PyPI Stats
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About
Home

Search Packages

Find Python packages by name, description, GitHub topic, or filter by metrics
catboost
catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

6.4M 9K 1K
skforecast
skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

103K 1K 187
catboost
catboost-dev

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

47K 9K 1K
mljar
mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

10K 3K 432
erdogant
hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

3K 67 18
burning-cost
insurance-causal

Causal inference for insurance pricing: double machine learning, price elasticity, heterogeneous treatment effects, and post-hoc rate change evaluation for UK personal lines.

1K 0 0
Priboy313
pandasflow

A set of custom python modules for friendly workflow on pandas

1K 1 0
burning-cost
insurance-quantile

Actuarial tail risk quantile/expectile regression for insurance pricing - TVaR, large loss loading, ILF curves, CatBoost

976 1 0
burning-cost
insurance-severity

Insurance severity modelling: composite models, DRN, EVT, MDN, SPQRx, tail scoring, CMRS allocation, Projection-to-Ultimate, and AIPW IBNR reserving

926 0 0
34j
sklearn-utilities

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand

779 3 1
AdrianAntico
retrofit

Simple, opinionated machine learning workflows for rapid iteration.

778 26 7
DataCanvasIO
hypergbm

A full pipeline AutoML tool for tabular data

763 363 48
34j
boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

724 10 0
burning-cost
insurance-distributional

Distributional GBM for insurance pricing — Tweedie, ZIP, Gamma, Negative Binomial with CatBoost

677 0 0
burning-cost
shap-relativities

Extract multiplicative rating relativities from GBM models using SHAP values. Built for insurance pricing.

653 0 0
burning-cost
insurance-demand

Deprecated — use insurance-optimise instead

611 0 0
kossisoroyce
timber-compiler

Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.

591 676 20
HunterMcGushion
hyperparameter-hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

551 708 99
burning-cost
insurance-cv

Temporal and distributional cross-validation, and feature screening, for insurance pricing models

539 0 0
owenodriscoll
py-automl-lib

Python package for automated hyperparameter-optimization of common machine-learning algorithms

536 5 1
burning-cost
insurance-distill

GBM-to-GLM distillation for insurance pricing - surrogate factor tables for Radar/Emblem rating engines

418 0 0
TsLu1s
tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

405 30 1
burning-cost
insurance-deploy

Champion/challenger pricing framework for UK insurance — model registry, quote routing, ENBP audit logging, and statistical promotion tests

388 0 0
burning-cost
insurance-trend

Loss cost trend analysis for UK personal lines insurance pricing

363 0 0
    • Data from PyPI, GitHub, ClickHouse, and BigQuery