mirror of
https://github.com/apache/superset.git
synced 2026-04-19 08:04:53 +00:00
4d329071a1
* Generate JWT in Flask app * Refactor chart data API query logic, add JWT validation and async worker * Add redis stream implementation, refactoring * Add chart data cache endpoint, refactor QueryContext caching * Typing, linting, refactoring * pytest fixes and openapi schema update * Enforce caching be configured for async query init * Async query processing for explore_json endpoint * Add /api/v1/async_event endpoint * Async frontend for dashboards [WIP] * Chart async error message support, refactoring * Abstract asyncEvent middleware * Async chart loading for Explore * Pylint fixes * asyncEvent middleware -> TypeScript, JS linting * Chart data API: enforce forced_cache, add tests * Add tests for explore_json endpoints * Add test for chart data cache enpoint (no login) * Consolidate set_and_log_cache and add STORE_CACHE_KEYS_IN_METADATA_DB flag * Add tests for tasks/async_queries and address PR comments * Bypass non-JSON result formats for async queries * Add tests for redux middleware * Remove debug statement Co-authored-by: Ville Brofeldt <33317356+villebro@users.noreply.github.com> * Skip force_cached if no queryObj * SunburstViz: don't modify self.form_data * Fix failing annotation test * Resolve merge/lint issues * Reduce polling delay * Fix new getClientErrorObject reference * Fix flakey unit tests * /api/v1/async_event: increment redis stream ID, add tests * PR feedback: refactoring, configuration * Fixup: remove debugging * Fix typescript errors due to redux upgrade * Update UPDATING.md * Fix failing py tests * asyncEvent_spec.js -> asyncEvent_spec.ts * Refactor flakey Python 3.7 mock assertions * Fix another shared state issue in Py tests * Use 'sub' claim in JWT for user_id * Refactor async middleware config * Fixup: restore FeatureFlag boolean type Co-authored-by: Ville Brofeldt <33317356+villebro@users.noreply.github.com>
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset | Supported Databases | Installation and Configuration | Get Help | Contributor Guide | Resources | Superset Users
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 to explore and visualize datasets, and create interactive dashboards.
- A wide array of beautiful visualizations to showcase your data.
- Easy, code-free, user flows to drill down and slice and dice the data underlying exposed dashboards. The dashboards and charts act as a starting point for deeper analysis.
- A state of the art SQL editor/IDE exposing a rich metadata browser, and an easy workflow to create visualizations out of any result set.
- An extensible, high granularity security model allowing intricate rules on who can access which product features and datasets. Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
- A lightweight semantic layer, allowing to control how data sources are exposed to the user by defining dimensions and metrics
- Out of the box support for most SQL-speaking databases
- Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
- Fast loading dashboards with configurable caching
Supported Databases
Superset speaks many SQL dialects through SQLAlchemy - a Python SQL toolkit that is compatible with most databases. Here are some of the major database solutions that are supported:
A complete list of supported databases can be found here.
Installation and Configuration
Get Involved
- Ask and answer questions on StackOverflow
- 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 101 -- Getting Started Guide (From Preset Blog)
- Docker image
- Youtube Channel
- So, You Want to Build a Superset Viz Plugin...