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apache / superset / refs/heads/move-controls
commita8e85ee6d9deeb14ba0d1d854f5ecd1ff9ed61de[log] [tgz]
authorEvan Rusackas <evan@rusackas.com>Tue Aug 19 09:42:31 2025 -0700
committerEvan Rusackas <evan@rusackas.com>Tue Aug 19 09:42:31 2025 -0700
tree44ee7c316ff04b3a866be9aa1bc92cd12a4b5683
parent361a7f0f94dece286cdb9f0fcf967669633a8cc3 [diff]
refactor: Migrate control components to @superset-ui/chart-controls package

- Created wrapper components for controls not yet in the package:
  - CheckboxControl, TextControl, SelectControl, SliderControl
  - DndFilterSelect, Control (generic wrapper)
- Updated all Timeseries control panels to import from @superset-ui/chart-controls
  - Bar, Line, Scatter, SmoothLine control panels now use package imports
  - Eliminated deep relative imports for better reusability
- Ensures better reusability and cleaner architecture
- All components compile successfully with webpack

This completes the migration of control components to the npm package
for better modularity and reusability across the codebase.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
12 files changed
tree: 44ee7c316ff04b3a866be9aa1bc92cd12a4b5683
  1. .cursor/
  2. .devcontainer/
  3. .github/
  4. ASF/
  5. CHANGELOG/
  6. docker/
  7. docs/
  8. helm/
  9. RELEASING/
  10. requirements/
  11. RESOURCES/
  12. scripts/
  13. superset/
  14. superset-embedded-sdk/
  15. superset-frontend/
  16. superset-websocket/
  17. tests/
  18. CLAUDE.md ⇨ LLMS.md
  19. GEMINI.md ⇨ LLMS.md
  20. GPT.md ⇨ LLMS.md
  21. .asf.yaml
  22. .claude_rc
  23. .codecov.yml
  24. .coveragerc
  25. .dockerignore
  26. .editorconfig
  27. .flaskenv
  28. .fossa.yml
  29. .gitattributes
  30. .gitignore
  31. .gitmodules
  32. .markdownlint.json
  33. .pre-commit-config.yaml
  34. .pylintrc
  35. .rat-excludes
  36. CHANGELOG.md
  37. CODE_OF_CONDUCT.md
  38. CONTRIBUTING.md
  39. CONTROL_PANEL_MIGRATION_AGENT.md
  40. CONTROL_PANEL_MODERNIZATION.md
  41. docker-compose-image-tag.yml
  42. docker-compose-light.yml
  43. docker-compose-non-dev.yml
  44. docker-compose.yml
  45. Dockerfile
  46. dockerize.Dockerfile
  47. INSTALL.md
  48. LICENSE.txt
  49. lintconf.yaml
  50. LLMS.md
  51. Makefile
  52. MANIFEST.in
  53. NOTICE
  54. package-lock.json
  55. package.json
  56. PIE_CHART_MIGRATION_PLAN.md
  57. pyproject.toml
  58. pytest.ini
  59. README.md
  60. setup.py
  61. superset_text.yml
  62. UPDATING.md
README.md

Superset

License Latest Release on Github 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

superset-video-1080p.webm

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

Try out Superset's quickstart guide or learn about the options for production deployments.

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.

Understanding the Superset Points of View

Repo Activity