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Apache Superset is a Data Visualization and Data Exploration Platform
analyticsapacheapache-supersetasfbibusiness-analyticsbusiness-intelligencedata-analysisdata-analyticsdata-engineeringdata-sciencedata-visualizationdata-vizflaskpythonreactsql-editorsuperset
cc44a2c01b
* create boiler modal component
* hello world modal
* setup modal flow
* setup savemodal for components
* flake8
* fix onclick reference
* working create datasource boiler
* saving spot for callback on text input
* working dataset with input box
* working redirect on completion
* get data for owners dropdown
* fix build with pull from master
* fix the filteroption
* 💯
* move state to upper component
* add overwrite state
* hacked overwrite process
* linting
* fix filter
* cleaning up the coe
* Delete preset.code-workspace
* remove unused code
* remove visualize
* update default value
* remove unneeded vars
* checkout package-lock.json
* linting
* get user id
* remove page filter
* setup proper call for updating columns in dataset
* add move to explore flow
* linting
* add param for overriding columns
* linting
* change title
* fix some tings
* cleanup
* linting
* add types in some places
* save toast
* use moment
* add error toast
* create enum for radio states
* initial state for saving query
* add tpying
* addressing concerns
* update propTypes
* add functionality for CTAS explor btn
* handle CTAS state
* fix onclick to reference upper level component
* formatting
* reset state after closing
* add error message when user doesn't pick an already selected dataset
* remove unneeded todo
* remove styling
* move async calls to api directory
* remove console.log
* add user id param
* typing
* littty
* move put to seperate file
* save
* dsf
* fix typing errors
* adding more types
* fix typing erros
* linting
* add basic spec test
* create dataset modal
* add components reference
* Rename SaveDatasetModal_spec.jsx to SaveDatasetModal_spec.tsx
* remove sinon for now
* fix typing errors on modal files
* fix linting
* address comments
* attempt to fix linting
* add props
* fix test
* fix the linting
* yerp
* fix this references
* spaces
* handleOverwriteCancel reference cleanup
* rename bool value for shouldOverwriteDataset
* fix typing for onChange
* you still the best in the world
* fix spec
* align branches
* push
* fix key names
* fix dataset reference
* lowercase
* fix save bug with tiem
* fixed styling
* fix date state after push to explore
* add disabling states
* plz refactor this
* this is working fully now
* do some renaming
* renaming
* remove console.logs
* still refactoring
* remove unneeded code
* remove unneeded variables
* still cleaning
* added interface
* fix typing issues
* cleanup unused code
* fix npm lnit
* fix initial problems
* add props to test
* remove unneeded files
* skip linting
* saving
* this works
* remove old test
* remove old test
* fix linting
* fix broken test
* remove jsx file
* refactoring
* cleanup
* remove comments
* reset user object
* fix functions
* fix this
* reverting CTAS btn flow
* remove onclick
* save frontend work
* allow for database id to be passed as param in body
* use enum
* fix linting
* style alignment
* get rid of .then
* add function to compute default value with tiem
* lit
* remove ts-error
* fix typing
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| docker | ||
| docs | ||
| helm/superset | ||
| RELEASING | ||
| requirements | ||
| scripts | ||
| superset | ||
| superset-frontend | ||
| tests | ||
| .asf.yaml | ||
| .codecov.yml | ||
| .dockerignore | ||
| .editorconfig | ||
| .flaskenv | ||
| .fossa.yml | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| .pylintrc | ||
| .rat-excludes | ||
| CHANGELOG.md | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DISCLAIMER | ||
| docker-compose.yml | ||
| Dockerfile | ||
| INSTALL.md | ||
| INTHEWILD.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| NOTICE | ||
| pytest.ini | ||
| README.md | ||
| setup.cfg | ||
| setup.py | ||
| tox.ini | ||
| UPDATING.md | ||
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
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 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...