scikit-learn VS requests

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

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scikit-learn requests
24 32
48,081 46,445
1.6% 0.7%
9.9 7.3
about 7 hours ago 4 days ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

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.

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 2021-11-17.

What are some alternatives?

When comparing scikit-learn and requests 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