Kamil Gabryjelski 8a774d59ed Eslint dependencies versions updates (#10839)
* Update eslint version to 7.8.1

* Give names to unnamed functions  to fix lint errors

* Update eslint-import-resolver-webpack

* Update eslint-plugin-cypress

* Add eslint-plugin-react-hooks

* Update necessary peer dependencies for eslint-config-airbnb

* Update eslint airbnb config and ts plugins

* Remove "this" from functional component

* Disable all rules that cause new errors

* Fix linting errors in tests

* Add licenses to .eslintrc files

* Add path and zlib to package.json

* Disable incompatible rule in eslint-plugin-cypress

* Remove redundant config for typescript linting

* Mark disabled rules with comments

* Remove path and zlib from deps, disable import rule for webpack files
2020-09-13 23:59:02 -07:00
2020-08-11 13:17:25 -07:00
2019-11-20 15:47:06 +00:00
2020-03-25 22:00:41 -07:00

Superset

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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

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:

redshift google-biquery snowflake presto druid postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin

A complete list of supported databases can be found here.

Installation and Configuration

See in the documentation

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

Languages
TypeScript 50.4%
Python 38.9%
Jupyter Notebook 6.3%
HTML 3.5%
JavaScript 0.5%
Other 0.3%