{"id":13532111,"url":"https://github.com/napjon/krisk","last_synced_at":"2025-07-29T08:09:08.511Z","repository":{"id":62574662,"uuid":"62721351","full_name":"napjon/krisk","owner":"napjon","description":"Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.","archived":false,"fork":false,"pushed_at":"2022-01-20T17:23:04.000Z","size":1964,"stargazers_count":119,"open_issues_count":8,"forks_count":22,"subscribers_count":14,"default_branch":"master","last_synced_at":"2025-07-20T07:33:44.992Z","etag":null,"topics":["dashboard","data-science","data-visualization","echarts","interactive-charts","jupyter-notebook","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","readme":"[![CircleCI](https://circleci.com/gh/napjon/krisk.svg?style=shield)](https://circleci.com/gh/napjon/krisk) \n[![PyPI version](https://badge.fury.io/py/krisk.svg)](https://pypi.python.org/pypi/krisk/)\n[![Coverage Status](https://img.shields.io/codecov/c/github/napjon/krisk/master.svg)](https://codecov.io/gh/napjon/krisk)\n![svg](https://img.shields.io/github/license/napjon/krisk.svg)\n\n# Overview\n\nKrisk bring Echarts to Python Data Science Ecosystem, and helpful tools for high level statistical interactive visualization.\n\n\u003cimg src=\"https://cdn.rawgit.com/napjon/krisk/f933dbc1/readme.jpg\"\u003e\n\n# Dependencies\n\n* Python 3.5 (Python 2.7 should be supported, haven't test it yet)\n* Jupyter Notebook 4.2.x\n* Pandas 0.18.x\n* Echarts 3.2.1 (built-in)\n\n# Install\n```Python\npip install jupyter pandas krisk\njupyter nbextension install --py krisk --sys-prefix\njupyter nbextension enable  --py krisk --sys-prefix\n```\n\n\n# Tutorials\n\n* [Introduction](http://nbviewer.jupyter.org/github/napjon/krisk/blob/master/notebooks/Intro.ipynb)\n* [Themes and Colors](http://nbviewer.jupyter.org/github/napjon/krisk/blob/master/notebooks/themes-colors.ipynb)\n* [Legend, Title, and Toolbox](http://nbviewer.jupyter.org/github/napjon/krisk/blob/master/notebooks/legend-title-toolbox.ipynb)\n* [Resync Data and Reproducible Charts](http://nbviewer.jupyter.org/github/napjon/krisk/blob/master/notebooks/resync-reproducible.ipynb)\n* [Declarative Visualization](http://nbviewer.jupyter.org/github/napjon/krisk/blob/master/notebooks/declarative-visualization.ipynb)\n* [Waterfall and Barline Chart](http://nbviewer.jupyter.org/github/napjon/krisk/blob/master/notebooks/waterfall-barline.ipynb)\n* [Tidy Plot: Time Series and Other Custom Data Manipulation](http://nbviewer.jupyter.org/github/napjon/krisk/blob/master/notebooks/tidy-plot.ipynb)\n\n\n# What It Does\n\n* Chart Integration with Jupyter Notebook, widgets, and Dashboard.\n* Statistical interactive visualization\n* Ability backed by Echarts (Toolbox, Transition, Tooltip, etc.)\n\n# What It Doesn't Do\n\nKrisk won't implement all features of Echarts. For more advanced usage, Krisk users can use JSON `option` (or HTML) output produced by Krisk to optimize in Javascript. \n\nOnly basic charts are supported for explanation visualization.  The plan will support:\n\n* More complex line, bar, scatter, and histogram.\n* Geoscatter plot\n* Time Series\n\nOf course, contributions are welcome to support all chart types and advanced features.\n\n# Motivation for Another Visualization Library\n\nKrisk is targeted for building interactive dashboard application on top of two key components of Jupyter framework, [ipywidgets](https://ipywidgets.readthedocs.io/en/latest/) and [Jupyter Dashboard](https://github.com/jupyter-incubator/dashboards).\n\nKrisk is also act as tool to support reproducible chart by utilizing pandas DataFrame as data input.\n\n# How to Contribute\n\nTo contribute and unit tests your changes, please do the following, \n\n1. Fork this repository\n2. Clone this repo and do unit test,\n\n```\npip install coverage pytest\ngit clone https://github.com/your-username/krisk.git\ncd krisk\ncoverage run --source krisk -m py.test\n```\n\n\n\n# License\n\nNew BSD\n","funding_links":[],"categories":["Languages"],"sub_categories":["Python"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnapjon%2Fkrisk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnapjon%2Fkrisk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnapjon%2Fkrisk/lists"}