mosh3eb/TrainKeeper

TrainKeeper is a minimal-decision, high-signal toolkit for building reproducible, debuggable, and efficient ML training systems. It adds guardrails inside training loops without replacing your existing stack.

19
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

Apache-2.0

Category

ml-experiment-tracking

Last pushed

Feb 18, 2026

Commits (30d)

0

GitHub
ML Experiment Tracking · 102 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mosh3eb/TrainKeeper"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

treeverse/dvc

🦉 Data Versioning and ML Experiments

85

runpod/runpod-python

🐍 | Python library for RunPod API and serverless worker SDK.

79

uber/petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning...

67

carsdotcom/skelebot

Machine Learning Project Development Tool

65

microsoft/vscode-jupyter

VS Code Jupyter extension

64

Explore ML Frameworks

All categories Trending ML Framework directory Insights