wilsonfreitas/awesome-quant

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

wilsonfreitas/awesome-quant has 30k+ stars and 4k+ forks on GitHub, is written in HTML, and was last pushed on Oct 17, 2026. Data as of Oct 17, 11:18 UTC. Signed-in members get hourly updates — create a free account.

Summary Information

Updated 46 minutes ago

Type:Curated List / Learning ResourceCategory(s):Fintech & Quant Trading Science & Industry

Added to GitGenius on September 1st, 2026

Created on September 30th, 2015

Open Issues & Pull Requests: 184 (+0)

GitHub issues: Enabled

Number of forks: 4,186

Total Stargazers: 30,165 (+0)

Total Subscribers: 679 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 85.5 days

Mean response time: 320.2 days

90th percentile: 958.9 days

Tracked items: 41

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Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Open issues: 6

New in 7 days: 0

Closed in 7 days: 0

Avg open age: 234 days

Stale 30+ days: 4

Stale 90+ days: 0

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Closed in 7 days: 0

Comments in 7 days: 0

Events in 7 days: 0

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Detailed Description

awesome-quant is a curated list of libraries, packages, and resources for quantitative finance development.

The project addresses the challenge of discovering tools and resources scattered across the quantitative finance ecosystem. Rather than building software itself, it aggregates existing solutions—libraries for algorithmic trading, financial data access, technical analysis, and trading strategy implementation—organizing them into a browsable reference that developers can search through to find relevant tools for their specific needs.

Developers building quantitative trading systems, backtesting frameworks, or financial analysis tools should use this list when evaluating which libraries to integrate into their projects. It suits anyone entering quantitative finance who needs an overview of available packages, as well as experienced practitioners looking for specialized tools they may have missed. The list covers a broad range of concerns including data sources, trading engines, strategy frameworks, and analysis utilities, making it useful whether you are building a complete trading system or adding a single capability to an existing one.

The project maintains an organized, categorized structure that evolves as new tools emerge in the quantitative finance space. Contributions are accepted to keep the list current with the ecosystem's development. The resource is presented as a static HTML site alongside the repository itself, making it accessible both as a browsable reference and as a version-controlled collection that can be forked and customized for specific use cases.