OpenModels is a flexible and extensible library for serializing and deserializing machine learning models. It's designed to support any serialization format through a plugin-based architecture, providing a safe and transparent solution for exporting and sharing predictive models.
active 2025-10-31 → 2026-07-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 246 days from 2025-10-31 to 2026-07-03. Pushes: 16 total, peak 3 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 6 total, peak 2 in a day. Comments: 7 total, peak 4 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Recent activity
Latest issues, pull requests and releases
- Issue comment#39Gnpd2026-03-15 21:29Explore Automatic Documentation Generation
- Issue comment#39paucablop2026-03-15 06:24Explore Automatic Documentation Generation
- Issue#36Gnpd2025-11-14 05:48Proposal: Add `save` and `load` Methods to `SerializationManager`
- Pull request#51Gnpd2025-11-11 12:07
- Issue#50Gnpd2025-11-06 21:22Feature: Add Support for `LocalOutlierFactor` in Sklearn Serializer
- Issue#50Gnpd2025-11-06 21:22Feature: Add Support for `LocalOutlierFactor` in Sklearn Serializer
- Issue#47Gnpd2025-11-01 16:09Feature: Optionally Include Training Data in SklearnSerializer Output
- Issue#47Gnpd2025-11-01 16:06Feature: Optionally Include Training Data in SklearnSerializer Output
- Issue#4Gnpd2025-10-31 13:13Install and configure Code Coverage tool
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.