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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

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Packages

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

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0 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

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4,871 Commits

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NameName
Last commit message
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.NET Interactive

What is .NET Interactive?

.NET Interactive is an engine and API for running and editing code interactively, including:

  • Running code and getting its results.
  • Evaluating code to provide language services such as completions and diagnostics.
  • Sharing data and variables between multiple languages and across remote machines.

While typically associated with notebook technologies such as Jupyter and the Polyglot Notebooks extension for Visual Studio Code, .NET Interactive has other uses as well, such as building REPLs and embedded script engines.

The following languages are supported by Polyglot Notebooks and .NET Interactive:

LanguageVariable sharing
C#
F#
PowerShell
JavaScript
SQL
KQL (Kusto Query Language)
Python
R
HTML
Mermaid

Polyglot Notebooks

Since .NET Interactive is capable of running as a kernel for notebooks, it enables a polyglot (multi-language) notebook experience. When using the .NET Interactive kernel, you can use different languages from one cell to the next, share variables between languages, and dynamically connect new languages and remote kernels within a notebook. There's no need to install different Jupyter kernels, use wrapper libraries, or install different tools to get the best experience for the language of your choice. You can always use the best language for the job and seamlessly transition between different stages of your workflow, all within one notebook.

For the best experience when working with multi-language notebooks, we recommend installing the Polyglot Notebooks extension for Visual Studio Code. While the full .NET Interactive feature set is available in Jupyter, many features are only usable via code, whereas the Polyglot Notebooks extension provides additional features including a language/kernel picker for each cell, enhanced language services, a multi-kernel variable viewer, and more.

Jupyter

The most popular notebook platform is Jupyter, and .NET Interactive is a fully supported Jupyter kernel that you can use with Jupyter Notebook, JupyterLab, nteract, and other Jupyter frontends. You can read more about using .NET Interactive as a Jupyter kernel here.

REPLs

.NET Interactive can be used as the execution engine for REPLs as well. The experimental .NET REPL is one example of a command line REPL built on .NET Interactive. In addition, .NET REPL can be used for automated command line execution of notebooks.

Small factor devices

We support running on devices like Raspberry Pi and pi-top [4]. You can find instructions here.

FAQ

For more information, please refer to our FAQ.

Acknowledgements

The multi-language experience of .NET Interactive is truly a collaborative effort among different teams at Microsoft and in the community. We'd like to thank the following teams for contributing their time and expertise to helping bring support for other languages:

  • PowerShell Team: PowerShell support
  • Azure Data Team: SQL and KQL support
  • Azure Notebooks Team: Python, R, and Jupyter subkernel support

Telemetry

Telemetry is collected when the dotnet-interactive tool is started. (If you are using the .NET Interactive libraries directly, they do not emit telemetry.) Once dotnet-interactive is running, it emits the names of packages imported into the notebook and the languages used to run individual cells. This data is hashed, allowing us to count unique values, but the pre-hashed values cannot be obtained from the telemetry. We do not collect any additional code or clear text from cells. All telemetry is anonymous. In addition, dotnet-interactive reports the usage for a specific subset of the verbs in the .NET Interactive CLI. Those verbs are:

  • dotnet interactive jupyter
  • dotnet interactive jupyter install
  • dotnet interactive stdio

How to opt out

The .NET Interactive telemetry feature is enabled by default. To opt out of the telemetry feature, set the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to 1 or true.

Disclosure

The .NET Interactive tool displays text similar to the following when you first run one of the .NET Interactive CLI commands (for example, dotnet interactive jupyter install). Text may vary slightly depending on the version of the tool you're running. This "first run" experience is how Microsoft notifies you about data collection.

Telemetry---------The .NET Core tools collect usage data in order to help us improve your experience.The data is anonymous and doesn't include command-line arguments. The data is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.

To disable this message and the .NET Core welcome message, set the DOTNET_INTERACTIVE_SKIP_FIRST_TIME_EXPERIENCE environment variable to true. Note that this variable has no effect on telemetry opt out.

Contribution Guidelines

You can contribute to .NET Interactive with issues and pull requests. Simply filing issues for problems you encounter is a great way to contribute. Contributing code improvements is greatly appreciated. You can read more about our contribution guidelines here.

About

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Resources

Code of conduct

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages