Need advice about which tool to choose?Ask the StackShare community!

requests

2K
34
+ 1
0
urllib3

579
5
+ 1
0
Add tool

requests vs urllib3: What are the differences?

requests: Python HTTP for Humans. Python HTTP for Humans; urllib3: HTTP library with thread-safe connection pooling. HTTP library with thread-safe connection pooling, file post, and more.

requests and urllib3 can be categorized as "PyPI Packages" tools.

requests and urllib3 are both open source tools. requests with 45.3K GitHub stars and 8.29K forks on GitHub appears to be more popular than urllib3 with 2.68K GitHub stars and 842 GitHub forks.

According to the StackShare community, requests has a broader approval, being mentioned in 217 company stacks & 90 developers stacks; compared to urllib3, which is listed in 95 company stacks and 28 developer stacks.

requests Stats
  • Dependent Packages Counts - 10.7K
urllib3 Stats
  • Dependent Packages Counts - 1.1K
requests Vulnerabilities
  • Insufficiently Protected Credentials in Requests
    High
  • Python Requests Session Fixation
    Moderate
  • Unintended leak of Proxy-Authorization header in requests
    Moderate
urllib3 Vulnerabilities
  • Exposure of Sensitive Information to an Unauthorized Actor in urllib3
    Critical
  • Catastrophic backtracking in URL authority parser when passed URL containing many @ characters
    High
  • Improper Certificate Validation in urllib3
    High
requests Release info
Latest version
2.31.0
Apache-2.0
urllib3 Release info
Latest version
2.2.1
MIT

What is requests?

Python HTTP for Humans.

What is urllib3?

HTTP library with thread-safe connection pooling, file post, and more.

Need advice about which tool to choose?Ask the StackShare community!

What companies use requests?
What companies use urllib3?
See which teams inside your own company are using requests or urllib3.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What are some alternatives to requests and urllib3?
numpy
NumPy is the fundamental package for array computing with Python.
six
Python 2 and 3 compatibility utilities.
pytest
Pytest: simple powerful testing with Python.
pandas
Powerful data structures for data analysis, time series, and statistics.
cloudflare
Python wrapper for the Cloudflare v4 API.
See all alternatives