scikit-learn VS Scrapy

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


scikit-learn: machine learning in Python (by scikit-learn)


Scrapy, a fast high-level web crawling & scraping framework for Python. (by scrapy)
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scikit-learn Scrapy
24 60
48,081 42,197
1.6% 1.2%
9.9 9.2
about 7 hours ago 3 days ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
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.


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.


Posts with mentions or reviews of Scrapy. 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 Scrapy you can also consider the following projects:

requests-html - Pythonic HTML Parsing for Humans™

Keras - Deep Learning for humans

pyspider - A Powerful Spider(Web Crawler) System in Python.

Surprise - A Python scikit for building and analyzing recommender systems

MechanicalSoup - A Python library for automating interaction with websites.

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



Grab - Web Scraping Framework

portia - Visual scraping for Scrapy