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Calkit
Cloud integration
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calkit/calkit
Calkit
calkit/calkit
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Installation
Quickstart
Sharing, collaboration, and backup (Calkit hub)
Sharing, collaboration, and backup (Calkit hub)
Running your own
Use with AI tools
Questions, hypotheses, answers, and evidence
Version control
The calkit.yaml file
Requirements, configuration, and secrets
Environments
The pipeline
The pipeline
Runnable Markdown
Running and logging
Manual steps
Notebooks
JupyterLab
High performance computing (HPC)
Datasets
Provenance
References
Calculations
Apps
Releasing/archiving projects and artifacts
Local server (GUI interaction)
LaTeX documents
Overleaf integration
Browser extension
Browser extension
Privacy policy
Subprojects
Examples
Tutorials
Tutorials
🎥 Creating your first project
🎥 Composing a pipeline from multiple Jupyter notebooks in JupyterLab
Converting an existing project to a Calkit project
OpenFOAM, Docker, and Reviewer 2
Adding a new LaTeX-based publication with its own Docker build environment
Collaborating on a LaTeX document with GitHub Codespaces
Collaborating on a LaTeX document using Microsoft Word for feedback
Using a Jupyter Notebook as a reproducible pipeline
Defining and executing procedures
Keeping track of conda environments
Using Microsoft Office
🎥 Using MATLAB
Running Calkit in GitHub Actions
Making a README runnable
Connect a Jupyter Notebook to a kernel in a SLURM environment in VS Code
Declarative, structured prompting to make AI agents work reproducibly
Writing first: let the paper drive the project
CLI reference
Help and support
Reproducibility
Governance
Acknowledgements
Cloud integration
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