Analysis updated 2026-08-03 · repo last pushed 2020-07-14
Study reference implementations of KMP and Aho-Corasick string matching algorithms.
Learn how pattern search algorithms work by reading the source code.
Practice implementing classic text search algorithms as a coding exercise.
| azl397985856/kmp-ac | 0xallam/posthog | 0xallam/search-engine | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | — | Python | C++ |
| Last pushed | 2020-07-14 | 2026-03-26 | 2023-08-23 |
| Maintenance | Dormant | Maintained | Dormant |
| Setup difficulty | easy | moderate | hard |
| Complexity | 1/5 | 3/5 | 3/5 |
| Audience | developer | pm founder | developer |
Figures from each repo's GitHub metadata at analysis time.
No documentation exists, you must read the source files directly to understand and use the code.
The repository named kmp-ac appears to be a personal, experimental project rather than a polished tool ready for everyday use. Based on its name, it likely involves implementing the Knuth-Morris-Pratt (KMP) string matching algorithm and the Aho-Corasick (AC) automaton. These are classic computer science methods used to find patterns in text, such as searching for specific words or multiple keywords within a large document simultaneously. At a high level, KMP is a technique for searching through text efficiently. Instead of starting over every time a match fails, it uses information about the pattern itself to skip ahead, making the search faster. The Aho-Corasick approach extends this idea to handle many patterns at once, which is useful for tasks like filtering banned words or scanning for multiple search terms in a single pass through a document. The project might be useful for someone learning about string matching algorithms or looking for reference implementations to study. A student working on a coding assignment, an engineer brushing up on fundamentals, or a curious developer exploring how text search works under the hood could find value here as a learning resource. However, the README is essentially empty, containing only the project title with no description, usage instructions, or examples. There is no documentation explaining what the code does, how to run it, or what language it is written in. This makes it difficult to determine the project's actual scope or whether it is intended for others to use at all. Anyone interested would need to explore the code files directly to understand what is there. In its current state, this looks like a scratchpad or personal practice repository rather than something designed for broader adoption.
A personal experimental project implementing classic string matching algorithms, Knuth-Morris-Pratt and Aho-Corasick, for searching patterns in text. It's a learning resource with no documentation or usage instructions.
Dormant — no commits in 2+ years (last push 2020-07-14).
No license information is provided in the repository, so the default terms of no permission to use apply.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.