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apache / superset / af8f7253e161eae593934506c57d96333627d0fb
commitaf8f7253e161eae593934506c57d96333627d0fb[log] [tgz]
authorElizabeth Thompson <eschutho@gmail.com>Thu Jun 08 16:30:39 2023 -0700
committerGitHub <noreply@github.com>Thu Jun 08 16:30:39 2023 -0700
tree5e454883ce94b1846696f7d679e9392ccda15242
parente791ba5876449b19329fdddf8f3ad734d547b091 [diff]
fix: update order of build for testing a release (#24317)
2 files changed
tree: 5e454883ce94b1846696f7d679e9392ccda15242
  1. .github/
  2. docker/
  3. docs/
  4. helm/
  5. RELEASING/
  6. requirements/
  7. RESOURCES/
  8. scripts/
  9. superset/
  10. superset-embedded-sdk/
  11. superset-frontend/
  12. superset-websocket/
  13. tests/
  14. .asf.yaml
  15. .codecov.yml
  16. .dockerignore
  17. .editorconfig
  18. .flaskenv
  19. .fossa.yml
  20. .gitattributes
  21. .gitignore
  22. .gitmodules
  23. .markdownlint.json
  24. .pre-commit-config.yaml
  25. .pylintrc
  26. .rat-excludes
  27. CHANGELOG.md
  28. CODE_OF_CONDUCT.md
  29. CONTRIBUTING.md
  30. docker-compose-non-dev.yml
  31. docker-compose.yml
  32. Dockerfile
  33. INSTALL.md
  34. LICENSE.txt
  35. lintconf.yaml
  36. Makefile
  37. MANIFEST.in
  38. NOTICE
  39. pytest.ini
  40. README.md
  41. setup.cfg
  42. setup.py
  43. superset_text.yml
  44. tox.ini
  45. 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 2.0!

Understanding the Superset Points of View