Overfitting Python Packages

omega-lock

Catch overfitting before you ship it: a walk-forward / held-out gate for any optimizer (Optuna, sweeps, prompt search). The highest score isn't deployable until it survives data it never saw. CLI + Python.

omegaprompt

The overfit gate for your prompts: re-test the winning prompt on held-out examples it never tuned on, and block the ship if it doesn't generalize. Sits on top of promptfoo/DSPy. CLI + MCP + CI.

ml4t-diagnostic

Signal diagnostics, statistical validation, and backtest evaluation for quantitative trading workflows.

quantros

策略实盘就绪度证伪器——五门判决,回测能不能实盘,先过五门

spatial-kfold

spatial resampling for more robust cross validation in spatial studies

oos-lab

Research-grade validation toolkit for systematic trading strategies

lambda-guard-boosting

Overfitting detection for Gradient Boosting — no validation set required

sklearn-diagnose

🔍 AI-powered diagnosis for Scikit-learn models: Detect overfitting, data leakage, class imbalance & more with LLM-generated insights

sk-autod

Auto-diagnosis for training curves

gbtm-tpom

spatial resampling for more robust cross validation in spatial studies