pandas-dev/pandas
First read
Visible and active, but adoption proof is still thinner
pandas-dev/pandas has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.
48.6K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Last commit Apr 29, 2026.
Fresh activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 48.6K stars
- 19.9K forks
- Last commit Apr 29, 2026
- Package usage not mapped yet
Compare lens
vinta/awesome-python and public-apis/public-apis are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.
Validation note
GitStar can summarize public signals for pandas-dev/pandas, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines 1.6k daily momentum and fresh update.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
vinta/awesome-python
Shares the libraries category footprint with pandas-dev/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.
public-apis/public-apis
Shares the data category footprint with pandas-dev/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.
n8n-io/n8n
Shares the data category footprint with pandas-dev/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.
avelino/awesome-go
Shares the libraries category footprint with pandas-dev/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.
Cross-links
GitStar picked awesome-python + public-apis as the closest next comparison from the related repository set.
Embed Badge
[](https://gitstar.space/repo/pandas-dev/pandas)<a href="https://gitstar.space/repo/pandas-dev/pandas"><img src="https://gitstar.space/api/badge/pandas-dev/pandas" alt="GitStar"></a>🔗 Wider nearby ecosystem
An opinionated list of Python frameworks, libraries, tools, and resources.
A collective list of free APIs
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A curated list of awesome Go frameworks, libraries and software
Crack LeetCode, not only how, but also why.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
Next step after the validation read
Learn and methodology
About This Page
This page provides a quick overview of pandas-dev/pandas based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
Want to show your project's ranking? Copy the badge embed code above and add it to your README.