Name | Version | Summary | date |
MORPHO-toolkit |
0.1.4.dev0 |
The MORPHO data-science toolkit. |
2025-04-20 21:58:25 |
upgini |
1.2.80 |
Intelligent data search & enrichment for Machine Learning |
2025-04-19 14:46:03 |
polars_ethan |
0.2.1 |
Fast Polars functions that Ethan likes to use. |
2025-03-21 17:39:50 |
dataclr |
0.3.0 |
A Python library for feature selection in tabular datasets |
2025-03-05 22:08:39 |
GJDutils |
0.3.9 |
A collection of useful utility functions (basics, data science/AI, web development, etc) |
2025-02-21 12:11:31 |
statshelp |
0.0.2 |
Library to help Data Science students |
2025-02-21 07:56:08 |
pytimetk |
1.2.0 |
The time series toolkit for Python. |
2025-02-20 14:43:57 |
PyEDCR |
1.1.3 |
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization |
2025-02-19 06:34:54 |
scitbx |
0.0.85 |
For academic data processing and plotting etc. |
2025-02-18 12:57:14 |
scikit-learn-intelex |
2025.2.0 |
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application. |
2025-02-18 08:57:25 |
kedro-mlflow |
0.14.3 |
A kedro-plugin to use mlflow in your kedro projects |
2025-02-17 22:30:54 |
astromodule |
0.10.0 |
Astronomy Tools |
2025-02-17 04:57:42 |
oracle-ads |
2.13.0 |
Oracle Accelerated Data Science SDK |
2025-02-14 22:52:01 |
rushdb |
0.3.0 |
RushDB Python SDK |
2025-02-14 18:33:39 |
sqlalchemy_exasol |
5.1.0 |
EXASOL dialect for SQLAlchemy |
2025-02-14 15:47:46 |
albumentations |
2.0.4 |
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks) data, with optimized performance and seamless integration into ML workflows. |
2025-02-11 21:50:46 |
daindex |
0.6.4 |
Deterioration Allocation Index Framework |
2025-02-09 11:15:26 |
augini |
0.3.3 |
AI-powered Python framework for tabular data enrichment and analysis using LLMs. Features include intelligent feature engineering, natural language data analysis, and AI agents for automated workflows. |
2025-02-08 17:08:01 |
graphbook |
0.11.1 |
The AI-driven data pipeline and workflow framework for data scientists and machine learning engineers. |
2025-02-07 23:54:31 |
cardtale |
0.1.2 |
Data, Model, and Algorithm Cards for Time Series |
2025-02-05 11:09:01 |