heyaygun/php-ml — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2017-10-25
Build a recommendation system for an e-commerce site directly in PHP.
Add spam detection for user-generated content without a separate Python service.
Segment customers for a SaaS product using clustering algorithms.
| heyaygun/php-ml | argosback/aura.sqlquery | argosback/jcgenealogy | |
|---|---|---|---|
| Language | PHP | PHP | PHP |
| Last pushed | 2017-10-25 | 2023-05-28 | 2018-02-01 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | developer | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
May be slower than specialized ML frameworks for very large datasets.
A machine learning toolkit built directly into PHP, letting you train and run prediction models like classification and clustering without leaving PHP.
Mainly PHP. The stack also includes PHP.
Dormant — no commits in 2+ years (last push 2017-10-25).
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Don't trust strangers blindly. Verify against the repo.