An stand alone, light-weight web server for building, sharing graphs in created in ipython. Let ipython do what it focus, let this do what everyone needs for building a interactive, collaborated and real-time streaming dashboards.
Project description
*Inspired by `IPython <http://ipython.org/>`__, built with love*
IPython-Dashboard
A stand alone, light-weight web server for building, sharing graphs created in IPython. Build for data science, data analysis guys. Building an interactive visualization, collaborated dashboard, and real-time streaming graph.
Requirements
redis 2.6+, install guide
pip install -r requirements.txt
Goal
support raw html visualization
support python object visualization
Editable
Real-time fresh when rendering a variable python object
Can be shared, both public and private [ need password ]
In the notebook, can share an object to a dashboard [ that’s visualize that object in that dashboard ]
Use Case
if you do exploring in notebook, but just want to share/send the result/summary to people, leave out the details.
if you have a private notebook, but also need share something in that notebook with people, extract and put into another new notebook is ugly.
if you are totally disappointed with the complicated code when drawing a graceful/staic graph using matplotlib/seaborn/mpld3 etc.
if you want an interactive graph, allow people to zoom in/out, resize, get hover tips, change graph type easily.
if you want a real-time graph.
if you want an collaborated graph/dashboard.
wise-choice
Screenshot and Demo
screenshot
screenshot
screenshot
Usage
*IPython-Dashboard-Tutorial.ipynb*: On nbviewer or On github
Run tests
just run sudo nosetests --with-coverage --cover-package=dashboard under this repo
chenshan@mac007:~/Desktop/github/IPython-Dashboard$sudo nosetests --with-coverage --cover-package=dashboard Password: ... Name Stmts Miss Cover Missing --------------------------------------------------------------------- dashboard.py 11 0 100% dashboard/client.py 1 0 100% dashboard/client/sender.py 11 3 73% 26-27, 33 dashboard/config.py 13 0 100% dashboard/server.py 1 0 100% dashboard/server/resources.py 0 0 100% dashboard/server/resources/dash.py 31 17 45% 36, 55-56, 67-79, 92-99 dashboard/server/resources/home.py 40 12 70% 25, 28-30, 82-90 dashboard/server/resources/status.py 8 1 88% 19 dashboard/server/resources/storage.py 15 7 53% 26-28, 43-47 dashboard/server/utils.py 31 6 81% 18-22, 29, 43 dashboard/server/views.py 12 0 100% --------------------------------------------------------------------- TOTAL 174 46 74% ---------------------------------------------------------------------- Ran 3 tests in 1.235s OK
Change Log
future
import dashboard to ipython notebook, one click [ though I don’t think it’s necessary]
front side, databricks style
pep 8, code clean up & restructure
hover tips
edit modal can be resized
Share one graph
Share one dashboard
Presentation mode
footer
readthedoc
unified message display center
SQL Editor
login management
unified logger and exception report
*V 0.1.4 : basic-curd-docs : [ current develop version ]*
Dashboard
create some examples
hover tips
unified message display
SQL Editor
start try using ace to build an online sql editor, but will develop it in the next stage after this version
*V 0.1.3 : basic-curd-docs : [ current stable release ]*
Dashboard
restructure code for future develop
more docs and tutorial
basic curd operations
gh-pages done
publish on readthedoc
V 0.1.2 : visualiza-table
slogan: *Inspired by IPython, built with love*
Dashboard
document and doc string
usage
simple visualize table data
SQL Editor
research & preparation
V 0.1.1 : dashboard-server : [ current stable release ]
Dashboard
dashboard home page
sort by dashboard name / creator / last update time
dashboard page
add graph in a dashboard
re-arrange graph
resize graph
get table view in a graph
SQL Editor
V 0.1 : dashboard-template
Add dashboard client template
Template consists of box, each box is an independent front-side object
Template hierarchy:
box page [add, delete, share one or all]
box graph [add, delete, share one or all]
rename
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