| Name | Version | Summary | date |
| sparkforge |
0.4.5 |
A powerful data pipeline builder for Apache Spark and Databricks |
2025-09-15 21:36:14 |
| cici-tools |
0.11.0 |
Power tools for CI/CD. |
2025-09-15 03:19:18 |
| zenml-nightly |
0.85.0.dev20250915 |
ZenML: Write production-ready ML code. |
2025-09-15 00:58:25 |
| language-pipes |
0.1.0 |
Easily distribute language models across multiple systems |
2025-09-14 19:47:24 |
| cursus |
1.2.5 |
Automatic SageMaker Pipeline Generation from DAG Specifications |
2025-09-14 18:26:27 |
| cocoindex |
0.2.10 |
With CocoIndex, users declare the transformation, CocoIndex creates & maintains an index, and keeps the derived index up to date based on source update, with minimal computation and changes. |
2025-09-14 17:20:16 |
| trcks |
0.3.6 |
Type-safe railway-oriented programming (ROP) |
2025-09-10 18:41:21 |
| gitlab-pipeline-analyzer |
0.10.0 |
FastMCP server for analyzing GitLab CI/CD pipeline failures |
2025-09-08 15:31:45 |
| dataglass |
0.8.1 |
dataglass is a Python library for data preprocessing, exploratory data analysis (EDA), and machine learning. It includes modules for handling missing values, detecting and resolving duplicates, managing outliers, feature encoding, type conversion, scaling, and pipeline integration. With its latest update, dataglass introduces intelligent automation which dynamically adapting preprocessing steps based on dataset characteristics, minimizing manual configuration and accelerating your workflow. |
2025-09-07 07:54:05 |
| framework3 |
1.0.20 |
A flexible framework for machine learning pipelines |
2025-09-06 21:00:47 |
| canonada |
0.4.0 |
Canonada is a data science framework that helps you build production-ready streaming pipelines for data processing in Python. |
2025-09-05 08:17:21 |
| relais |
0.2.1 |
A practical tool for managing async pipelines. |
2025-09-03 22:35:25 |
| relecov-tools |
1.7.0 |
Tools for managing and proccessing relecov network data. |
2025-09-03 14:41:06 |
| tubular |
1.4.8 |
Package to perform pre processing steps for machine learning models |
2025-09-03 09:45:54 |
| weaverbird |
0.60.0 |
A visual data pipeline builder with various backends |
2025-09-02 09:17:58 |
| FlowerPower |
0.21.0 |
A simple workflow framework for building and managing data processing pipelines |
2025-09-01 21:36:33 |
| py-stepchain |
0.1.2 |
Composable chain-of-steps orchestrator with context passing, logging, retries, and validation. |
2025-08-31 11:56:00 |
| workflowforge |
1.1.2 |
A robust and flexible library for creating GitHub Actions workflows, Jenkins pipelines, and AWS CodeBuild BuildSpecs programmatically in Python |
2025-08-30 22:18:41 |
| soxspipe |
0.13.6 |
A python package and command-line tools to The data-reduction pipeline for the SOXS instrument |
2025-08-30 21:00:48 |
| threadx |
0.1.0a3 |
Chaining function calls on steroids |
2025-08-29 15:22:34 |