Name | Version | Summary | date |
gto |
1.7.1 |
Version and deploy your models following GitOps principles |
2024-03-20 04:39:52 |
dvclive |
3.45.0 |
Experiments logger for ML projects. |
2024-03-11 18:03:45 |
pyxet |
0.1.9 |
pyxet is a Python library that provides a lightweight interface for the XetHub platform. |
2024-03-08 01:40:31 |
dvc |
3.48.3 |
Git for data scientists - manage your code and data together |
2024-03-07 16:23:28 |
diqu |
0.1.2 |
Data Quality CLI for the Auto-Alerts |
2024-03-04 07:49:33 |
signac |
2.2.0 |
Manage large and heterogeneous data spaces on the file system. |
2024-02-14 15:18:08 |
mldev |
0.5.0.dev1 |
mldev is a tool for running reproducible experiments |
2024-01-28 15:19:20 |
ZnTrack |
0.7.2 |
Create, Run and Benchmark DVC Pipelines in Python |
2023-12-19 13:35:31 |
pyobjc-framework-Collaboration |
10.1 |
Wrappers for the framework Collaboration on macOS |
2023-12-09 08:59:04 |
diqu-email |
0.0.2 |
Data Quality CLI for the Auto-Alerts - Emails |
2023-11-26 08:15:35 |
mlflow-xethub |
0.0.0 |
mlflow[xethub] is a mlflow plugin integrating XetHub with MLflow so that you can use existing MLflow code to track experiments but store artifacts to XetHub. |
2023-10-12 03:42:15 |
raga-cli |
0.1.78 |
Git for data scientists - manage your code and data together |
2023-09-05 14:18:36 |
jam-ai |
0.2.1 |
Engaging with Multiple AI Agents with Jam. |
2023-07-18 12:36:26 |
mlem |
0.4.14 |
Version and deploy your models following GitOps principles |
2023-07-13 05:24:38 |
rctl |
0.0.13 |
Git for data scientists - manage your code and data together |
2023-01-10 05:42:26 |
smartsheet-python-sdk |
3.0.0 |
Library that uses Python to connect to Smartsheet services (using API 2.0). |
2022-12-07 13:48:37 |