requests VS scikit-learn

Compare requests vs scikit-learn and see what are their differences.

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requests scikit-learn
33 24
46,488 48,081
0.4% 0.7%
7.3 9.9
about 13 hours ago 5 days ago
Python Python
Apache License 2.0 OSI Approved
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.

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 2021-11-28.

scikit-learn

Posts with mentions or reviews of scikit-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-13.

What are some alternatives?

When comparing requests and scikit-learn you can also consider the following projects:

urllib3 - Python HTTP library with thread-safe connection pooling, file post support, user friendly, and more.

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.

Keras - Deep Learning for humans

grequests - Requests + Gevent = <3

Surprise - A Python scikit for building and analyzing recommender systems

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

tensorflow - An Open Source Machine Learning Framework for Everyone

gensim - Topic Modelling for Humans

PyBrain

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

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

MLflow - Open source platform for the machine learning lifecycle