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apache / superset / 5f92c2f0dc2302c6e6a8e3703cc9fd4608f4ab03
commit5f92c2f0dc2302c6e6a8e3703cc9fd4608f4ab03[log] [tgz]
authorMichael S. Molina <70410625+michael-s-molina@users.noreply.github.com>Wed Dec 13 17:10:51 2023 -0300
committerMichael S. Molina <michael.s.molina@gmail.com>Fri Dec 15 13:11:54 2023 -0300
tree4d2dfee8ce16620d0f32a4da66ba4cebc545b4d9
parentc878e2e102a39fec9fd70558e96e2d3dfbfb0bf7 [diff]
fix: Stacked charts with numerical columns (#26264)

(cherry picked from commit 429e2a33c3ac5a4b035e0cb113bc6e1e63a39e4c)
4 files changed
tree: 4d2dfee8ce16620d0f32a4da66ba4cebc545b4d9
  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. dockerize.Dockerfile
  34. INSTALL.md
  35. LICENSE.txt
  36. lintconf.yaml
  37. Makefile
  38. MANIFEST.in
  39. NOTICE
  40. pytest.ini
  41. README.md
  42. setup.cfg
  43. setup.py
  44. superset_text.yml
  45. tox.ini
  46. 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