lballabio/quantlib

The QuantLib C++ library

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Summary Information

Updated 12 minutes ago
Added to GitGenius on September 8th, 2026
Created on December 17th, 2015
Open Issues & Pull Requests: 45 (+0)
GitHub issues: Enabled
Number of forks: 2,321
Total Stargazers: 7,598 (+0)
Total Subscribers: 259 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.2 days
Mean response time: 76.6 days
90th percentile: 90.0 days
Tracked items: 214

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 85% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 5% of issues opened in the past year have been closed. Three people close 91% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 20
New in 7 days: 2
Closed in 7 days: 2
Avg open age: 1,042 days
Stale 30+ days: 13
Stale 90+ days: 8

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 3

Top labels

  • help wanted (46)
  • stale (23)
  • in progress (6)

Detailed Description

QuantLib is a C++ library for quantitative finance that provides a comprehensive software framework for modeling, trading, and risk management.

The library addresses the need for production-ready implementations of financial instruments, pricing models, and risk calculations. It offers a broad set of tools covering derivatives pricing, fixed income analysis, volatility modeling, and portfolio risk management. The approach centers on providing reusable, well-tested components that practitioners can integrate into trading systems, risk platforms, and analytical applications without building these complex models from scratch.

Developers should adopt QuantLib if they are building quantitative finance applications in C++ and need reliable implementations of standard financial models and calculations. The library suits projects ranging from small trading tools to large institutional risk systems. It is particularly valuable when time-to-market matters and when the cost of implementing and validating financial models internally would be prohibitive. The project is non-copylefted open-source software, meaning it can be used in both open and proprietary applications.

The project maintains active community engagement through a dedicated mailing list as the primary channel for user questions and discussion. Bug reports and contributions flow through GitHub issues and pull requests, with a documented contribution process. The library has a long history of releases with detailed changelogs available for each version, indicating sustained maintenance and evolution of the codebase over time.