https://github.com/pipekit/examples
A set of example workflows to use when trying out Pipekit.
https://github.com/pipekit/examples
argo argoworkflows data-science pipekit
Last synced: 6 months ago
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A set of example workflows to use when trying out Pipekit.
- Host: GitHub
- URL: https://github.com/pipekit/examples
- Owner: pipekit
- License: agpl-3.0
- Created: 2023-09-22T09:20:16.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-12-04T12:00:46.000Z (7 months ago)
- Last Synced: 2025-12-07T19:56:49.232Z (7 months ago)
- Topics: argo, argoworkflows, data-science, pipekit
- Homepage: https://pipekit.io/signup
- Size: 130 KB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://pipekit.io)
# Pipekit Argo Workflows Examples
A collection of examples designed to help you get started with Pipekit. All these examples will work out-of-the-box with the [Pipekit Getting Started guide](https://docs.pipekit.io/getting-started).
You are encouraged to fork the repo and experiment with adjusting the workflows to suit your needs.
## Getting Started
1. Create a free trial account at [pipekit.io](https://pipekit.io/signup).
2. The `README.md` accompanying each example will tell you how to run it from your terminal using the [Pipekit CLI](https://docs.pipekit.io/cli).
3. If you want to experiment with git [run conditions](https://docs.pipekit.io/pipekit/pipes/managing-pipes/run-conditions), fork this repository and connect your fork to Pipekit.
## Examples
| Example Name | Description |
|----------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|
| [cronworkflow-example]( examples/cronworkflow-example/ ) | Runs a basic CronWorkflow. |
| [dag-diamond]( examples/dag-diamond/ ) | Runs a basic DAG Workflow. |
| [external-logs]( examples/external-logs/ ) | Workflows deploys a kubernetes job. You can see the logs from the job within Pipekit. |
| [fan-out-fan-in]( examples/fan-out-fan-in/ ) | Shows how S3 artifact processing can be parallelized with Argo Workflows using a fan-out approach. |
| [get-versions](examples/get-versions/) | A workflow that outputs the versions of software installed in a Pipekit free trial cluster. Available as both a Hera and a native Workflow |
| [hera-coinflip](examples/hera-coinflip/) | Runs a basic coinflip example using the Hera Python framework. |
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