mods | jq | |
---|---|---|
11 | 55 | |
2,431 | 29,146 | |
5.5% | 1.2% | |
9.0 | 9.3 | |
6 days ago | 7 days ago | |
Go | C | |
MIT License | GNU General Public License v3.0 or later |
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.
mods
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Essential Command Line Tools for Developers
View on GitHub
- AI on the Command Line
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LocalAI v1.18.0 release!
Mods
- FLaNK Stack 5-June-2023
- Mods adds support for LocalAI
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LLM, ttok and strip-tags–CLI tools for working with ChatGPT and other LLMs
Another enthusiastic vote for https://github.com/charmbracelet/mods - this is precisely the UX I was looking and waiting for - the day that I cloned it and started using it within my terminal was the day I no longer needed to even window out to firefox - and it feels very natural to compose with pipes, wrap into shell scripts, etc.
Early days, but you can see some of the ways this is already helping me out quite a bit (and increasing my enjoyment of things I already like to do): github.com/zackproser/automations
- Mods: AI for the command line built with Bubble Tea and Go
- GPT for command line pipelines
- ChatGPT on the command line
jq
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Data Science at the Command Line, 2nd Edition (2021)
Thanks, if anyone else is interested there is an explanation of this feature here: https://subtxt.in/library-data/2016/03/28/json_stream_jq And: https://github.com/jqlang/jq/wiki/FAQ#streaming-json-parser
The last time I tried, I think the reason I gave up on JQ for large inputs was that the throughput would max out at 7mb/s whereas the same thing with spark SQL on the same hardware (MacBook) would max out at 250mb/s. So I started looking into using other solutions for big data while I use jq in parallel for small data in multiple files.
I will test it out again cause this was 4-5 years ago when I last tested it, but I believe jaq is still preferred for large inputs. Still I prefer for big data to use Spark/Polars/clickhouse etc.
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Bytecode VMs in Surprising Places
Looks like you are correct https://github.com/jqlang/jq/blob/ed8f7154f4e3e0a8b01e6778de...
- Frawk: An efficient Awk-like programming language. (2021)
- Dehydrated: Letsencrypt/acme client implemented as a shell-script
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I turned my open-source project into a full-time business
I think like you. But also, one does not necessarily know beforehand that they will want to make money.
Like a project could be born out of pure generosity, but after the happy initial phase the project might get too heavy on the maintenance requirements, causing the author to approach burnout, and possibly deciding that they want to make money to continue pulling the cart forward.
However, here's something I do think: if you create something as Open Source, it should be out of a mentality of goodwill and for the greater good, regardless of how it ends up being used. OSS licenses do mean this with their terms. If you later get tired or burned out, you should just retire and allow the community to keep taking care of it. Just like it happened with the Jq tool [1].
[1]: https://github.com/jqlang/jq/releases/tag/jq-1.7
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How to load JSON data in PostgreSQL with the the COPY command
In this blog we'll see how to upload the JSON directly using PostgreSQL COPY command and using an utility called jq!
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How to Recover Locally Deleted Files From Github
And we can then make it easier to find the commit by filtering the response with jq.
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Essential Command Line Tools for Developers
Official Documentation: jqlang.github.io/jq
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Command line tools I always install on Ubuntu servers
To handle JSON files and JSON outputs in a script or format and highlight it, jq can be very handy. Many command line tools provide a json output, so you don't have to write a custom parser for a table a list in a terminal. Instead of that, you can use jq to get a specific value from the output or even modify the output. For more information, you can visit https://jqlang.github.io/jq/
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How I use Nix in my Elm projects
In some projects I've wanted to use HTTPie to test APIs and jq to work with some JSON data. Nix has been really helpful in managing those dependencies that I can't easily get from npm.
What are some alternatives?
wizapp - The Wizard's Apprentice, an AI-powered Typescript project functionality suite with CLI.
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
jp - Validate and transform JSON with Bash
butterfish - A shell with AI superpowers
gojq - Pure Go implementation of jq
chat_term - fast terminal access to ChatGPT
Jolt - JSON to JSON transformation library written in Java.
bashGPT - Use ChatGPT, GPT-3 and other models from the command line.
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.
shell_gpt - A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
jmespath.py - JMESPath is a query language for JSON.