amazon-genomics-cli-demos
jq
amazon-genomics-cli-demos | jq | |
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about 2 years ago | 12 months ago | |
Jupyter Notebook | C | |
MIT No Attribution | GNU General Public License v3.0 or later |
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amazon-genomics-cli-demos
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Profiling workflows with the Amazon Genomics CLI
Importantly, the method above can be used for any workflow that AGC can run so you don’t have to remember engine specific details of how to get such profiling information. This opens up the possibility of comparing the performance a workflow across workflow engines, which is something I’ll explore further in a future blog post. In the meantime, I recommend generating some plots of your own! All the Python code I used above is available in Github.
jq
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GNU Parallel, where have you been all my life?
That should recursively list directories, counting only the files within each, and output² jsonl that can be further mangled within the shell². You could just as easily populate an associative array for further work, or $whatever. Unlike bash, zsh has reasonable behaviour around quoting and whitespace too.
¹ https://zsh.sourceforge.io/Doc/Release/User-Contributions.ht...
² https://github.com/jpmens/jo
³ https://github.com/stedolan/jq
- How do i edit reputation?
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Jj: JSON Stream Editor
What I miss from jq and what is implemented but unreleased is platform independent line delimiters.
jq on Windows produces \r\n terminated lines which can be annoying when used with Cygwin / MSYS2 / WSL. The '--binary' option to not convert line delimiters is one of those pending improvements.
https://github.com/stedolan/jq/commit/0dab2b18d73e561f511801...
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Building and deploying a web API powered by ChatGPT
If you have jq installed you can use it to make the output look nicer.
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Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Check the jq manual!
- mkv vs mp4 metadata
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Amazon Begs Employees Not to Leak Corporate Secrets to ChatGPT
jq is your friend.
- Memes are all cool and all. But this is your daily remaining that 10000! =
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How to export/import/externally-edit/whatever WI entries?
The jq command (https://stedolan.github.io/jq/) is useful pulling that information out.
What are some alternatives?
full_spectrum_bioinformatics - An open-access bioinformatics text
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
awscurl - curl-like access to AWS resources with AWS Signature Version 4 request signing.
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
amazon-genomics-cli
gojq - Pure Go implementation of jq
json5 - JSON5 — JSON for Humans
jp - Validate and transform JSON with Bash
nushell - A new type of shell
Jolt - JSON to JSON transformation library written in Java.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
jmespath.py - JMESPath is a query language for JSON.