| Name | Version | Summary | date |
| fedfred |
2.1.3 |
A feature-rich python package for interacting with the Federal Reserve Bank of St. Louis Economic Database: FRED |
2025-08-20 02:26:03 |
| quickinsights |
0.2.1 |
A creative and innovative Python library for data analysis with single command |
2025-08-19 19:13:21 |
| flox |
0.10.6 |
GroupBy operations for dask.array |
2025-08-18 21:36:31 |
| xcube-resampling |
0.1.0 |
A package to resample, reproject, and rectify geospatial datasets. |
2025-08-18 10:44:18 |
| graphistry |
0.41.1 |
A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration |
2025-08-15 16:49:48 |
| narwhals |
2.1.2 |
Extremely lightweight compatibility layer between dataframe libraries |
2025-08-15 08:24:50 |
| FlowerPower |
0.11.6.20 |
A simple workflow framework. Hamilton + APScheduler = FlowerPower |
2025-08-12 12:16:59 |
| agilab |
0.5.1 |
AGILAB a datascience IDE for engineering to explore AI |
2025-08-07 16:16:42 |
| agi-core |
0.5.1 |
AGI core aggregation of agi-env, agi-cluster, agi-node |
2025-08-07 16:16:14 |
| autoray |
0.7.2 |
Abstract your array operations. |
2025-07-09 00:26:37 |
| agi-gui |
0.1.11 |
AGI GUI |
2025-03-23 22:41:58 |
| agi-env |
0.1.11 |
AGI Env |
2025-03-23 22:41:55 |
| flowcept |
0.7.18 |
Capture and query workflow provenance data using data observability |
2025-02-28 00:04:53 |
| nebari |
2025.2.1 |
A Jupyter and Dask-powered open source data science platform. |
2025-02-20 17:05:39 |
| xarray-mongodb |
0.3.0 |
Store xarray objects on MongoDB |
2025-01-31 14:23:42 |
| sparse |
0.15.5 |
Sparse n-dimensional arrays for the PyData ecosystem |
2025-01-15 14:01:19 |
| adlfs |
2024.12.0 |
Access Azure Datalake Gen1 with fsspec and dask |
2024-12-15 19:06:30 |
| sqlalchemy-cratedb |
0.40.1 |
SQLAlchemy dialect for CrateDB. |
2024-11-04 22:55:17 |
| rcatool |
0.1.3 |
The Regional Climate Analysis Tool (RCAT), is a tool to calculate and visualize weather and climate model statistics. |
2024-09-15 21:06:03 |
| oracle-ml-insights |
1.2.0 |
ML Observability Insights Library |
2024-07-31 08:43:53 |