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refactor: consolidate thin subcategories and split Data Analysis by domain

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- Merge URL Manipulation (single entry) into HTTP Clients
- Move python-slugify into General Text Processing, removing the one-entry Slugify subcategory
- Consolidate YAML, TOML, and CSV subcategories into a single Data Formats group
- Split Data Analysis into General and Financial Data subcategories to improve discoverability

Co-Authored-By: Claude <noreply@anthropic.com>
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Vinta Chen
2026-03-21 14:52:23 +08:00
parent 1fa8847631
commit 0c4d411ae8
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@@ -32,7 +32,6 @@ An opinionated list of awesome Python frameworks, libraries, tools, software and
- [HTTP Clients](#http-clients)
- [Web Scraping](#web-scraping)
- [URL Manipulation](#url-manipulation)
- [Email](#email)
**Database & Storage**
@@ -351,6 +350,7 @@ _Static site generator is a software that takes some text + templates as input a
_Libraries for working with HTTP._
- [aiohttp](https://github.com/aio-libs/aiohttp) - Asynchronous HTTP client/server framework for asyncio and Python.
- [furl](https://github.com/gruns/furl) - A small Python library that makes parsing and manipulating URLs easy.
- [httpx](https://github.com/encode/httpx) - A next generation HTTP client for Python.
- [requests](https://github.com/psf/requests) - HTTP Requests for Humans.
- [treq](https://github.com/twisted/treq) - Python requests like API built on top of Twisted's HTTP client.
@@ -375,12 +375,6 @@ _Libraries to automate web scraping and extract web content._
- [toapi](https://github.com/gaojiuli/toapi) - Every web site provides APIs.
- [trafilatura](https://github.com/adbar/trafilatura) - A tool for gathering text and metadata from the web, with built-in content filtering.
## URL Manipulation
_Libraries for parsing URLs._
- [furl](https://github.com/gruns/furl) - A small Python library that makes parsing and manipulating URLs easy.
## Email
_Libraries for sending and parsing email._
@@ -482,19 +476,21 @@ _Libraries for serializing complex data types._
_Libraries for data analysis._
- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
- [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
- [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
- [ibis](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
- [modin](https://github.com/modin-project/modin) - A drop-in pandas replacement that scales workflows by changing a single line of code.
- [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
- [pandas](https://github.com/pandas-dev/pandas) - A library providing high-performance, easy-to-use data structures and data analysis tools.
- [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows.
- [akshare](https://github.com/jindaxiang/akshare) - A financial data interface library, built for human beings!
- [edgartools](https://github.com/dgunning/edgartools) - Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
- [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
- [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
- [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
- General
- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
- [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
- [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
- [ibis](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
- [modin](https://github.com/modin-project/modin) - A drop-in pandas replacement that scales workflows by changing a single line of code.
- [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
- [pandas](https://github.com/pandas-dev/pandas) - A library providing high-performance, easy-to-use data structures and data analysis tools.
- [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows.
- [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
- Financial Data
- [akshare](https://github.com/jindaxiang/akshare) - A financial data interface library, built for human beings!
- [edgartools](https://github.com/dgunning/edgartools) - Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
- [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
- [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
## Data Validation
@@ -914,10 +910,9 @@ _Libraries for parsing and manipulating plain texts._
- [pangu.py](https://github.com/vinta/pangu.py) - Paranoid text spacing.
- [pyfiglet](https://github.com/pwaller/pyfiglet) - An implementation of figlet written in Python.
- [pypinyin](https://github.com/mozillazg/python-pinyin) - Convert Chinese hanzi (漢字) to pinyin (拼音).
- [python-slugify](https://github.com/un33k/python-slugify) - A Python slugify library that translates unicode to ASCII.
- [textdistance](https://github.com/orsinium/textdistance) - Compute distance between sequences with 30+ algorithms.
- [unidecode](https://github.com/avian2/unidecode) - ASCII transliterations of Unicode text.
- Slugify
- [python-slugify](https://github.com/un33k/python-slugify) - A Python slugify library that translates unicode to ASCII.
- Unique identifiers
- [hashids](https://github.com/davidaurelio/hashids-python) - Implementation of [hashids](http://hashids.org) in Python.
- [shortuuid](https://github.com/skorokithakis/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
@@ -973,12 +968,10 @@ _Libraries for parsing and manipulating specific text formats._
- [markdown](https://github.com/waylan/Python-Markdown) - A Python implementation of John Gruber’s Markdown.
- [markitdown](https://github.com/microsoft/markitdown) - Python tool for converting files and office documents to Markdown.
- [mistune](https://github.com/lepture/mistune) - Fastest and full featured pure Python parsers of Markdown.
- YAML
- [pyyaml](https://github.com/yaml/pyyaml) - YAML implementations for Python.
- TOML
- [tomllib](https://docs.python.org/3/library/tomllib.html) - (Python standard library) Parse TOML files.
- CSV
- Data Formats
- [csvkit](https://github.com/wireservice/csvkit) - Utilities for converting to and working with CSV.
- [pyyaml](https://github.com/yaml/pyyaml) - YAML implementations for Python.
- [tomllib](https://docs.python.org/3/library/tomllib.html) - (Python standard library) Parse TOML files.
## File Manipulation