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Apache Superset is a Data Visualization and Data Exploration Platform
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raghavSharmaSigmoid 0a660a1a38
fix: Updated connection string for Firebolt (#17242) 
* New branch from superset for integration with firebolt sqlalchemy adapter

* Added db_engine_spec file for Firebolt

* Removed firebolt code from superset repo

* Deleted virtual env commit

* Adding time grain changes to firebolt.py

* Updated README.md

Added steps to install and run Superset with Firebolt SQLAlchemy Adapter

* Update README.md

Reduced installation steps. Using PyPi installation for adapter now

* Revert "Update README.md"

This reverts commit 5ed17c7a4545998ed07693c93738ebe7bff2580e.

* Revert "Updated README.md"

This reverts commit 45c5072649a7926fc4d15d2eb0b9cc5a89e5d7b2.

* added epoch methods, added test cases for firebolt db engine spec and edited setup.py

* Added license to files

* Added documentation for Firebolt-SQLAlchemy

* Removed trailing whitespace

* Updated connection string for Firebolt

Co-authored-by: apurva-sigmoid <89530372+apurva-sigmoid@users.noreply.github.com>
Co-authored-by: Apurva Anand <aapurva@sigmoidanalytics.com>
 		2021-10-29 20:13:17 +03:00
.github feat: Add prettier to pre-commit workflow (#17134) 2021-10-20 20:53:52 -04:00
RELEASING feat: upgrade docker image to py38 and add support for py39 (#16889) 2021-10-05 11:35:14 +03:00
RESOURCES docs: add Symmetrics to users list (#17028) 2021-10-19 21:03:31 +03:00
docker chore: Enforce Mypy for non-tests (#15757) 2021-07-22 06:46:43 +12:00
docs fix: Updated connection string for Firebolt (#17242) 2021-10-29 20:13:17 +03:00
helm/superset feat: add possibility to set ingress class name in Helm chart (#17252) 2021-10-28 15:11:10 +01:00
requirements chore: enable BQ tests (#17017) 2021-10-14 08:07:47 -07:00
scripts ci: check npm lockfile version (#16916) 2021-09-30 10:43:38 +02:00
superset Drop constraint (#17275) 2021-10-29 09:33:25 -07:00
superset-frontend fix(explore): Metrics disappearing after removing metric from dataset (#17201) 2021-10-29 16:15:19 +02:00
superset-websocket chore: upgrade to Node 16 (#16809) 2021-09-25 07:26:35 +02:00
tests fix(cli): fail CLI script on failed import/export (#16976) 2021-10-29 08:56:29 +01:00
.asf.yaml test: update required tests to python 3.8 (#16973) 2021-10-05 10:12:53 +03:00
.codecov.yml build: implement codecov carryforward flags (#13677) 2021-03-22 14:21:30 -07:00
.dockerignore feat: Containerize WebSocket server (#14514) 2021-05-10 09:28:50 -07:00
.editorconfig Adding editorconfig setting for IDE hints (#10855) 2020-09-14 08:19:23 -07:00
.flaskenv Flask App factory PR #1 (#8418) 2019-11-20 15:47:06 +00:00
.fossa.yml Update FOSSA configuration for new requirements layout (#10848) 2020-09-16 13:28:04 -07:00
.gitattributes fix: Normalise `*.sh` File Endings (#16608) 2021-09-13 16:25:15 -07:00
.gitignore feat: Setup `supersetText` configuration to overwrite errors (#14256) 2021-04-27 15:03:35 -04:00
.gitmodules ci: set remote URL to https and bump sha (#14350) 2021-04-26 17:43:32 +01:00
.pre-commit-config.yaml chore: use official isort in pre-commmit (#17215) 2021-10-25 17:57:38 +08:00
.pylintrc chore(pylint): Remove top-level disable (#16589) 2021-09-15 09:30:23 -07:00
.rat-excludes chore: pin node and npm versions (#11646) 2020-11-10 15:58:54 -08:00
CHANGELOG.md docs: update entries for v1.2 and v1.3 (#16496) 2021-08-30 13:58:08 +03:00
CODE_OF_CONDUCT.md chore: fixed slack invite link (#16466) 2021-08-26 09:04:51 -04:00
CONTRIBUTING.md docs: add vscode linter instructions to CONTRIBUTING.md (#17045) 2021-10-11 15:16:43 -07:00
Dockerfile feat: upgrade docker image to py38 and add support for py39 (#16889) 2021-10-05 11:35:14 +03:00
INSTALL.md Fix wrong filename mentioned in INSTALL.md (#14630) 2021-06-29 11:40:26 +03:00
LICENSE.txt chore: pre-commit run --all-files (#10500) 2020-08-02 14:32:17 -07:00
MANIFEST.in Update MANIFEST.in (#9261) 2020-03-25 22:00:41 -07:00
Makefile feat: upgrade docker image to py38 and add support for py39 (#16889) 2021-10-05 11:35:14 +03:00
NOTICE docs: remove (some) references to incubating/incubation (#12284) 2021-01-06 13:40:40 -08:00
README.md chore: Moves the images folder to the assets folder (#14429) 2021-09-22 10:28:51 -03:00
UPDATING.md chore: upgrade to Node 16 (#16809) 2021-09-25 07:26:35 +02:00
docker-compose-non-dev.yml fix(docker-compose): Make db service use correct env file (#15659) 2021-08-04 12:22:46 -06:00
docker-compose.yml chore: upgrade to Node 16 (#16809) 2021-09-25 07:26:35 +02:00
lintconf.yaml feat: publish superset helm chart (#14163) 2021-04-16 09:13:43 -07:00
pytest.ini feat: support nulls in the csv uploads (#10208) 2020-07-06 13:26:43 -07:00
setup.cfg chore: enable BQ tests (#17017) 2021-10-14 08:07:47 -07:00
setup.py Update setup.py (#17220) 2021-10-26 15:00:42 -04:00
tox.ini refactor(tests): decouple unittests from integration tests (#15473) 2021-07-01 18:03:07 +03:00

README.md

Superset

License GitHub release (latest SemVer) Build Status PyPI version Coverage Status PyPI Get on Slack Documentation Dependencies Status

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

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Slice & dice your data


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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:

redshift google-biquery snowflake trino presto druid postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres netezza

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

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