#66 · Primary category: Business Intelligence & Analytics

AutoViz

auto-sklearn automated-machine-learning automl automl-algorithms machine-learning python python3 scikit-learn tableau tpot visualization xgboost

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Project last updated:06/10/24

GitHub Stars

1.9K

Forks

214

Contributors

17

License

Apache-2.0

Why we included this project

AutoViz is the tool to reach for when you would rather spend your time interpreting data than hand-coding charts. One function call generates a whole spread of exploratory plots, from distributions and correlations to pairwise relationships, and it handles tables that range from a handful of rows to hundreds of gigabytes. Since it picks appropriate chart types for each column on its own, it works best as a quick first pass over unfamiliar data, not a replacement for careful custom visualizations. The companion FixDQ() function flags missing and duplicate values before you move on to feature work, which can save real time in a modeling pipeline. Analysts and data scientists doing fast feasibility checks on new CSV or database tables are the clearest audience, especially if they want one consistent API instead of assembling several plotting libraries.

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