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Monthly ranking table shows outdated data for September 2025

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#50 0 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
35/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
github, python
Domain
data

Research direction

Start by inspecting the README “Most Stars” table and tracing the auto-update script and data feed mentioned in the issue. Compare the Python row with current GitHub statistics, then rerun or verify the update process so the table contains fresh counts matching the stated update time.

Written by the indexing model from the issue text.

Description

Description: In the “Most Stars” section of the README, the table lists ranking data with “Last Automatic Update Time: 2025‑11‑06T04:07:07Z”. However the row for one of the languages (e.g., Python) shows stale values that appear not to have updated counts in the last 2 months.

Steps to reproduce:

Open the README of the repository.

Scroll to the “Most Stars” table.

Compare the star/fork counts of the “Python” entry with current GitHub stats for that language.

Expected behaviour: The table should show the most recent commit/tally values as of the update time (2025‑11‑06).

Actual behaviour: The table appears to show older values which don’t correspond to the current GitHub language rankings.

Suggested fix: Consider re‑running the auto‑update script and verifying the data feed to ensure fresh statistics are reflected.

Thanks for maintaining this ranking repository — it’s a great resource!

Environment: Repository: EvanLi/Github‑Ranking
Commit count: 2,620 (as of time of writing)
GitHu

Dominant language
Python
Stars
12.2k
Forks
704
PR merge metrics
No merged PRs in 30d

Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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