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Web server Tableau uses to run Python scripts.

Project description

TabPy (the Tableau Python Server) is an external service implementation which expands Tableau's capabilities by allowing users to execute Python scripts and saved functions via Tableau's table calculations.




  • TabPy is pip package now
  • Models are deployed with updated script



  • Added t-test model
  • Fixed models call with /evaluate for HTTPS
  • Migrated to Tornado 6
  • Timeout is configurable with TABPY_EVALUATE_TIMEOUT config file option



  • Scripts, documentation, and integration tests for models
  • Small bug fixes
  • Added request context logging as a feature controlled with TABPY_LOG_DETAILS configuration setting.
  • Updated documentation for /info method and v1 API.
  • Added integration tests.



  • Added basic access authentication (all methods except /info)
  • tabpy-tools can deploy models to TabPy with authentication on
  • Increased unit tests coverage
  • Travis CI for merge requests: unit tests executed, code style checking


Breaking changes

  • Logger configuration now is in TabPy config file.


  • Remove versioneer and just replace it with VERSION file
  • Require Python 3.6.5
  • Require jsonschema to be compatible with 2.3.0
  • Added setup instructions (known issues) for CentOS


  • Fixed dependency on tabpy-tools in startup scripts
  • Fixed Python version dependency in tabpy-server setup script


Breaking changes

  • The config file is now not just Python code but an actual config
  • Tornado config file has a different setting for CORS
  • Setup scripts are deleted - setup (if needed) happens with the startup script
  • tabpy-client is tabpy-tools now


  • Secure connection (HTTPS) is supported with Tableau 2019.2 and newer versions
  • Documentation is improved with more examples added
  • Versioning is done with Versioneer and github release tags
  • Improved logging
  • Unit tests are passing now
  • Configurations for Postman and Swagger are available to use those against running TabPy


  • Initial version

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