d25b0967a1
* allow csv upload to accept parquet file * fix mypy * fix if statement * add test for specificying columns in CSV upload * clean up test * change order in test * fix failures * upload parquet to seperate table in test * fix error message * fix mypy again * rename other extensions to columnar * add new form for columnar upload * add support for zip files * undo csv form changes except usecols * add more tests for zip * isort & black * pylint * fix trailing space * address more review comments * pylint * black * resolve remaining issues |
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| superset | ||
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| CHANGELOG.md | ||
| CODE_OF_CONDUCT.md | ||
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| docker-compose-non-dev.yml | ||
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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
- Getting Started with Superset
- Documentation for Superset End-Users (by Preset)
- Deploying Superset
- Recordings of Past Community Events
- Upcoming Superset Events
- Visualizations
- Superset API