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Data sourced from GitHub API

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  3. quantopian
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Niche visibilityStale activityAdopted in packagesPartial snapshot

quantopian/pandas

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Oct 10, 2026

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Compare closest alternativesOpen GitHub

First read

Real package usage exists, but freshness needs a closer look

quantopian/pandas shows signs of reuse beyond stars, yet recent activity is softer. Read the repository as a potentially durable dependency, but verify maintenance rhythm before treating it as a default choice.

Visible

3 public stars in the current GitStar snapshot.

Needs a narrower context read

Active

Last commit Sep 26, 2019.

Stale activity

Adopted

pypi gives the strongest production-style signal.

7.6M/week

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 3 stars
  • 5 forks
  • Last commit Sep 26, 2019
  • pypi 7.6M/week

Compare lens

firecrawl/firecrawl and pandas-dev/pandas 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.

Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Sep 26, 2019

Package reality

GitStar found pypi:pandas. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.

Hype vs Reality
Hidden Gem
Package mapping
pypi · pandas
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for quantopian/pandas, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

PyPI: 7.6M/week
Package signal

Install & Package Signals

📐 How this feeds Hype vs Reality

GitStar uses the strongest linked package signal below when it reads Hype vs Reality for this repository.

Hidden Gem
Package adoption looks stronger than headline visibility alone suggests.
PyPI package

pandas

7.6M downloads/week
pip install pandas
Open pypi
🛡️ Editorial Context

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 package adoption.

Package adoption
📈 Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 3
30d ago7d ago1d agoNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars3
Weekly package downloads7.6M
🧭 Hype vs Reality
Hidden Gem

Package adoption looks stronger than headline visibility alone suggests.

The repo may matter more in real dependency graphs than its current star narrative implies, so compare it against louder peers before dismissing it.

Status
Hidden Gem
Package footprint
PyPI · 7.6M/week
Method note
Hidden Gem means the strongest package signal is healthy relative to the repo’s star base or recent momentum.
📐 Read the Hype vs Reality heuristic
Related alternative

firecrawl/firecrawl

Shares the libraries category footprint with quantopian/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

pandas-dev/pandas

Shares the libraries category footprint with quantopian/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

ccxt/ccxt

Shares the libraries category footprint with quantopian/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

ray-project/ray

Shares the libraries category footprint with quantopian/pandas, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked firecrawl + pandas as the closest next comparison from the related repository set.

Open compare presetCompare with firecrawlCompare with pandas
Repo utility

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GitHub Repositoryquantopian/pandasPyPI PackagepandasExport Ranking DataDownload CSV

Wider nearby ecosystem

Compare with firecrawlCompare with pandas
TypeScript
190K stars
firecrawl/firecrawl

Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥

Python
50K stars
pandas-dev/pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Python
44.3K stars
ccxt/ccxt

A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust

Python
44K stars
ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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43.1K stars
curl/curl

A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, MQTTS, POP3, POP3S, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features

C++
38.2K stars
huihut/interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesView the organizationRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of quantopian/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.

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