| Name | Version | Summary | date |
| pyfunc-pipeline |
0.4.0 |
Functional programming pipeline for Python with chainable operations, lazy evaluation, and elegant placeholder syntax |
2025-08-05 11:38:29 |
| noetl |
0.1.36 |
A framework to build and run data pipelines and workflows. |
2025-08-05 09:25:26 |
| cdiutils |
0.2.0 |
A Python package for (Bragg) Coherent X-ray Diffraction Imaging processing, analysis and visualisation workflows. |
2025-08-05 08:46:00 |
| xsnap |
0.2.5 |
A Python-based pipeline module to easily handle data calibration from Chandra, Swift-XRT, XMM-Newton, and NuSTAR data. Additionally, spectral fitting and analysis are available with the help of XSPEC |
2025-08-05 05:05:29 |
| zenml-nightly |
0.84.1.dev20250805 |
ZenML: Write production-ready ML code. |
2025-08-05 01:02:15 |
| gitlab-pipeline-analyzer |
0.1.1 |
FastMCP server for analyzing GitLab CI/CD pipeline failures |
2025-08-04 14:34:53 |
| digout |
0.1.1 |
Pipeline framework to dump analysis-ready data from LHCb grid-based files |
2025-08-04 01:33:35 |
| atelierflow |
0.1.1 |
A lightweight Python framework for creating clear, reproducible, and scalable machine learning pipelines. |
2025-08-03 20:49:34 |
| cursus |
1.0.3 |
Automatic SageMaker Pipeline Generation from DAG Specifications |
2025-08-03 17:32:41 |
| mlarena |
0.4.1 |
An algorithm-agnostic machine learning toolkit for model training, diagnostics and optimization |
2025-08-03 07:59:19 |
| trcks |
0.3.2 |
Typesafe railway-oriented programming (ROP) |
2025-08-03 06:08:03 |
| rust-crate-pipeline |
1.5.6 |
A comprehensive pipeline for analyzing Rust crates with AI enrichment and enhanced scraping |
2025-08-01 23:19:44 |
| sm-dag-compiler |
1.0.1 |
Automatic SageMaker Pipeline Generation from DAG Specifications |
2025-08-01 16:22:28 |
| damast |
0.1.10 |
Package to improve the development of transparent, replicable data processing pipelines |
2025-08-01 12:12:43 |
| datajoint |
0.14.6 |
DataJoint for Python is a framework for scientific workflow management based on relational principles. DataJoint is built on the foundation of the relational data model and prescribes a consistent method for organizing, populating, computing, and querying data. |
2025-07-31 22:08:03 |
| zenml |
0.84.1 |
ZenML: Write production-ready ML code. |
2025-07-30 08:34:39 |
| stepflow-py |
0.2.4 |
Python SDK for Stepflow components and workflows. |
2025-07-30 04:53:00 |
| flokkit-flow |
0.2.1 |
A type-safe, async-first flow-based programming framework for Python |
2025-07-28 01:00:10 |
| pysetl |
1.2.1 |
A PySpark ETL Framework |
2025-07-27 18:35:31 |
| 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 |