* Removed conflicting lint and isort check in model helpers seems it's not appearing anymore * Removed disabled linting for accessing private method. `parent_foreign_key_mappings` becomes public because it is accessed by other instance than `self`. * Updated model's helper - removed unecessary exception and replaced with check while accessing global context to reset ownerships. * Updated model's helper - renamed unused attribute to private in user link method. * Updated model's helper - added specific exception for adding extra json column. Removed disabled pylint rule. * Applied changes after review to `models/helpers.py`: - removed unecesary function's param rename - added extra JSON content in exception * Removed self.extra_json content from exception message.
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset | Supported Databases | Installation and Configuration | Get Help | Contributor Guide | Resources | Superset Users
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View Dashboards
Slice & dice your data
Query and visualize your data with SQL Lab
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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...














