| Name | Version | Summary | date |
| noetl |
0.1.38 |
A framework to build and run data pipelines and workflows. |
2025-08-12 05:18:07 |
| jpipe-runner |
3.0.0 |
A Justification Runner designed for jPipe. |
2025-08-11 13:32:02 |
| conveyor-streaming |
1.2.1 |
A Python library for streamlining asynchronous streaming tasks and pipelines. |
2025-08-10 22:19:21 |
| autoaicluster |
0.2.0 |
Auto AI Clustering: end-to-end segmentation via Python API or local web UI. |
2025-08-09 13:20:42 |
| cici-tools |
0.9.4 |
Power tools for CI/CD. |
2025-08-09 06:58:50 |
| seqerakit |
0.5.6 |
Automate creation of Seqera Platform resources |
2025-08-08 15:38:55 |
| quixstreams |
3.22.0 |
Python library for building stream processing applications with Apache Kafka |
2025-08-08 13:36:36 |
| PGAP2 |
1.0.6 |
PGAP2: a comprehensive pan-genome analysis pipeline for prokaryotic genomes |
2025-08-07 04:54:58 |
| zenml |
0.84.2 |
ZenML: Write production-ready ML code. |
2025-08-06 15:28:24 |
| sir3stoolkit |
90.15.2 |
SIR3S Toolkit |
2025-08-06 08:38:28 |
| 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 |
| 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 |
| 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 |
| sm-dag-compiler |
1.0.1 |
Automatic SageMaker Pipeline Generation from DAG Specifications |
2025-08-01 16:22:28 |
| 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 |
| 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 |