ba0c37d3df
* Frontend implementation of create dataset from infobox * Fixed sl_dataset type * Fix test * Fixed sl_dataset type (forgot to save) * RTL testing * Adjusted styling/text on infobox and save dataset modal * Appease lint * Make infobox invisible and fix tests * Remove unnecessary placeholder * Move types to sql lab * Moved logic into save dataset modal * Change DatasourceMeta type to Dataset * Add ExploreDatasource union type to save dataset modal * Get user info from redux inside save dataset modal * Addressed comments * Adjusting to new query type * Fixed save dataset in explore and union type * Added testing * Defined d for queries * Remove dataset from SaveDatasetModal * Clarify useSelector parameter * Fix dndControls union type * Fix shared-controls union type * Fix controlPanel union type * Move ExploreRootState to explore type file * Remove unnecessary testing playground * Move datasource type check in DatasourcePanel to a function * Make all sqllab Query imports reference @superset-ui/core Query type * Deconstruct query props in ResultSet * Fix union type in /legacy-plugin-chart-heatmap/src/controlPanel * Change SaveDatasetModal tests to RTL * Cleaned datasourceTypeCheck * Fix infobox styling * Fix SaveDatasetModal test * Fix query fixture in sqllab and Query type in SaveDatasetModal test * Fix Query type and make test query fixture * Added columns to Query type, separated results property, created QueryResponse union type, and fixed all types affected * Fixed a couple missed broken types * Added ExploreDatasource to SqlLab type file * Removed unneeded Query import from DatasourcePanel * Address PR comments * Fix columnChoices * Fix all incorrect column property checks * Fix logic on dndGroupByControl * Dry up savedMetrics type check * Fixed TIME_COLUMN_OPTION * Dried savedMetrics type check even further * Change savedMetricsTypeCheck to defineSavedMetrics * Change datasourceTypeCheck to isValidDatasourceType * Fix Query path in groupByControl * dnd_granularity_sqla now sorts Query types with is_dttm at the top * Fixed/cleaned query sort * Add sortedQueryColumns and proper optional chaining to granularity_sqla * Move testQuery to core-ui, add test coverage for Queries in columnChoices * Moved DEFAULT_METRICS to core-ui and wrote a test for defineSavedMetrics * Add license and clean dataset test object * Change DatasourceType.Dataset to dataset |
||
|---|---|---|
| .github | ||
| RELEASING | ||
| RESOURCES | ||
| docker | ||
| docs | ||
| helm/superset | ||
| requirements | ||
| scripts | ||
| superset | ||
| superset-embedded-sdk | ||
| superset-frontend | ||
| superset-websocket | ||
| tests | ||
| .asf.yaml | ||
| .codecov.yml | ||
| .dockerignore | ||
| .editorconfig | ||
| .flaskenv | ||
| .fossa.yml | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| .pre-commit-config.yaml | ||
| .pylintrc | ||
| .rat-excludes | ||
| CHANGELOG.md | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| INSTALL.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| Makefile | ||
| NOTICE | ||
| README.md | ||
| UPDATING.md | ||
| docker-compose-non-dev.yml | ||
| docker-compose.yml | ||
| lintconf.yaml | ||
| pytest.ini | ||
| setup.cfg | ||
| setup.py | ||
| tox.ini | ||
| yarn.lock | ||
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
Why Superset?
Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
Superset provides:
- A no-code interface for building charts quickly
- A powerful, web-based SQL Editor for advanced querying
- A lightweight semantic layer for quickly defining custom dimensions and metrics
- Out of the box support for nearly any SQL database or data engine
- A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
- Lightweight, configurable caching layer to help ease database load
- Highly extensible security roles and authentication options
- An API for programmatic customization
- A cloud-native architecture designed from the ground up for scale
Screenshots & Gifs
Large Gallery of Visualizations
Craft Beautiful, Dynamic Dashboards
No-Code Chart Builder
Powerful SQL Editor
Supported Databases
Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) 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
-
Getting Started with Superset
-
Deploying Superset
-
Recordings of Past Superset Community Events
-
Visualizations