# pySeqAlign

[DecompHub listing](<https://app.decomphub.com/projects/pyseqalign>) · [JSON record](<https://app.decomphub.com/data/projects/pyseqalign.json>)

## Description

> Pure\-Python sequence alignment \(Smith\-Waterman / Needleman\-Wunsch\) with Prolog\-style distance functions and ILP\-based rule learning \(Aleph, Popper\)\. Reimplementation of the original pyAligner from the ILP 2006 / ICDM 2008 publications\.

- Category: applications
- Work types: reimplementation
- Targets: pyAligner
- Project status: unknown
- Listing updated: 2026\-10\-11T00:03:42\.475Z
- Listing first published: 2026\-10\-11T00:03:42\.475Z

## Repository

- Repository: [athro/pyseqalign](<https://github.com/athro/pyseqalign>)
- License: MIT
- Repository stars: 0
- Stars checked: 2026\-10\-10T11:30:41\.924Z
- Repository metadata checked: 2026\-10\-10T11:30:41\.924Z

## Progress

Each value describes only its stated scope. An observation date is when DecompHub read the source; it is not a publisher measurement date.

No sourced numeric progress is currently reported. This is unknown progress, not 0%.

## Project details

- Languages: Prolog

## Contributing

- Contribution status: unknown
- Help requested: Not reported
- Contribution instructions: Not reported
- Contribution source: Not reported
- Contribution information checked: Not reported
- AI contribution policy: unspecified
- AI policy source: Not reported

## Listing sources

- [Public repository metadata](<https://github.com/athro/pyseqalign>)
- [Discovery query](<https://api.github.com/search/repositories?q=%22reimplementation%22+in%3Aname%2Cdescription+is%3Apublic+fork%3Afalse+created%3A2026-05-30..2026-07-22&sort=updated&order=desc&per_page=100&page=7>)

## Data notes

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Schema version: 1. [Public data documentation](<https://decomphub.com/data>).