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Repository files navigation

Superset

LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status

Superset

A modern, enterprise-ready business intelligence web application.

Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

Screenshots & Gifs

Gallery


View Dashboards


Slice & dice your data


Query and visualize your data with SQL Lab


Visualize geospatial data with deck.gl


Choose from a wide array of visualizations


Why Superset?

Superset provides:

  • An intuitive interface for visualizing datasets and crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on on who can access which product features and datasets.
  • Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

Get Involved

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources

About

Apache Superset is a Data Visualization and Data Exploration Platform

superset.apache.org/

Resources

Readme
Apache-2.0 license

Code of conduct

Code of conduct

Contributing

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Repository files navigation
Superset
LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? |
Supported Databases |
Installation and Configuration |
Release Notes |
Get Involved |
Contributor Guide |
Resources |
Organizations Using Superset
Screenshots & Gifs
Gallery

View Dashboards

Slice & dice your data

Query and visualize your data with SQL Lab

Visualize geospatial data with deck.gl

Choose from a wide array of visualizations

Why Superset?
Superset provides:
  • An intuitive interface for visualizing datasets and
crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on
on who can access which product features and datasets.
  • Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres
A more comprehensive list of supported databases along with the configuration instructions can be found
here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
Contributor Guide
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
About
Apache Superset is a Data Visualization and Data Exploration Platform
superset.apache.org/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
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Repository files navigation
Superset
LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? |
Supported Databases |
Installation and Configuration |
Release Notes |
Get Involved |
Contributor Guide |
Resources |
Organizations Using Superset
Screenshots & Gifs
Gallery

View Dashboards

Slice & dice your data

Query and visualize your data with SQL Lab

Visualize geospatial data with deck.gl

Choose from a wide array of visualizations

Why Superset?
Superset provides:
  • An intuitive interface for visualizing datasets and
crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on
on who can access which product features and datasets.
  • Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres
A more comprehensive list of supported databases along with the configuration instructions can be found
here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
Contributor Guide
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
About
Apache Superset is a Data Visualization and Data Exploration Platform
superset.apache.org/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
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Repository files navigation
Superset
LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? |
Supported Databases |
Installation and Configuration |
Release Notes |
Get Involved |
Contributor Guide |
Resources |
Organizations Using Superset
Screenshots & Gifs
Gallery

View Dashboards

Slice & dice your data

Query and visualize your data with SQL Lab

Visualize geospatial data with deck.gl

Choose from a wide array of visualizations

Why Superset?
Superset provides:
  • An intuitive interface for visualizing datasets and
crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on
on who can access which product features and datasets.
  • Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres
A more comprehensive list of supported databases along with the configuration instructions can be found
here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
Contributor Guide
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
About
Apache Superset is a Data Visualization and Data Exploration Platform
superset.apache.org/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
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0 forks
Report repository
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Repository files navigation
Superset
LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? |
Supported Databases |
Installation and Configuration |
Release Notes |
Get Involved |
Contributor Guide |
Resources |
Organizations Using Superset
Screenshots & Gifs
Gallery

View Dashboards

Slice & dice your data

Query and visualize your data with SQL Lab

Visualize geospatial data with deck.gl

Choose from a wide array of visualizations

Why Superset?
Superset provides:
  • An intuitive interface for visualizing datasets and
crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on
on who can access which product features and datasets.
  • Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres
A more comprehensive list of supported databases along with the configuration instructions can be found
here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
Contributor Guide
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
About
Apache Superset is a Data Visualization and Data Exploration Platform
superset.apache.org/
Resources
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Superset
LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? |
Supported Databases |
Installation and Configuration |
Release Notes |
Get Involved |
Contributor Guide |
Resources |
Organizations Using Superset
Screenshots & Gifs
Gallery

View Dashboards

Slice & dice your data

Query and visualize your data with SQL Lab

Visualize geospatial data with deck.gl

Choose from a wide array of visualizations

Why Superset?
Superset provides:
  • An intuitive interface for visualizing datasets and
crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on
on who can access which product features and datasets.
  • Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres
A more comprehensive list of supported databases along with the configuration instructions can be found
here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
Contributor Guide
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
About
Apache Superset is a Data Visualization and Data Exploration Platform
superset.apache.org/
Resources
Readme
Apache-2.0 license
Code of conduct
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Repository files navigation
Superset
LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? |
Supported Databases |
Installation and Configuration |
Release Notes |
Get Involved |
Contributor Guide |
Resources |
Organizations Using Superset
Screenshots & Gifs
Gallery

View Dashboards

Slice & dice your data

Query and visualize your data with SQL Lab

Visualize geospatial data with deck.gl

Choose from a wide array of visualizations

Why Superset?
Superset provides:
  • An intuitive interface for visualizing datasets and
crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on
on who can access which product features and datasets.
  • Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres
A more comprehensive list of supported databases along with the configuration instructions can be found
here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
Contributor Guide
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
About
Apache Superset is a Data Visualization and Data Exploration Platform
superset.apache.org/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
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// Universal Dark Mode - works on any site
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if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
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var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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Repository files navigation
Superset
LicenseGitHub release (latest SemVer)Build StatusPyPI versionCoverage StatusPyPIGet on SlackDocumentationDependencies Status
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? |
Supported Databases |
Installation and Configuration |
Release Notes |
Get Involved |
Contributor Guide |
Resources |
Organizations Using Superset
Screenshots & Gifs
Gallery

View Dashboards

Slice & dice your data

Query and visualize your data with SQL Lab

Visualize geospatial data with deck.gl

Choose from a wide array of visualizations

Why Superset?
Superset provides:
  • An intuitive interface for visualizing datasets and
crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on
on who can access which product features and datasets.
  • Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
redshiftgoogle-biquerysnowflakeprestodruidpostgresqlmysqlmssql-serverdb2sqlitesybasemariadbverticaoraclefirebirdgreenplumclickhouseexasolmonet-dbapache-kylinhologres
A more comprehensive list of supported databases along with the configuration instructions can be found
here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
Contributor Guide
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
About
Apache Superset is a Data Visualization and Data Exploration Platform
superset.apache.org/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
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Stars
0 stars
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0 watching
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Report repository
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