pipeline-runner
elyra
| pipeline-runner | elyra | |
|---|---|---|
| 1 | 2 | |
| 21 | 1,780 | |
| - | 1.3% | |
| 7.6 | 6.3 | |
| 15 days ago | 21 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pipeline-runner
elyra
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Introducing Elyra pipelines with custom component support
The Elyra open source project for JupyterLab aims to simplify common data science tasks. Its most popular feature is the Visual Pipeline Editor, which is used to create pipelines without the need for coding. You can run these pipelines in JupyterLab or on Kubeflow Pipelines or Apache Airflow.
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What's new in Elyra 2.0
During the past year we have received many suggestions and feedback from users like you. We appreciate your input and encourage you to stay involved. Open GitHub issues, reach out on gitter, post in our new forum, or join our weekly community meeting.
What are some alternatives?
Contributions-Importer-For-Github - This tool helps users to import contributions to GitHub from private git repositories, or from public repositories that are not hosted in GitHub.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
act - Run your GitHub Actions locally 🚀
sagemaker-run-notebook - Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
argo - Workflow Engine for Kubernetes
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
ipyflow - A reactive Python kernel for Jupyter notebooks.
airflow-docker - Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)
debugger - A visual debugger for Jupyter notebooks, consoles, and source files