bash_kernel
runme
bash_kernel | runme | |
---|---|---|
5 | 15 | |
721 | 1,342 | |
0.3% | 3.9% | |
5.7 | 9.2 | |
4 months ago | 5 days ago | |
Python | Go | |
BSD 3-clause "New" or "Revised" 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.
bash_kernel
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Runme – Interactive Runbooks Built with Markdown
For those who don't know, Jupyter has a bash kernel: https://github.com/takluyver/bash_kernel
And you can run Jupyter notebooks from the CLI with Ploomber: https://github.com/ploomber/ploomber
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Ask HN: Is there a Jupyter Notebook for terminal/shell
Something like this? https://github.com/takluyver/bash_kernel
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Simple Jupyter kernel for Crystal with 140 lines
I wrote a Crystal kernel for Jupyter, just a modified bash_kernel, 140 lines of code, but it was tiring because I don't have enough Python ability. icrystal is the widely used Jupyter kernel for Crystal, which uses ICR . On the other hand, this crystal_kernel uses the official crystal interpreter.
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SPyQL – SQL with Python in the Middle
Thank you! One of my main goals was making data processing in the command-line more accessible and intuitive. If you use a shell you can leverage an extensive array of tools. please take a look at the recipes in the Readme. The shell is many times underrated for data processing!
Right now you can use it in Jupiter Notebooks using a shell kernel like: https://github.com/takluyver/bash_kernel
On the mid-term, developing a spyql kernel is appealing because of syntax highlighting, code autocompleting, and more. But unless several people show interest on this, I should tackle other features first.
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How does your team organize/manage their runbooks?
I recently learned of jupyter+bash and it seemed like a step toward rundeck.
runme
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Owl Store: A Type System for Environment Variables to Specify, Resolve, and Verify Correctness
Let us know what you think! The Owl Store is super early. It needs usage and more work to grow into its big promises. Get involved! The owl's code is here. Let's say the code is a bit chaotic. I'm more of a creative who likes solving painful problems than a 10x Golang engineer. Pull Requests are welcome, but more than anything, please try it out!
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Mdx – Execute Your Markdown Code Blocks, Now in Go
RunMe[1] seems like it is what you're looking for: https://docs.runme.dev/usage/run-tag
1: https://github.com/stateful/runme#runme-runs-markdown-- (Apache 2, golang)
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AWS/GCP/Azure Consoles, Embedded inside Your Docs
Before you go, please give Runme a ⭐️ Star on GitHub and join Runme's Discord to let the Runme team know what you think. Thank you!
- Has tu README realmente útil
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Runme Gist: A Pastebin for Terminals Inside Your Docs
Congrats! Save, share, and collaborate with your team. Needless to say, it is also entirely possible to keep the Session Output files offline and local. Read about it here. While you're here, please give Runme a ⭐️ Star on GitHub.
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Runme – Interactive Runbooks Built with Markdown
Join us, come hack on Runme, it's OSS and we are always looking for more contributors: https://github.com/stateful/runme
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Lightweight notebook solution for BigQuery
Execute this markdown file https://github.com/stateful/blog-examples/blob/main/gcp-bigquery/README.md with open-source https://runme.dev/
- Open-source Runme runs Markdown
- Runme Runs Markdown
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BranchGPT: The AI-Powered Solution to Personalized Branch Names
Full install instructions here. Note that runme branch and runme branchGPT are the same.
What are some alternatives?
xc - Markdown defined task runner.
icr - Interactive console for Crystal programming language
vscode-runme - DevOps Notebooks Built with Markdown - VS Code extension
crystal_kernel - Python wrapper kernel for Crystal
bats-detik - A library to ease e2e tests of applications in K8s environments