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| author | nodiscc <nodiscc@gmail.com> | 2020-10-08 16:49:27 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-10-08 16:49:27 +0000 |
| commit | 32e8c60806016ef7135476d6ff30cf0a18fe5e3e (patch) | |
| tree | 21316a29365da30fdd44a9a0753880da9c04c719 | |
| parent | Merge pull request #2258 from jtagcat/block5 (diff) | |
| parent | Merge branch 'master' into block6 (diff) | |
| download | awesome-selfhosted-32e8c60806016ef7135476d6ff30cf0a18fe5e3e.tar.gz awesome-selfhosted-32e8c60806016ef7135476d6ff30cf0a18fe5e3e.zip | |
Merge pull request #2259 from jtagcat/block6
awesome-analytics-merge: block 6
Diffstat (limited to '')
| -rw-r--r-- | README.md | 6 |
1 files changed, 0 insertions, 6 deletions
@@ -109,12 +109,6 @@ For personal analytics/dashboards, see [Personal Dashboards](#personal-dashboard For everything else, see [awesome-analytics](https://github.com/onurakpolat/awesome-analytics) -_Business Intelligence_ - -- [Chartbrew](https://chartbrew.com) - Open platform with which you can visualise your product's data. It connects to your DBs (MySQL, PostgreSQL, MongoDB) and APIs directly and you can get the data using the built-in query builders. ([Demo](https://chartbrew.com/b/Chartbrew86), [Source Code](https://github.com/chartbrew/chartbrew)) `MIT` `NodeJS` -- [Metabase](http://www.metabase.com/) - Simple Dashboarding and GUI Query tool, Nightly Emails and Slack Integration w/ PostgreSQL, MySQL, Redshift and other DBs. ([Source Code](https://github.com/metabase/metabase)) `AGPL-3.0` `Java` -- [Redash](http://redash.io) - connect to over 18 types of databases (SQL and "NoSQL"), query your data, visualize it and create dashboards. Everything has a URL that can be shared. Slack and HipChat integration. ([Demo](https://demo.redash.io), [Source Code](https://github.com/getredash/redash)) `BSD-2-Clause` `Python` -- [Superset](http://superset.apache.org/) - Modern, enterprise-ready business intelligence web application. ([Source Code](https://github.com/apache/incubator-superset)) `Apache-2.0` `Python` ## Archiving and Digital Preservation (DP) |