fq VS yq

Compare fq vs yq and see what are their differences.

fq

jq for binary formats - tool, language and decoders for working with binary and text formats (by wader)

yq

yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor (by mikefarah)
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fq yq
44 66
9,402 10,840
- -
9.4 9.2
3 days ago 2 days ago
Go Go
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

fq

Posts with mentions or reviews of fq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

yq

Posts with mentions or reviews of yq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

When comparing fq and yq you can also consider the following projects:

jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]

yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents

jq - Command-line JSON processor

Kaitai Struct - Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby

yaml.nvim - 🍒 YAML toolkit for Neovim users

HexFiend - A fast and clever hex editor for macOS

csvq - SQL-like query language for csv

nq - Unix command line queue utility

oq - A performant, and portable jq wrapper to facilitate the consumption and output of formats other than JSON; using jq filters to transform the data.

miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON