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  3. wilsonfreitas
  4. awesome-quant
HTMLVisible projectFresh activityNo linked package signalPartial snapshot

wilsonfreitas/awesome-quant

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Aug 15, 2026

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Compare closest alternativesOpen GitHub

First read

Visible and active, but adoption proof is still thinner

wilsonfreitas/awesome-quant 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.

Visible

28.8K public stars in the current GitStar snapshot.

Recognizable in the ecosystem

Active

Last commit Aug 15, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

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

Partial snapshot

Snapshot facts

  • 28.8K stars
  • 3.8K forks
  • Last commit Aug 15, 2026
  • Package usage not mapped yet

Compare lens

akfamily/akshare and bharathgs/Awesome-pytorch-list 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
Aug 15, 2026

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.

No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

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

algorithmic-trading-enginealgorithmic-trading-libraryalgotradingarbitrage-botawesomeawesome-listfinancefinance-apifinancial-datafinancial-instrumentsgoogle-financequantquantitative-financequantitative-tradingstock-datatechnical-analysistrading-algorithmstrading-bottrading-strategiesyahoo-finance
🎓The Professor🌙Nightshift Coder
🛡️ 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 fresh update and stable visibility.

Fresh updateStable visibility
📈 Momentum & Adoption Signals
Approximate star trajectory

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

Now: 28.8K
30d ago7d ago1d agoNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars28.8K
🧭 Hype vs Reality
Insufficient Package Data

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.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other HTML repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

akfamily/akshare

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

CompareOpen detail
Related alternative

bharathgs/Awesome-pytorch-list

Shares the awesome-lists category footprint with wilsonfreitas/awesome-quant, 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 wilsonfreitas/awesome-quant, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

lukasmasuch/best-of-ml-python

Shares the awesome-lists category footprint with wilsonfreitas/awesome-quant, 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 akshare + Awesome-pytorch-list as the closest next comparison from the related repository set.

Open compare presetCompare with akshareCompare with Awesome-pytorch-list
Repo utility

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Wider nearby ecosystem

Compare with akshareCompare with Awesome-pytorch-list
Python
22K stars
akfamily/akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Unknown
16.6K stars
bharathgs/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Python
43.6K stars
ccxt/ccxt

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

Unknown
23.7K stars
lukasmasuch/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Go
6K stars
MontFerret/ferret

Declarative data automation language and Go runtime for structured extraction workflows.

Go
181.1K stars
avelino/awesome-go

A curated list of awesome Go frameworks, libraries and software

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 alternativesRead 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 wilsonfreitas/awesome-quant 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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