crystal_kernel
bash_kernel
Our great sponsors
| crystal_kernel | bash_kernel | |
|---|---|---|
| 1 | 5 | |
| 11 | 672 | |
| - | - | |
| 0.0 | 5.0 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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.
crystal_kernel
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.
What are some alternatives?
icr - Interactive console for Crystal programming language
docker-stacks - Ready-to-run Docker images containing Jupyter applications
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
tqdm - :zap: A Fast, Extensible Progress Bar for Python and CLI
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
runme - DevOps Workflows Built with Markdown
xc - Markdown defined task runner.
livebook - Automate code & data workflows with interactive Elixir notebooks