| Name | Version | Summary | date |
| gradio |
5.38.2 |
Python library for easily interacting with trained machine learning models |
2025-07-24 21:50:19 |
| fairscape-cli |
1.1.5 |
A utility for packaging objects and validating metadata for FAIRSCAPE |
2025-07-24 18:15:06 |
| pyfonts |
1.1.1 |
A simple and reproducible way of using fonts in matplotlib |
2025-07-19 08:05:54 |
| yanex |
0.4.0 |
Yet Another Experiment Tracker - A lightweight experiment tracking harness |
2025-07-18 02:15:37 |
| swanlab |
0.6.7 |
Python library for streamlined tracking and management of AI training processes. |
2025-07-17 14:43:26 |
| staged-script |
2.0.4 |
A Python package enabling the development of robust automation scripts that are subdivided into stages. |
2025-07-16 20:40:14 |
| gofigr |
1.2.0 |
GoFigr client library |
2025-07-09 01:33:40 |
| flowcept |
0.7.18 |
Capture and query workflow provenance data using data observability |
2025-02-28 00:04:53 |
| zntrack |
0.8.4 |
Create, Run and Benchmark DVC Pipelines in Python |
2025-02-20 16:52:41 |
| ipsuite |
0.2.4 |
A suite of tools for machine learned interatomic potentials. |
2025-02-17 17:03:27 |
| conda-store |
2025.2.2 |
conda-store client |
2025-02-11 23:13:20 |
| ProvSense |
1.0.2 |
ProvSense is a Python library for managing knowledge graph provenance. It enables efficient comparison of files, tracking changes, and enforcing provenance rules to ensure data integrity and traceability. Ideal for researchers and developers, ProvSense promotes transparency and accountability in data-driven workflows. |
2025-02-07 21:13:22 |
| dvclive |
3.48.2 |
Experiments logger for ML projects. |
2025-02-06 04:44:17 |
| mlipx |
0.1.3 |
Machine-Learned Interatomic Potential eXploration |
2024-12-12 14:13:35 |
| e2clab |
3.3.1 |
Your Edge-to-Cloud laboratory |
2024-12-04 13:06:25 |
| dvc |
3.58.0 |
Git for data scientists - manage your code and data together |
2024-12-01 16:53:53 |
| swanboard |
0.1.6 |
Dashboard for SwanLab. |
2024-11-24 09:14:15 |
| snapper-ml |
0.4.1 |
A framework for reproducible machine learning |
2024-11-12 18:25:51 |
| expyrun |
0.2.0 |
Run reproducible experiments from yaml configuration file |
2024-10-24 14:25:36 |
| gradio-rich-textbox |
0.4.3 |
Gradio custom component for rich text input |
2024-10-21 16:27:26 |