OpenRefine是一款免费的开源强大工具,用于处理混乱的数据并对其进行改进
data-wrangling 开源项目推荐(1,608 个)
data-wrangling 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,608 个仓库Unified querying, transformation, and modification of JSON, TOML, YAML, XML, INI, HCL, KDL and CSV.
DS/ML面试准备的备忘单、书籍、问题和作品集集
飞速的数据整理工具包
Carefully curated resource links for data science in one place
Zui is a powerful desktop application for exploring and working with data. The official front-end to the Zed lake.
用于获得对多维数据的几何见解的Python工具箱
Machine learning with dataframes
🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
通过数据科学进行统计推断:ModernDive 深入 R 与 Tidyverse
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.
Materials for following along with Hands-On Data Analysis with Pandas.
Data Analysis and Visualization in R for Ecologists
Pacote que trata e organiza os dados do Cadastro Nacional da Pessoa Jurídica (CNPJ)
类似 awk,但支持 SQL 和表连接
Tools for test driven data-wrangling and data validation.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/data-wrangling。
- 该话题在 GitHub 上共有 1,608 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4.5 万 Star,覆盖 11 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。