This is modified version of Apache Superset forked from main repo https://github.com/apache/incubator-superset branch 0.30 with many modifications as listed in BEACON_CHANGES.md.
This version of Superset runs on python 3.6, you need to install (using pip) all packages as described in requirements.txt file.
Edit env.sh:
- edit PYTHONPATH to add current superset root directory to the path
- edit SUPERSET_HOME to location where superset db will be created, wiht proper read/write permissions
- edit location SUPERSET_CONFIG_PATH to where custom Superset config override will be (sample config file you can find in local_config/custom_superset_config.py)
After required packages are installed and environment is setup, you need to source env.sh and run init.sh, that should create your initial superset db with examples. You can edit this file to customize it.
Change to superset/assets directory and execute yarn and follow up by yarn build. You need to have yarn, node and webpack installed, more info in CONTRIBUTING.md.
Navigate to Superset root directory and execute: run.sh. You also may need Redis server run if you enable caching in Superset configuration.
Please refer to CONTRIBUTING.md for more detailed information how to configure and setup Superset for development.
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
[this project used to be named Caravel, and Panoramix in the past]
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Choose from a wide array of visualizations
Apache Superset is a data exploration and visualization web application.
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 acts 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
Superset speaks many SQL dialects through SQLAlchemy, a Python ORM that is compatible with most common databases.
Superset can be used to visualize data out of most databases:
- MySQL
- Postgres
- Vertica
- Oracle
- Microsoft SQL Server
- SQLite
- Greenplum
- Firebird
- MariaDB
- Sybase
- IBM DB2
- Exasol
- MonetDB
- Snowflake
- Redshift
- Clickhouse
- Apache Kylin
- more! look for the availability of a SQLAlchemy dialect for your database to find out whether it will work with Superset
On top of having the ability to query your relational databases, Superset ships with deep integration with Druid (a real time distributed column-store). When querying Druid, Superset can query humongous amounts of data on top of real time dataset. Note that Superset does not require Druid in any way to function, it's simply another database backend that it can query.
Here's a description of Druid from the http://druid.io website:
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.
- Mailing list
- Gitter (live chat) Channel
- Docker image (community contributed)
- Slides from Strata (March 2016)
- Stackoverflow tag
- Join our Slack
- DEPRECATED Google Group
Interested in contributing? Casual hacking? Check out Contributing.MD
Here's a list of organizations who have taken the time to send a PR to let the world know they are using Superset. Join our growing community!
- AiHello
- Airbnb
- Airboxlab
- Aktia Bank plc
- Amino
- Apollo GraphQL
- Ascendica Development
- Astronomer
- Brilliant.org
- Capital Service S.A.
- Clark.de
- CnOvit
- Digit Game Studios
- Douban
- Endress+Hauser
- FBK - ICT center
- Faasos
- GfK Data Lab
- Konfío
- Lime
- Lyft
- Maieutical Labs
- Myra Labs
- PeopleDoc
- Ona
- Pronto Tools
- Qunar
- ScopeAI
- Shopee
- Shopkick
- Showmax
- Tails.com
- THEICONIC
- Tobii
- Tooploox
- TrustMedis
- Udemy
- VIPKID
- Windsor.ai
- Yahoo!
- Zaihang
- Zalando
- Fordeal