806fb73d25
* WIP node.js websocket app * Load testing * Multi-stream publish with blocking reads * Use JWT for auth and channel ID * Update ws jwt cookie name * Typescript * Frontend WebSocket transport support * ws server ping/pong and GC logic * ws server unit tests * GC interval config, debug logging * Cleanup JWT cookie logic * Refactor asyncEvents.ts to support non-Redux use cases * Update tests for refactored asyncEvents * Add eslint, write READMEs, reorg files * CI workflow * Moar Apache license headers * pylint found something * adjust GH actions workflow * Improve documentation & comments * Prettier * Add configurable logging via Winston * Add SSL support for Redis connections * Fix incompatible logger statements * Apply suggestions from code review Co-authored-by: David Aaron Suddjian <1858430+suddjian@users.noreply.github.com> * rename streamPrefix config Co-authored-by: David Aaron Suddjian <1858430+suddjian@users.noreply.github.com> |
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README.md
Superset
A modern, enterprise-ready business intelligence web application.
Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset
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 for visualizing datasets and crafting interactive dashboards
- A wide array of beautiful visualizations to showcase your data
- Code-free visualization builder to extract and present datasets
- A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
- A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
- Out-of-the-box support for most SQL-speaking databases
- Seamless, in-memory asynchronous caching and queries
- An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
- Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
- The ability to add custom visualization plugins
- An API for programmatic customization
- A cloud-native architecture designed from the ground up for scale
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
A more comprehensive list of supported databases along with the configuration instructions can be found here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Installation and Configuration
Extended documentation for Superset
Get Involved
- Ask and answer questions on StackOverflow using the apache-superset tag
- 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 1.0
- Superset 101 -- Getting Started Guide (From Preset Blog)
- Documentation for End-Users (by Preset)
- Docker image
- Recordings of Community Events
- May 2020: Virtual Meetup. Topics: 0.36 Overview, Committers Self-Intro, Roadmap
- July 2020: Virtual Meetup. Topics: Visualization Plugins, 0.37 Preview, Demo
- November 2020: Virtual Meetup. Topics: Superset 1.0 & the Roadmap
- November 2020: Live Demo. Topic: Superset Semantic Layer
- December 2020: Live Demo. Topic: Annotations
- Custom Visualizations
- Superset API