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Visualizations for High Dimensional Data","homepage":"https://github.com/zfrenchee/Axial#readme","keywords":["visualization"],"repository":{"type":"git","url":"git+https://github.com/zfrenchee/Axial.git"},"author":{"name":"Alex LeNail","email":"alex@lenail.org"},"bugs":{"url":"https://github.com/zfrenchee/Axial/issues"},"license":"MIT","readme":"# Axial\n\n#### Interactive Visualizations for High Dimensional Genomics Data\n\n[Homepage](http://alexlenail.me/Axial/)\n\nAxial is a data visualization library.\n\nUnlike other data visualization libraries, Axial returns interactive html instead of png or svg.\nMany of the figure configuration parameters can be dynamically set in the browser.\nThis makes it easier to explore one's dataset with low friction.\n\nAxial was built with high dimensional genomics data in mind, but can readily be adapted to other data types which can suitably be visualized by one of the visualization types Axial provides.\n\nAxial plots can be generated via python (see the [Python Docs](http://alexlenail.me/Axial/html/index.html)). Support for R is coming.\n\n### Python\n\n- Installation\n\n    ```\n    pip install axial\n    ```\n- [Documentation](http://alexlenail.me/Axial/html/index.html)\n\n### R\n\nIn progress.\n\n\n### JavaScript (development)\n\nSee the [javascript docs]().\n","readmeFilename":"README.md"}