* [pycurl](https://github.com/pycurl/pycurl) - network library (binding to [libcurl](http://curl.haxx.se/libcurl/))
* [urllib3](https://github.com/shazow/urllib3) - Python HTTP library with thread-safe connection pooling, file post support, sanity friendly, and more.
* [httplib2](https://github.com/httplib2/httplib2) - Small, fast HTTP client library. Features persistent connections, cache, and Google App Engine support.
* [Unirest for Python](https://github.com/Mashape/unirest-python) - Unirest is a set of lightweight HTTP libraries available in multiple languages
* [hyper](https://github.com/Lukasa/hyper) - HTTP/2 Client for Python
* [PySocks](https://github.com/Anorov/PySocks) - Updated and actively maintained version of SocksiPy, with bug fixes and extra features. Acts as a drop-in replacement to the socket module.
### Network : Asynchronous
* [treq](https://github.com/dreid/treq) - requests like API (twisted based)
* [aiohttp](https://github.com/KeepSafe/aiohttp) - http client/server for asyncio (PEP-3156)
### Network : Low Level
* [dpkt](https://github.com/kbandla/dpkt) - fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols
* [pyOpenSSL](https://github.com/pyca/pyopenssl) - A Python wrapper around the OpenSSL library
* [tlslite-ng](https://github.com/tomato42/tlslite-ng) - TLS implementation in pure python
* [portia](https://github.com/scrapinghub/portia) - Visual scraping for Scrapy.
* [restkit](https://github.com/benoitc/restkit) - HTTP resource kit for Python. It allows you to easily access to HTTP resource and build objects around it.
* [requests-html](https://github.com/kennethreitz/requests-html) - Pythonic HTML Parsing for Humans.
* [ScrapydWeb](https://github.com/my8100/scrapydweb) - A full-featured web UI for Scrapyd cluster management, which supports Scrapy Log Analysis & Visualization, Auto Packaging, Timer Tasks, Email Notice and so on.
* [pyquery](http://pythonhosted.org//pyquery/) - working with DOM tree with jQuery-like selectors
* [BeautifulSoup](http://www.crummy.com/software/BeautifulSoup/bs4/doc/) - slow HTML/XMl processing library, written in pure python
* [html5lib](http://html5lib.readthedocs.org/en/latest/) - builds DOM of HTML/XML document according to [WHATWG spec](url=http://www.whatwg.org/). That spec is used in all modern browsers.
* [feedparser](http://pythonhosted.org/feedparser/) - parsing of RSS/ATOM feeds.
* [MarkupSafe](https://github.com/mitsuhiko/markupsafe) - Implements a XML/HTML/XHTML Markup safe string for Python.
* [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON.
* [xhtml2pdf](https://github.com/chrisglass/xhtml2pdf) - HTML/CSS to PDF converter.
* [untangle](https://github.com/stchris/untangle) - Converts XML documents to Python objects for easy access.
* [hodor](https://github.com/CompileInc/hodor) - Configuration driven wrapper around lxml and cssselect.
* [chopper](https://github.com/jurismarches/chopper) - Tool to extract a part from HTML page with corresponding CSS rules and preserving correct HTML.
* [selectolax](https://github.com/rushter/selectolax) - Python bindings to Modest engine (fast HTML5 parser with CSS selectors).
* [tablib](https://github.com/kennethreitz/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML.
* [textract](https://github.com/deanmalmgren/textract) - Extract text from any document, Word, PowerPoint, PDFs, etc.
* [messytables](https://github.com/okfn/messytables) - Tools for parsing messy tabular data
* [rows](https://github.com/turicas/rows) - A common, beautiful interface to tabular data, no matter the format (currently CSV, HTML, XLS, TXT -- more coming!)
* [python-docx](https://github.com/python-openxml/python-docx) - Reads, queries and modifies Microsoft Word 2007/2008 docx files.
* [xlwt](https://github.com/python-excel/xlwt) / [xlrd](https://github.com/python-excel/xlrd) - Writing and reading data and formatting information from Excel files.
* [XlsxWriter](https://xlsxwriter.readthedocs.org/) - A Python module for creating Excel .xlsx files.
* [xlwings](http://xlwings.org/) - A BSD-licensed library that makes it easy to call Python from Excel and vice versa.
* [openpyxl](https://openpyxl.readthedocs.org/en/latest/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
* [Marmir](https://github.com/brianray/mm) - Takes Python data structures and turns them into spreadsheets.
* [psd-tools](https://github.com/kmike/psd-tools) - reading Adobe Photoshop PSD files (as described in [specification](https://www.adobe.com/devnet-apps/photoshop/fileformatashtml/PhotoshopFileFormats.htm)) to Python data structures.
* [Pattern](http://www.clips.ua.ac.be/pattern) - A web mining module for the Python. It has tools for natural language processing, machine learning, among others.
* [TextBlob](http://textblob.readthedocs.org/) - Providing a consistent API for diving into common NLP tasks. Stands on the giant shoulders of NLTK and Pattern.
* [jieba](https://github.com/fxsjy/jieba) - Chinese Words Segmentation Utilities.
* [SnowNLP](https://github.com/isnowfy/snownlp) - A library for processing Chinese text.
* [loso](https://github.com/victorlin/loso) - Another Chinese segmentation library.
* [genius](https://github.com/duanhongyi/genius) - A Chinese segment base on Conditional Random Field.
* [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system.
* [Korean](https://korean.readthedocs.org/) - A library for [Korean](http://en.wikipedia.org/wiki/Korean_language) morphology.
* [PyPLN](https://github.com/NAMD/pypln.backend) - A distributed pipeline for natural language processing, made in Python. he goal of the project is to create an easy way to use NLTK for processing big corpora, with a Web interface.
* [threading](http://docs.python.org/3/library/threading.html) - standard python library to run threads. Effective for I/O-bound tasks. Useless for CPU-bound tasks because of python GIL.
* [multiprocessing](http://docs.python.org/3/library/multiprocessing.html) - standard python library to run processes.
* [concurrent-futures](https://docs.python.org/3/library/concurrent.futures.html) - The concurrent.futures module provides a high-level interface for asynchronously executing callables.
Libraries for parsing/modifying URLs and network addresses.
### URL and Network Address : URL
* [furl](https://github.com/gruns/furl) - A small Python library that makes manipulating URLs simple.
* [purl](https://github.com/codeinthehole/purl) - A simple, immutable URL class with a clean API for interrogation and manipulation.
* [urllib.parse](https://docs.python.org/3/library/urllib.parse.html) - interface to break Uniform Resource Locator (URL) strings up in components (addressing scheme, network location, path etc.), to combine the components back into a URL string, and to convert a “relative URL” to an absolute URL given a “base URL.” (stdlib)
* [tldextract](https://github.com/john-kurkowski/tldextract) - Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List.
### URL and Network Address : Network Address
* [netaddr](https://github.com/drkjam/netaddr) - A Python library for representing and manipulating network addresses.
* [micawber](https://github.com/coleifer/micawber) - A small library for extracting rich content from URLs.
## Web Content Extraction
Libraries for extracting web contents.
* [newspaper](https://github.com/codelucas/newspaper) - News extraction, article extraction and content curation in Python.
* [python-goose](https://github.com/grangier/python-goose) - HTML Content/Article Extractor.
* [scrapely](https://github.com/scrapy/scrapely) - Library for extracting structured data from HTML pages. Given some example web pages and the data to be extracted, scrapely constructs a parser for all similar pages.
* [htmldate](https://github.com/adbar/htmldate) - Find creation date using common structural patterns or text-based heuristics.
* [lassie](https://github.com/michaelhelmick/lassie) - Web Content Retrieval for Humans.
* [html2text](https://github.com/Alir3z4/html2text) - Convert HTML to Markdown-formatted text.
* [libextract](https://github.com/datalib/libextract) - Extract data from websites.
* [python-readability](https://github.com/buriy/python-readability) - Fast Python port of arc90's readability tool.
* [sumy](https://github.com/miso-belica/sumy) - A module for automatic summarization of text documents and HTML pages.
* [Haul](https://github.com/vinta/Haul) - An Extensible Image Crawler.
* [you-get](http://www.soimort.org/you-get/) - A YouTube/Youku/Niconico video downloader written in Python 3.
* [youtube-dl](http://rg3.github.io/youtube-dl/) - A small command-line program to download videos from YouTube.
* [WikiTeam](https://github.com/WikiTeam/wikiteam) - Tools for downloading and preserving wikis.
* [linkchecker](https://github.com/wummel/linkchecker) - check links in web documents or full websites
* [python-sitemap](https://github.com/c4software/python-sitemap) - Mini website crawler to make sitemap from a website.
* [Crossbar](https://github.com/crossbario/crossbar/) - Open-source Unified Application Router (Websocket & WAMP for Python on Autobahn).
* [AutobahnPython](https://github.com/tavendo/AutobahnPython) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html).
* [WebSocket-for-Python](https://github.com/Lawouach/WebSocket-for-Python) - WebSocket client and server library for Python 2 and 3 as well as PyPy.
* [dnsyo](https://github.com/samarudge/dnsyo) - Check your DNS against over 1500 global DNS servers.
* [pycares](https://github.com/saghul/pycares) - interface to c-ares. c-ares is a C library that performs DNS requests and name resolutions asynchronously
* [OpenCV](https://github.com/Itseez/opencv) - Open Source Computer Vision Library.
* [SimpleCV](https://github.com/sightmachine/SimpleCV) - Concise, readable interface for cameras, image manipulation, feature extraction, and format conversion (based on OpenCV).
* [mahotas](https://github.com/luispedro/mahotas) - fast computer vision algorithms (all implemented in C++) operating over numpy arrays.
* [shadowsocks](https://github.com/shadowsocks/shadowsocks) - A fast tunnel proxy that helps you bypass firewalls (TCP & UDP support, User management API, TCP Fast Open, Workers and graceful restart, Destination IP blacklist)
* [tproxy](https://github.com/benoitc/tproxy) - tproxy is a simple TCP routing proxy (layer 7) built on Gevent that lets you configure the routine logic in Python
* [twitter-scraper](https://github.com/bisguzar/twitter-scraper) - Scrape the Twitter Frontend API without authentication
* [Ultimate-Facebook-Scraper](https://github.com/harismuneer/Ultimate-Facebook-Scraper) - A bot which scrapes almost everything about a Facebook user's profile
* [instagram-scraper](https://github.com/rarcega/instagram-scraper) - Scrapes an instagram user's photos and videos
