Name | Version | Summary | date |
frameon |
0.1.0a1 |
Frameon extends pandas DataFrame with analysis methods while keeping all original functionality intact. |
2025-07-27 11:38:10 |
mlarena |
0.3.11 |
An algorithm-agnostic machine learning toolkit for model training, diagnostics and optimization |
2025-07-27 09:15:03 |
skfolio |
0.11.0 |
Portfolio optimization built on top of scikit-learn |
2025-07-26 20:36:29 |
mlfcrafter |
0.1.1 |
ML Pipeline Automation Framework - Chain together data processing, model training, and deployment with minimal code |
2025-07-26 10:48:34 |
lancedb |
0.24.2 |
lancedb |
2025-07-25 21:04:40 |
pg-helpers |
1.3.1 |
PostgreSQL helper functions for data analysis with enterprise-grade security |
2025-07-25 16:09:24 |
theforecastingcompany |
0.1.2 |
The official Python library for The Forecasting Company API |
2025-07-24 15:39:24 |
pixeltable |
0.4.6 |
AI Data Infrastructure: Declarative, Multimodal, and Incremental |
2025-07-24 14:34:00 |
treemind |
0.2.0 |
feature and feature interaction analyzer for gradient boosting |
2025-07-23 18:36:52 |
superduper-qdrant |
0.9.5 |
SuperDuper Lance is a Python library that provides a high-level API for working with Lance vector search database. |
2025-07-23 16:35:28 |
mlrun |
1.9.2 |
Tracking and config of machine learning runs |
2025-07-23 07:04:41 |
subgroups |
0.1.11 |
subgroups is a python library which contains a collection of subgroup discovery algorithms and other data analysis utilities. |
2025-07-22 15:50:11 |
automl-lite |
0.1.1 |
A simplified automated machine learning package for non-experts |
2025-07-22 07:43:56 |
bitchute-scraper |
1.0.0 |
A modern, API-based package to scrape BitChute platform data. |
2025-07-20 09:08:17 |
whyqd |
1.2.1 |
data wrangling simplicity, complete audit transparency, and at speed |
2025-07-19 10:46:30 |
sktime |
0.38.4 |
A unified framework for machine learning with time series |
2025-07-17 16:24:39 |
bioat |
0.15.9 |
bioat, a python package & command line toolkit for Bioinformatics and data science! |
2025-07-17 14:49:41 |
superduper-vllm |
0.9.0 |
Superduper allows users to work with self-hosted LLM models via [vLLM](https://github.com/vllm-project/vllm). |
2025-07-16 18:58:37 |
superduper-transformers |
0.9.0 |
Transformers is a popular AI framework, and we have incorporated native support for Transformers to provide essential Large Language Model (LLM) capabilities. |
2025-07-16 18:58:23 |
superduper-sentence-transformers |
0.9.0 |
superduper allows users to work with self-hosted embedding models via [Sentence-Transformers](https://sbert.net). |
2025-07-16 18:58:13 |