ffmprovisr
jq
ffmprovisr | jq | |
---|---|---|
20 | 56 | |
517 | 29,201 | |
0.2% | 1.4% | |
4.6 | 9.3 | |
19 days ago | 6 days ago | |
HTML | C | |
- | GNU General Public License v3.0 or later |
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ffmprovisr
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Gooey: Turn almost any Python command line program into a full GUI application
The Handbrake suggestion is a good one if your only interest is transcoding ... which barely scratches the breadth of what ffmpeg as a tool can do.
Try: https://amiaopensource.github.io/ffmprovisr/
for a 'better' ffmpeg CLI documentation, your mileage may vary, it's task and example focused.
Try: https://github.com/topics/ffmpeg-gui
for 66 variations on a GUI for ffmpeg of which I have no comment, I'm an old school CLI user through and through.
- ffmprovisr: Making FFmpeg Easier
- Ffmprovisr – Making FFmpeg Easier
- ffmprovisr: app to help you through the FFmpeg command generation process
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Cheatsheet I made of ffmpeg commands I use a lot
I wonder if you’ve seen this. And what about that you found useful and/or not useful.
- #2: are there authoritable ffmpeg wikis or an o'reilly style book for ffmpeg?
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FFmpeg guide with 21 Sample FFmpeg Commands
ffmprovisr https://amiaopensource.github.io/ffmprovisr/
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how to convert multiple .mov to .mp4?
just put whatever you need in ffmpeg call in the loop i posted. it's all up to you, what encoder to use, what bitrate or CFR value, what resolution. i think you'll find this site helpful in getting what you want -> https://amiaopensource.github.io/ffmprovisr/ you'll find a shitload of examples there, that you can modify to suit your use case.
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?
scrcpy - Display and control your Android device
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
jp - Validate and transform JSON with Bash
gifski - GIF encoder based on libimagequant (pngquant). Squeezes maximum possible quality from the awful GIF format.
gojq - Pure Go implementation of jq
VapourSynth-Bwdif - Bwdif filter for VapourSynth
Jolt - JSON to JSON transformation library written in Java.
ffmpeg-compare
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.
ffmpeg-recipes - Scripts for different video transcode scenarios
jmespath.py - JMESPath is a query language for JSON.