code VS requests

Compare code vs requests and see what are their differences.

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code requests
3 87
2,007 51,359
3.1% 0.5%
2.2 8.4
about 2 months ago 5 days ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

code

Posts with mentions or reviews of code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-23.

requests

Posts with mentions or reviews of requests. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-02.

What are some alternatives?

When comparing code and requests you can also consider the following projects:

pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python

urllib3 - urllib3 is a user-friendly HTTP client library for Python

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

httplib2 - Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.

scikit-learn - scikit-learn: machine learning in Python

grequests - Requests + Gevent = <3

dnxfirewall - DNXFIREWALL™ and DAD'S NEXT-GEN FIREWALL™, a C/CPython hybrid next generation firewall built on top of Linux and bound to kernel/ netfilter hooks for packet control.

AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python

wily - A Python application for tracking, reporting on timing and complexity in Python code

treq - Python requests like API built on top of Twisted's HTTP client.

production-tools - A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.

Uplink - A Declarative HTTP Client for Python