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Dash

CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade

Dash is a Python framework for building analytical web applications. No JavaScript required.

Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.

App Samples

AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.

To learn more about Dash, read the extensive announcement letter or jump in with the user guide.

Contact and Support

For companies with software budgets, Plotly offers

  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need

See https://plotly.com/dash/support for ways to get in touch.

image

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Analytical Web Apps for Python, R, and Julia. No JavaScript Required.

plotly.com/dash

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Readme
MIT license

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Code of conduct

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, '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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Dash
CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade
Dash is a Python framework for building analytical web applications. No JavaScript required.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
App Samples
AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Contact and Support
For companies with software budgets, Plotly offers
  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need
See https://plotly.com/dash/support for ways to get in touch.
image
About
Analytical Web Apps for Python, R, and Julia. No JavaScript Required.
plotly.com/dash
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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, '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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Dash
CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade
Dash is a Python framework for building analytical web applications. No JavaScript required.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
App Samples
AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Contact and Support
For companies with software budgets, Plotly offers
  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need
See https://plotly.com/dash/support for ways to get in touch.
image
About
Analytical Web Apps for Python, R, and Julia. No JavaScript Required.
plotly.com/dash
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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('^' + ".*" + '

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Dash
CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade
Dash is a Python framework for building analytical web applications. No JavaScript required.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
App Samples
AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Contact and Support
For companies with software budgets, Plotly offers
  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need
See https://plotly.com/dash/support for ways to get in touch.
image
About
Analytical Web Apps for Python, R, and Julia. No JavaScript Required.
plotly.com/dash
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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
BranchesTags
Repository files navigation
Dash
CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade
Dash is a Python framework for building analytical web applications. No JavaScript required.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
App Samples
AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Contact and Support
For companies with software budgets, Plotly offers
  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need
See https://plotly.com/dash/support for ways to get in touch.
image
About
Analytical Web Apps for Python, R, and Julia. No JavaScript Required.
plotly.com/dash
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Dash
CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade
Dash is a Python framework for building analytical web applications. No JavaScript required.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
App Samples
AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Contact and Support
For companies with software budgets, Plotly offers
  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need
See https://plotly.com/dash/support for ways to get in touch.
image
About
Analytical Web Apps for Python, R, and Julia. No JavaScript Required.
plotly.com/dash
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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
BranchesTags
Repository files navigation
Dash
CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade
Dash is a Python framework for building analytical web applications. No JavaScript required.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
App Samples
AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Contact and Support
For companies with software budgets, Plotly offers
  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need
See https://plotly.com/dash/support for ways to get in touch.
image
About
Analytical Web Apps for Python, R, and Julia. No JavaScript Required.
plotly.com/dash
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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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Dash
CircleCIGitHubPyPIPyPI - Python VersionGitHub commit activityLGTM AlertsLGTM Grade
Dash is a Python framework for building analytical web applications. No JavaScript required.
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
App Samples
AppDescription
Sample Dash AppHere’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).
Crossfiltering Dash AppDash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
Dash App with Mapbox map showing walmart store openingsDash uses Plotly.js for charting. Over 35 chart types are supported, including maps.
Financial reportDash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.
To learn more about Dash, read the extensive announcement letter or jump in with the user guide.
Contact and Support
For companies with software budgets, Plotly offers
  • Dash Deployment Server speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
  • Dash Design Kit makes your internal dashboard awesome without expertise in JavaScript & CSS.
  • Snapshot Engine seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need
See https://plotly.com/dash/support for ways to get in touch.
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Analytical Web Apps for Python, R, and Julia. No JavaScript Required.
plotly.com/dash
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