DevOps Notebooks Built with Markdown • RUNME
Getting Started
Get Runme setup for VS Code, CLI, Web, Docker or with your CDE.
Usage
How to use all the available features and integrations for crafting reliable Notebooks.
Configuration
An overview of the available config for Notebooks and cells, including identity, auto-save and shebang.
$
brew install runme && runme open
Open source, open standards, Apache License Version 2.0 and compatible with your existing toolchain.
Make Markdowns Interactive
Guides
Explore step-by-step examples with all the tools in your DevOps stack.
Bash Scripts
Run bash scripts directly within your Markdown files as a Runme Notebook.
Devcontainers
Connect your Runme Notebook to a Devcontainer.
Test in CI
Run your Notebooks as tests in your CI/CD pipelines to keep them from bitrot.
Docker
Runme Notebooks for Docker workflows.
Python .venv
Create and use a virtual environment for running Python commands.
Terraform
Runme Notebooks for Terraform workflows.
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Dagger
Easily write, develop, and run Dagger modules and pipelines within a notebook environment
K8s with Helm
Runme Notebooks for k8s/Helm workflows.
K8s with Argo CD
Setup and interact with Argo using Runme Notebooks.
AWS
Manage AWS resources and perform operations from your Markdown environment.
BigQuery
Interact with BigQuery in GCloud and render sortable tables.
Cloud Run
Manage Google Cloud Run resources and perform operations from your Markdown environment.
GCP
Manage Google Cloud resources and perform operations from your Markdown environment.
Loved by Engineers
Runme now natively supports Dagger Shell! You can now create runnable notebooks for any devops workflow, using an awesome web UI and the full power of Dagger. Highly recommended!
I'm a big fan of executable documentation: looks like Runme.dev is aiming for exactly that: apply the concepts of Jupyter notebooks for your DevOps tooling.
Runme has quickly become an indispensable tool in our tech stack. The ability to seamlessly pair natural language explanations with commands and rich output creates the ideal user experience for integrating AI into our DevOps workflow. It's revolutionized how we document and execute our processes, making everything more efficient and accessible.



