技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: csv-reader

英文目录

✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.

44K
Stars
86/100
信任
分类: data-analysis审计

A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux, Android, iOS and Web

27K
Stars
86/100
信任
分类: document-processing审计

An ebook reader application supporting PDF, DjVu, EPUB, FB2 and many more formats, running on Cervantes, Kindle, Kobo, PocketBook and Android devices

27K
Stars
86/100
信任
分类: document-processing审计

Readest is a modern, feature-rich ebook reader designed for avid readers offering seamless cross-platform access, powerful tools, and an intuitive interface to elevate your reading experience.

22K
Stars
86/100
信任
分类: document-processing审计

SumatraPDF reader

17K
Stars
81/100
信任
分类: document-processing审计
Yq83

yq is a portable command-line YAML, JSON, XML, CSV, TOML, HCL and properties processor

16K
Stars
83/100
信任
分类: devops审计

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

6.4K
Stars
85/100
信任
分类: web-automation审计

Full featured CSV parser with simple api and tested against large datasets.

4.3K
Stars
77/100
信任
分类: data-analysis审计

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

9.9K
Stars
75/100
信任
分类: data-analysis审计

🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, SQLSERVER, MONGODB, SQLITE, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, timezones (for countries), and more. #countries #states #cities

9.6K
Stars
84/100
信任
分类: data-analysis审计

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

34K
Stars
75/100
信任
分类: Finance审计

World countries in JSON, YAML, CSV and XML. Any help is welcome!

6.2K
Stars
80/100
信任
分类: data-analysis审计