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apache / superset / refs/heads/justin--4.0
commit8536cf0c60cf2dd1af2dd216402c24a5f4a4b7c6[log] [tgz]
authorJUST.in DO IT <justin.park@airbnb.com>Tue Mar 19 14:32:46 2024 -0700
committerGitHub <noreply@github.com>Tue Mar 19 14:32:46 2024 -0700
tree7112683089cdd4e9d5493933200c05c1e8a11a00
parentf52647ff48219482bc65191834e9815a7e1f6dc3 [diff]
DO NOT MERGE: test show allowlist only (#27578)
7 files changed
tree: 7112683089cdd4e9d5493933200c05c1e8a11a00
  1. .github/
  2. CHANGELOG/
  3. docker/
  4. docs/
  5. helm/
  6. RELEASING/
  7. requirements/
  8. RESOURCES/
  9. scripts/
  10. superset/
  11. superset-embedded-sdk/
  12. superset-frontend/
  13. superset-websocket/
  14. tests/
  15. .asf.yaml
  16. .codecov.yml
  17. .dockerignore
  18. .editorconfig
  19. .flaskenv
  20. .fossa.yml
  21. .gitattributes
  22. .gitignore
  23. .gitmodules
  24. .markdownlint.json
  25. .pre-commit-config.yaml
  26. .pylintrc
  27. .rat-excludes
  28. CHANGELOG.md
  29. CODE_OF_CONDUCT.md
  30. CONTRIBUTING.md
  31. docker-compose-non-dev.yml
  32. docker-compose.yml
  33. Dockerfile
  34. dockerize.Dockerfile
  35. INSTALL.md
  36. LICENSE.txt
  37. lintconf.yaml
  38. Makefile
  39. MANIFEST.in
  40. NOTICE
  41. pytest.ini
  42. README.md
  43. setup.cfg
  44. setup.py
  45. superset_text.yml
  46. tox.ini
  47. UPDATING.md
README.md

Superset

License GitHub release (latest SemVer) Build Status PyPI version Coverage Status PyPI Get on Slack Documentation

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

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Video Overview

https://user-images.githubusercontent.com/64562059/234390129-321d4f35-cb4b-45e8-89d9-20ae292f34fc.mp4

Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) 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

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 “In the Wild” - open a PR to add your org to the list!
  • Feature Flags - the status of Superset's Feature Flags.
  • Standard Roles - How RBAC permissions map to roles.
  • Superset Wiki - Tons of additional community resources: best practices, community content and other information.
  • Superset SIPs - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.

Superset 2.0!

Understanding the Superset Points of View