41738df77d
* Upgrade react-split * Implement split on ExploreChartPanel * Implement tabs with collapse * Fix run query button * Fix copy to clipboard button * Move table controls to separate file * Make component more generic to handle samples * Remove samples from DisplayQueryButton * Move data tables to separate file * Make split dynamically controlled * Fix unit test * Fix arrow not centered * fixup! Fix arrow not centered * Change copy button paddings * Use translations * Fix grammar in a comment * Fix imports * Use grid units * Convert new files to typescript * Fix after rebase * Remove forceRender * Fix big_number test * Delay making request until panel is opened * White background in south panel * fixup! White background in south panel * Lint fix * Lint fix * Remove redundant prop types * Remove console log * Delay loading samples until user switches tab * Add debounce to filter input * Use gridUnit for gutter sizes * Change types object to Record<string, any>
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...