Python GitHub Rankings
Discover open-source projects by popularity, activity and growth.
Repositories created in the past 30 days, ranked by total Stars.
About this python ranking
Python is used for data analysis, machine learning, web services and automation. GitHub classifies repositories by their primary language, so Python bindings inside a mainly C++ project may not appear here.
Weekly and monthly growth compare total Stars on two UTC observation dates exactly 7 or 30 days apart. We match repositories by GitHub ID across the projects tracked in our category datasets. Projects without a matching baseline are excluded; counts can decrease when users unstar. This is a ranking within our observed cohort, not an exhaustive GitHub growth ranking.
Most stars and Most forks use cumulative counts. Recently updated preserves GitHub's update search order. New & popular filters repositories created in the previous 30 days; Active & popular filters code pushes in the previous 7 days. Both popularity views sort by total Stars. Help wanted preserves GitHub's help-wanted issue-count order, rather than sorting by all open issues. The displayed Updated date comes from repository metadata; Code pushed is a separate timestamp.
Each search collects up to 100 public repositories with at least 100 Stars, excluding forks and archived projects. Language lists use GitHub's primary-language classification; topic lists use maintainer-assigned tags. Updates are scheduled daily, and failed updates preserve the previous observation. GitHub search limits and indexing delays can affect coverage.
This is independent of GitHub Trending. Stars and Forks indicate interest, not a guarantee of quality or active maintenance. No paid placement changes the ordering. Explore individual growth curves with Star History.
Source: GitHub Search Repositories API · Public repositories · No paid ranking
