0cc8eff1c3
* Simplifying the viz interface (#2005) * Working on dashes * Making this a collaborative branch * Fixing some bugs * Fixing bugs * More improvements * Add datasource back in bootstrap data * Decent state * Linting * Moving forward * Some more linting * Fix the timer * Triggering events through state * Lingint * Put filters in an array instead of flt strings (#2090) * Put filters in an array instead of flt strings * Remove query_filter(), put opChoices into Filter * Update version_info.json * Fix migrations * More renderTrigger=true * Fixing bugs * Working on standalone * getting standalone to work * Fixed forcedHeight for standalone =view * Linting * Get save slice working in v2 (#2106) * Filter bugfix * Fixing empty series limit bug * Fixed dashboard view * Fixing short urls * Only allow owners to overwrite slice (#2142) * Raise exception when date range is wrong * Only allow owner to overwrite a slice * Fix tests for deprecate v1 (#2140) * Fixed tests for control panels container and filters * Fixed python tests for explorev2 * Fix linting errors * Add in stop button during slice querying/rendering (#2121) * Add in stop button during slice querying/rendering * Abort ajax request on stop * Adding missing legacy module * Removing select2.sortable.js because of license * Allow query to display while slice is loading (#2100) * Allow query to display while slice is loading * Put latestQueryFormData in store * Reorganized query function, got rid of tu[le return values * Merging migrations * Wrapping up shortner migration * Fixing tests * Add folder creation to syncBackend * Fixing edit URL in explore view * Fix look of Stop button * Adding syntax highlighting to query modal * Fix cast_form_data and flase checkbox on dash * Bugfix * Going deeper * Fix filtering * Deleing invalid filters when changing datasource * Minor adjustments * Fixing calendar heatmap examples * Moving edit datasource button to header's right side * Fixing mapbox example * Show stack trace when clicking alert * Adding npm sync-backend command to build instruction * Bumping up JS dependencies * rm dep on select2 * Fix py3 urlparse * rm superset-select2.js * Improving migration scripts * Bugfixes on staging * Fixing Markup viz |
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| babel | ||
| docs | ||
| scripts | ||
| superset | ||
| tests | ||
| .codeclimate.yml | ||
| .coveralls.yml | ||
| .gitignore | ||
| .landscape.yml | ||
| .pycodestyle | ||
| .travis.yml | ||
| CHANGELOG.md | ||
| CONTRIBUTING.md | ||
| INTHEWILD.md | ||
| ISSUE_TEMPLATE.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| README.md | ||
| TODO.md | ||
| alembic.ini | ||
| dev-reqs-for-docs.txt | ||
| dev-reqs.txt | ||
| pypi_push.sh | ||
| run_specific_test.sh | ||
| run_tests.sh | ||
| setup.cfg | ||
| setup.py | ||
| tox.ini | ||
README.md
Superset
Superset is a data exploration platform designed to be visual, intuitive and interactive.
[this project used to be named Caravel, and Panoramix in the past]
Screenshots & Gifs
View Dashboards
**View/Edit a Slice** 
**Query and Visualize with SQL Lab** 
Superset
Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
Superset provides:
- A quick way to intuitively visualize datasets by allowing users to create and share interactive dashboards
- A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities
- An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler)
- A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user
- Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
- Fast loading dashboards with configurable caching
Database Support
Superset was originally designed on top of Druid.io, but quickly broadened its scope to support other databases through the use of SQLAlchemy, a Python ORM that is compatible with most common databases.
What is Druid?
From their website at http://druid.io
Druid is an open-source analytics data store designed for business intelligence (OLAP) queries on event data. Druid provides low latency (real-time) data ingestion, flexible data exploration, and fast data aggregation. Existing Druid deployments have scaled to trillions of events and petabytes of data. Druid is best used to power analytic dashboards and applications.
Installation & Configuration
More screenshots
Resources
- Superset Google Group
- Gitter (live chat) Channel
- Docker image (community contributed)
- Slides from Strata (March 2016)
Tip of the Hat
Superset would not be possible without these great frameworks / libs
- Flask App Builder - Allowing us to focus on building the app quickly while getting the foundation for free
- The Flask ecosystem - Simply amazing. So much Plug, easy play.
- NVD3 - One of the best charting libraries out there
- Much more, check out the
install_requiressection in the setup.py file!
Contributing
Interested in contributing? Casual hacking? Check out Contributing.MD