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Apache Superset is a Data Visualization and Data Exploration Platform
analyticsapacheapache-supersetasfbibusiness-analyticsbusiness-intelligencedata-analysisdata-analyticsdata-engineeringdata-sciencedata-visualizationdata-vizflaskpythonreactsql-editorsuperset
fb69984857
* feat: hello world plugin * Fix yeoman generator * Adding Emotion to template and template result * adding `reactify` technique to example code * fixing errant comma * annoying lint issue * React needed for JSX * questionable typing fix * labelling options * freshly generated hello world * linting and freshly generated plugin * add comments to buildQuery * Add docs * nixing word cloud console logs * lint annoyance * a note on multiple plugin exports * second option for building a plugin is now enabled * Officially supporting viz plugins ;) * fresh plugin build * Adding note about controls, and TODOs for example controls * linting * new lock file * adding file structure to readme * more transform props notes * better notes, better linting * Adding a third option for rendering plugin * fresh package rendering * manually updated plugin. Now let's see if the generator matches it! * template changes, fresh plugin render. * moving file tree to the right place * touchups to template (killing third option) * thumbnail update * Spit out form data, for good measure. * more clarity * dummy controls * bold control works, fresh docs, fresh build! * typing for fancy props * bump superset-ui deps to 0.14 * Implement header text and font size * Add tests + mcense headers + inor cleanup * Replace YourPluginName with packageLabel in README * remove trailing spaces * fix hard coded reference to HelloWorld * removing legacy generators * plugin comment tweaks * typescript comments, minor formatting * adding option for badges in readme * generator offers choice of function or class plugin * Add timeseries option * killing the plugin... we'll make that a separate PR. * add new tests * remove unnecessary imports * fix timeseries type * comment on value/label in select options Co-authored-by: Jesse Yang <jesse.yang@airbnb.com> * moving renderTrigger note up to first instance * control-utils -> chart-controls * Wrapper -> Styles nomenclature * Stronger typing (H/T @ktmud) * ControlPanelConfig type on control config * nixing requiresTime * moving Styles component to be external, passing it props * lint nits * typing tweak Co-authored-by: Ville Brofeldt <ville.v.brofeldt@gmail.com> Co-authored-by: Jesse Yang <jesse.yang@airbnb.com> |
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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 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:
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
- Ask and answer questions on StackOverflow using the apache-superset tag
- Join our community's Slack and please read our Slack Community Guidelines
- Join our dev@superset.apache.org Mailing list
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
- Superset 1.0
- Getting Started with Superset
- Documentation for Superset End-Users (by Preset)
- Deploying Superset
- Recordings of Past Community Events
- Upcoming Superset Events
- Visualizations
- Superset API