Hyperscan is a high-performance regular expression matching library that enables simultaneous matching of large numbers of regex patterns against data streams.
The library solves the problem of efficiently matching many regular expressions at once, which is computationally expensive with traditional regex engines. Hyperscan uses hybrid automata techniques to handle this workload, allowing it to match tens of thousands of patterns simultaneously. It follows the regular expression syntax of libpcre but operates as a standalone library with its own C API, making it compatible with existing regex knowledge while offering superior performance for bulk matching scenarios.
Hyperscan is typically deployed in deep packet inspection library stacks, making it well-suited for network security, threat detection, and content filtering applications where multiple pattern matching against streaming data is required. Organizations that need to evaluate large volumes of data against extensive pattern sets will benefit most from its design. The tool is appropriate for projects where regex matching performance is a bottleneck and where matching many patterns simultaneously is a core requirement.
The project maintains a clear separation between stable and development work, with the master branch holding only tested releases suitable for production use while active development proceeds on a separate develop branch. The team operates a public mailing list for community questions and discussion, accepts bug reports through both email and GitHub issues, and provides a direct contact channel for inquiries that should not be posted publicly. The project includes comprehensive developer documentation covering both library building and API usage.
