{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/5"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/12"},{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/6"}],"enrichment":{"capability":"Python bindings for Vectorscan (an open-source fork of Intel's Hyperscan), a high-performance library for matching multiple regex patterns simultaneously against text.","skillfed_tags":["regex-engine","performance-critical"],"use_cases":["Intrusion detection or network traffic analysis where you need to match many malicious patterns against packet payloads in real time.","Log aggregation or security event filtering, scanning incoming logs against a large set of rules or signatures.","Content scanning or data loss prevention, checking documents or data streams against many forbidden patterns simultaneously.","Regex-based data extraction or validation at scale, where you need to test many patterns against large text corpora efficiently."],"what_it_does":"Hyperscan is a CPython extension that wraps Vectorscan, Intel's high-performance regex engine designed to match many patterns at once. Unlike Python's built-in `re` module, which compiles and tests patterns sequentially, Hyperscan compiles multiple patterns into a single state machine and scans text in a single pass, making it much faster for workloads that need to test dozens or hundreds of patterns simultaneously. The package ships with pre-built wheels that include Vectorscan statically linked, so you don't need to install system libraries separately.\n\nThe library exposes most of Vectorscan's C API, including Chimera support for advanced matching modes. It supports Python 3.8 through 3.14 on macOS, Linux, and Windows. The main limitations are lack of stream compression and custom allocator support, and a few specialized C functions not yet exposed to Python.","worth_installing":"Yes, if you need to match many regex patterns against text and performance is a concern. The pre-built wheels make installation straightforward on common platforms. The MIT license and active maintenance are favorable. Install it only if your workload genuinely requires bulk pattern matching; for single-pattern or simple regex tasks, Python's built-in `re` module is sufficient and simpler."},"id":"hyperscan","links":{"html":"https://skillfed.io/packages/hyperscan","md":"https://skillfed.io/packages/hyperscan.md","pypi":"https://pypi.org/project/hyperscan/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-19","license_spdx":null,"license_treatment":"permissive","name":"hyperscan","python_support":"supports_current","summary":"Python bindings for Hyperscan."},"popularity":{"monthly_downloads":425769,"position":6757,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.8.2"}