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posit-dev/great-tables

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posit-dev.github.io/great-tables↗

Great Tables

Absolutely Delightful Table-making in Python

Features

  • Automated EDA and Visualization - Create display tables using Python.

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  • Data Visualization - Generating high-quality, display-ready tabular data.
    • 2,691 stars·127 forks·Python·MIT·21 views

    Star history

    Star history chart for posit-dev/great-tablesStar history chart for posit-dev/great-tables

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with Great Tables

    These projects share indexed features with Great Tables. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • fbdesignpro/sweetvizfbdesignpro avatar

      fbdesignpro/sweetviz

      3,108View on GitHub↗

      Visualize and compare datasets, target values and associations, with one line of code.

      Python
      View on GitHub↗3,108
    • autoviml/autovizAutoViML avatar

      AutoViML/AutoViz

      1,903View on GitHub↗

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

      Python
      View on GitHub↗1,903
    • adamerose/pandasguiadamerose avatar

      adamerose/pandasgui

      3,259View on GitHub↗

      About - Demo - Installation - Usage - Features - More Info

      Python
      View on GitHub↗3,259
    • kanaries/pygwalkerKanaries avatar

      Kanaries/pygwalker

      15,628View on GitHub↗

      Pygwalker is a library that transforms tabular data into interactive, drag-and-drop interfaces for exploratory analysis and visualization. It functions as a grammar-based framework that translates user interactions into declarative chart definitions, allowing for the creation of dynamic data exploration environments directly within notebooks or embedded web applications. The system distinguishes itself by offloading heavy analytical computations to backend kernels, which maintains responsiveness when visualizing large datasets. It supports the serialization of visual states into portable conf

      Pythondata-analysisdata-explorationdataframe
      View on GitHub↗15,628
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    Frequently asked questions

    What does posit-dev/great-tables do?

    Absolutely Delightful Table-making in Python

    What are the main features of posit-dev/great-tables?

    The main features of posit-dev/great-tables are: Automated EDA and Visualization, Data Visualization.

    Which projects share features with posit-dev/great-tables?

    Projects with overlapping indexed features include: lux-org/lux — Lux is an automated exploratory data analysis tool designed to generate intelligent visual representations of pandas… kanaries/pygwalker — Pygwalker is a library that transforms tabular data into interactive, drag-and-drop interfaces for exploratory… adamerose/pandasgui — About - Demo - Installation - Usage - Features - More Info. autoviml/autoviz — Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators… fbdesignpro/sweetviz — Visualize and compare datasets, target values and associations, with one line of code. man-group/dtale — dtale is a web-based interactive grid and visualizer for pandas dataframes, designed as an exploratory data analysis…