Vectorscan
Vectorscan is a fork of Intel's Hyperscan designed to enhance multi-platform support. It aims to maintain compatibility with the last open-source version of Hyperscan while introducing its own improvements and simplifications. The project remains open-source under a BSD license, making it relevant for the FLOSS ecosystem.
- ▪Vectorscan is a high-performance regex matching library that supports multiple architectures.
- ▪The project was created after the rejection of relevant Pull Requests to merge ARM porting into Intel's Hyperscan.
- ▪Vectorscan will not aim for compatibility with later versions of Hyperscan that have closed-source licensing.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/Vectorcamp/vectorscan |
| Publication time | Sat, 30 May 2026 16:08:15 +0000 |
| Retrieval time | 2026-05-30T16:29:38.850Z |
| Last seen | 2026-05-30T16:29:38.850Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
About Vectorscan A fork of Intel's Hyperscan, modified to run on more platforms. Currently ARM NEON/ASIMD and Power VSX are 100% functional. ARM SVE2 support is in ongoing with access to hardware now. More platforms will follow in the future. Further more, starting 5.4.12 there is now a SIMDe port, which can be either used for platforms without official SIMD support, as SIMDe can emulate SIMD instructions, or as an alternative backend for existing architectures, for reference and comparison purposes. Vectorscan will follow Intel's API and internal algorithms where possible, but will not hesitate to make code changes where it is thought of giving better performance or better portability.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.