bshoshany/thread-pool

BS::thread_pool: a fast, lightweight, modern, and easy-to-use C++17 / C++20 / C++23 thread pool library

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bshoshany/thread-pool has 3k+ stars and 300+ forks on GitHub, is written in C++, and was last pushed on Jan 4, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 39 minutes ago
Added to GitGenius on September 22nd, 2026
Created on January 15th, 2021
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 333
Total Stargazers: 3,072 (+0)
Total Subscribers: 42 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.5 hours
Mean response time: 12.7 hours
90th percentile: 16.3 hours
Tracked items: 20

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

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

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  • enhancement (10)
  • bug (6)

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Detailed Description

BS::thread_pool is a C++17 / C++20 / C++23 thread pool library that provides fast, lightweight task scheduling and parallel execution.

The library solves the problem of managing concurrent work across multiple threads without requiring developers to handle low-level threading primitives directly. It provides a thread pool that accepts tasks and distributes them across worker threads, allowing applications to parallelize computations efficiently. The approach centers on ease of use while maintaining high performance for scientific computing and general-purpose parallel workloads.

Developers should choose this library if they need straightforward task-based parallelism in modern C++ projects. It suits applications ranging from scientific computing to general multithreading scenarios where spawning individual threads would be inefficient or cumbersome. The library's design emphasizes simplicity, making it accessible to developers who want parallelism without wrestling with complex concurrency abstractions.

The project shows consistent maintenance with regular updates and refinements to the codebase. Development activity demonstrates attention to code quality and compatibility across multiple C++ standards. The maintainer actively addresses the library's evolution to support newer language features while preserving backward compatibility with earlier standards.