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AutoViML avatar

AutoViML/AutoViz

0
View on GitHub↗
1,903 星标·214 分支·Python·Apache-2.0·2 次浏览

AutoViz

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

Features

  • Automated EDA and Visualization - Automatic data visualization in one line of code.
  • Data Visualization - Automated data visualization for machine learning.

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AutoViz 的开源替代方案

相似的开源项目,按与 AutoViz 的功能重合度排序。
  • kanaries/pygwalkerKanaries 的头像

    Kanaries/pygwalker

    15,628在 GitHub 上查看↗

    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
    在 GitHub 上查看↗15,628
  • fbdesignpro/sweetvizfbdesignpro 的头像

    fbdesignpro/sweetviz

    3,108在 GitHub 上查看↗

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

    Python
    在 GitHub 上查看↗3,108
  • adamerose/pandasguiadamerose 的头像

    adamerose/pandasgui

    3,259在 GitHub 上查看↗

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

    Python
    在 GitHub 上查看↗3,259
  • lux-org/luxlux-org 的头像

    lux-org/lux

    5,380在 GitHub 上查看↗

    Lux is an automated exploratory data analysis tool designed to generate intelligent visual representations of pandas dataframes. It identifies patterns and trends by recommending optimal chart types and axis mappings based on the statistical attributes of a dataset. The tool functions as an interactive data profiling layer that allows users to browse and query collections of charts using filters and wildcards. It also serves as a visualization code generator, translating automatically produced charts into programmatic code or HTML for manual refinement in external libraries. The system cover

    Python
    在 GitHub 上查看↗5,380
查看 AutoViz 的所有 30 个替代方案→

常见问题解答

autoviml/autoviz 是做什么的?

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

autoviml/autoviz 的主要功能有哪些?

autoviml/autoviz 的主要功能包括:Automated EDA and Visualization, Data Visualization。

autoviml/autoviz 有哪些开源替代品?

autoviml/autoviz 的开源替代品包括: man-group/dtale — dtale is a web-based interactive grid and visualizer for pandas dataframes, designed as an exploratory data analysis… 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. lux-org/lux — Lux is an automated exploratory data analysis tool designed to generate intelligent visual representations of pandas… fbdesignpro/sweetviz — Visualize and compare datasets, target values and associations, with one line of code. posit-dev/great-tables — Absolutely Delightful Table-making in Python.