Data analysis tool using Flask, WebSockets and d3.js.
Project description
Databench
Data analysis tool using Flask, WebSockets and d3.js. Live demos are at databench-examples.svenkreiss.com.
Documentation and License
Changelog
- 0.3.8 (2014-10-30)
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)
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