58 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Machine Learning Pipelines for Kubeflow | 1.4M | |
| Machine Learning Pipelines for Kubeflow | 297K | |
| Elyra extends JupyterLab with an AI centric approach. | 34K | |
| Elyra extends JupyterLab with an AI centric approach. | 19K | |
| Python utilities for IBM Watson Pipelines | 11K | |
| Elyra extends JupyterLab with an AI centric approach. | 8K | |
| Kubeflow Pipelines on Tekton | 7K | |
| Elyra extends JupyterLab with an AI centric approach. | 6K | |
| A Python SDK for watsonx.data integration. | 5K | |
| Python utilities for IBM Orchestration Pipelines | 5K | |
| CLI tool for managing ML projects on Vertex AI | 3K | |
| Contains modules with MAMMOths research results, and a lightweight demonstrator ... | 3K | |
| Kubeflow’s superfood for Data Scientists | 2K | |
| Kedro plugin with Kubeflow Pipelines support | 2K | |
| Kedro Plugin to support running workflows on GCP Vertex AI Pipelines | 2K | |
| JupyterLab sidebar showing ml.cern.ch pipeline run status | 2K | |
| Allows the specification and execution of ExtremeXP experiments | 2K | |
| Out-Of-Tree Llama Stack Eval Provider for Red Teaming LLM Systems with Garak | 1K | |
| 1K | ||
| Re-usable kfp components for hoodat | 1K | |
| sdk help users for better use of kubeflow | 952 | |
| Notebooks to Pipelines, reproducible data science, oh my. | 773 | |
| CLI tool for managing ML projects on Vertex AI | 611 | |
| Kubeflow pipeline utils | 479 | |
| The toolbox for kfp (Kubeflow Pipelines SDK) | 444 | |
| Extends the kfp package | 430 | |
| CICD controller to automate component building, pipeline deployment to DKube. | 426 | |
| Data Preparation Laboratory Library. KFP support | 395 | |
| Check, compile, upload, run and schedule Vertex Pipelines in a standardized mann... | 379 | |
| Hyper Model provides functionality to support MLOps | 362 | |
| Python package that allows the development of intuitive ML pipelines. | 359 | |
| Generate a simple Kubeflow Pipeline task | 341 | |
| Data Preparation Kit Library. KFP support | 327 | |
| MLRun Pipelines package for providing KFP 1.8 compatibility | 265 | |
| Kubeflow Pipeline extension for Metaflow | 259 | |
| Kubeflow pipelines made easy. | 253 | |
| Functions to set and use the AI Pipeline Params | 244 | |
| A tool for generating end-to-end pipelines on GCP. | 238 | |
| Extensions to kubeflow pipeline sdk. | 230 | |
| KFP components developed at Datatonic | 224 | |
| Use Kubeflow Pipeline to run distributed training jobs | 221 | |
| Lighter version of COG modules | 218 | |
| 178 | ||
| MLRun Pipelines package for providing KFP 2.* compatibility | 162 | |
| Deploy the KFP ML Pipeline from CLI. | 143 | |
| Data Preparation Kit Library. KFP support | 101 | |
| Data Preparation Kit Library. KFP support | 99 | |
| Kubeflow Pipelines | 91 | |
| 88 | ||
| 74 |
