Open source alternatives to Tableau

2 projects on starwire do the same job. Ranked by how much of what Tableau does each one covers, read from its README and website. Ties go to the most active.

What Tableau does

  1. Interactive dashboardscore
  2. Drag and drop charts and visual analysiscore
  3. Connect to many data sourcescore
  4. Share and publish dashboards
  5. Calculated fields
  6. Maps and geographic charts
  7. Scheduled data refresh

Each dot in the table is one job, in this order. Square dots are core jobs and count double. Full means yes, half means partly. "See the evidence" under a project shows the line behind each one. Coverage is what a project documents, not how well it works or how hard it is to move to. How we score this

ProjectCoversStarsCommits, 12 weeksLast releaseClosed vs openedSetupLicense
supersetWeb app for exploring data and building dashboards and charts Replaces it80%76k+74
2,020
 6 months ago100% Needs a server Apache-2.0
Covers all 3 core jobs. Not shown: Share and publish dashboards; Scheduled data refresh.See the evidence
  • Interactive dashboardscoreYesCraft Beautiful, Dynamic Dashboards
  • Drag and drop charts and visual analysiscoreYesDrag and drop to create robust charts and tables
  • Connect to many data sourcescoreYesOut of the box support for **nearly any SQL** database
  • Share and publish dashboardsNot shownNeither the README nor the website mentions it.
  • Calculated fieldsYesquickly defining custom dimensions and metrics
  • Maps and geographic chartsYesgeospatial visualizations
  • Scheduled data refreshNot shownNeither the README nor the website mentions it.
pygwalkerTurns a pandas dataframe into an interactive UI for visual data analysis Same job, different way75%16k+4
1
 7 months agoToo few For developers Apache-2.0
Covers 2 of 3 core jobs. Partly: Interactive dashboards; Calculated fields. Not shown: Scheduled data refresh.See the evidence
  • Interactive dashboardscorePartlyturning your pandas dataframe into an interactive user interface
  • Drag and drop charts and visual analysiscoreYesDrag-and-drop interface for easy visualization creation.
  • Connect to many data sourcescoreYesconnect most common databases to PyGWalker
  • Share and publish dashboardsYesenables you to share your apps with one click
  • Calculated fieldsPartlyAbility to create new variables and features based on existing data.
  • Maps and geographic chartsYesCreate interactive maps instantly from your geographic data.
  • Scheduled data refreshNot shownNeither the README nor the website mentions it.

Vital signs from GitHub, checked weekly. How we read these · How setup is read

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