Databench

Data analysis tool using Flask, WebSockets and d3.js. Live demos are at databench-examples.svenkreiss.com.

Documentation and License

Tutorial, user guide and API documentation.

Databench was written by Sven Kreiss and made available under the MIT license.

Changelog

• master

• 0.3.9 (2014-10-30)

  • fix analyses/static search path
  • fix included font-awesome

• 0.3.7 (2014-10-24)

  • improved scaffold with more comments
  • alternative frontends: apart from index.html, now you can also create anything.html and it will be rendered
  • frontend options: connect to a non-standard backend location
  • fix for Windows compatibility
  • wider zeromq compatibility (not using unbind() anymore)
  • CircleCI tests now running
  • docs updated with new features

• 0.3.6 (2014-10-20)

  • add section on making a plot with d3.js to tutorial
  • improve doc section on frontend
  • add more comments to scaffold

• 0.3.4 (2014-10-17)

  • added a tutorial to the docs
  • added comments and explanation to scaffold analysis
  • friendlier logo

• 0.3.3 (2014-10-01)

  • clean up of Python source distribution
  • customizable header
  • serve static files at analyses/static/ under analyses_static/

• 0.3.0 (2014-09-20)

  • include_md() macro for frontend to include Markdown files
  • python 2.6 support (in addition to 2.7)
  • new tool scaffold-databench
  • moved from socket.io to plain websockets
  • one analysis instance per websocket connection
  • restructured analyses directories
  • signals are executed in separate co-routines
  • interface to other backends using zmq
  • frontend: genericElements take string ids instead of jquery selectors
  • frontend: Databench() does not require a name anymore
  • frontend: genericElements: added button() and slider()
  • backend handles action : an action is the co-routine that is launched with a signal. An action can have an id in which case it signals start and end (used to indicate state for genericElements.button()).

• 0.2.15 (2014-09-06)