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# HiPlot - High dimensional Interactive Plotting [](https://circleci.com/gh/facebookresearch/hiplot/tree/master)  [](https://opensource.org/licenses/MIT) [](https://pypi.python.org/pypi/hiplot/) [](https://pypi.python.org/pypi/hiplot/) [](https://facebookresearch.github.io/hiplot/index.html) [](https://colab.research.google.com/github/facebookresearch/hiplot/blob/master/examples/HiPlotColabExample.ipynb) HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data using parallel plots and other graphical ways to represent information. ### [Try a demo now with sweep data](https://facebookresearch.github.io/hiplot/_static/demo/ml1.csv.html) or [upload your CSV](https://facebookresearch.github.io/hiplot/_static/hiplot_upload.html) or [](https://colab.research.google.com/github/facebookresearch/hiplot/blob/master/examples/HiPlotColabExample.ipynb) There are several modes to HiPlot: - As a web-server (if your data is a CSV for instance) - In a jupyter notebook (to visualize python data), or in [Streamlit apps](https://facebookresearch.github.io/hiplot/tuto_streamlit.html) - In CLI to render standalone HTML ```bash pip install -U hiplot # Or for conda users: conda install -c conda-forge hiplot ``` If you have a jupyter notebook, you can get started with something as simple as: ```python import hiplot as hip data = [{'dropout':0.1, 'lr': 0.001, 'loss': 10.0, 'optimizer': 'SGD'}, {'dropout':0.15, 'lr': 0.01, 'loss': 3.5, 'optimizer': 'Adam'}, {'dropout':0.3, 'lr': 0.1, 'loss': 4.5, 'optimizer': 'Adam'}] hip.Experiment.from_iterable(data).display() ``` ### [See the live result](https://facebookresearch.github.io/hiplot/_static/demo/demo_basic_usage.html)  ## Links * Blog post: https://ai.facebook.com/blog/hiplot-high-dimensional-interactive-plots-made-easy/ * Documentation: https://facebookresearch.github.io/hiplot/index.html * Pypi package: https://pypi.org/project/hiplot/ * Conda package: https://anaconda.org/conda-forge/hiplot * NPM package: https://www.npmjs.com/package/hiplot * Examples: https://github.com/facebookresearch/hiplot/tree/master/examples ## Citing ```bibtex @misc{hiplot, author = {Haziza, D. and Rapin, J. and Synnaeve, G.}, title = {{Hiplot, interactive high-dimensionality plots}}, year = {2020}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/facebookresearch/hiplot}}, } ``` ## Credits Inspired by and based on code from [Kai Chang](http://bl.ocks.org/syntagmatic/3150059), [Mike Bostock](http://bl.ocks.org/1341021) and [Jason Davies](http://bl.ocks.org/1341281). External contributors (*please add your name when you submit your first pull request*): - [louismartin](https://github.com/louismartin) - [GoldenCorgi](https://github.com/GoldenCorgi) - [callistachang](https://github.com/callistachang) ## License HiPlot is [MIT](LICENSE) licensed, as found in the [LICENSE](LICENSE) file.