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* add support for adhoc columns to api and sqla model * fix some types * fix duplicates in column names * fix more lint * fix schema and dedup * clean up some logic * first pass at fixing viz.py * Add frontend support for adhoc columns * Add title edit * Fix showing custom title * Use column name as default value in sql editor * fix: Adds a loading message when needed in the Select component (#16531) * fix(tests): make parquet select deterministic with order by (#16570) * bump emotion to help with cache clobbering (#16559) * fix: Support Jinja template functions in global async queries (#16412) * Support Jinja template functions in async queries * Pylint * Add tests for async tasks * Remove redundant has_request_context check * fix: impersonate user label/tooltip (#16573) * docs: update for small typos (#16568) * feat: Add Aurora Data API engine spec (#16535) * feat: Add Aurora Data API engine spec * Fix lint * refactor: sql_json view endpoint: encapsulate ctas parameters (#16548) * refactor sql_json view endpoint: encapsulate ctas parameters * fix failed tests * fix failed tests and ci issues * refactor sql_json view endpoint: separate concern into ad hod method (#16595) * feat: Experimental cross-filter plugins (#16594) * fix:fix get permission function * feat: add cross filter chart in charts gallery under FF * chore(deps): bump superset-ui to 0.18.2 (#16601) * update type guard references * fix imports * update series_columns schema * Add changes that got lost in rebase * Use current columns name or expression as sql editor init value * add integration test and do minor fixes * Bump superset-ui * fix linting issue * bump superset-ui to 0.18.22 * resolve merge conflict * lint * fix select filter infinite loop * bump superset-ui to 0.18.23 * Fix auto setting column popover title * Enable adhoc columns only if UX_BETA enabled * put back removed test * Move popover height and width to constants * Refactor big ternary expression Co-authored-by: Kamil Gabryjelski <kamil.gabryjelski@gmail.com> Co-authored-by: Michael S. Molina <70410625+michael-s-molina@users.noreply.github.com> Co-authored-by: Elizabeth Thompson <eschutho@gmail.com> Co-authored-by: Rob DiCiuccio <rob.diciuccio@gmail.com> Co-authored-by: Beto Dealmeida <roberto@dealmeida.net> Co-authored-by: joeADSP <75027008+joeADSP@users.noreply.github.com> Co-authored-by: ofekisr <35701650+ofekisr@users.noreply.github.com> Co-authored-by: simcha90 <56388545+simcha90@users.noreply.github.com>
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