* Added release notes and associated media for 0.38 * Added ASF license header to release notes * refactored the release notes directory structure. Re-added media to the 0.38 release notes. * fixed broken image and hyperlink * fixed broken image and hyperlink pt 2 * Swapped out media embed tags Swapped out github style markdown embed tags with html style ones for more control. * Fixing small inconsistencies Fixed a couple small inconsistencies in the feature tags * Resize media, update embed style Seems like GitHub does not any but the most basic css in the embed tag. * Spelling nit * Fixed some formatting nits Added a box around the images to clearly distinguish them from the whitespace. Images are now embedded on the same indentation tier as their associated bullet point. * Rebase to hopefully fix cypres problems * May the cypress gods be pleased with this commit.
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Superset
A modern, enterprise-ready business intelligence web application.
Why Superset | Supported Databases | Installation and Configuration | Release Notes | 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
- Building Custom Viz Plugins
- Superset API