jp VS yq

Compare jp vs yq and see what are their differences.

jp

Command line interface to JMESPath - http://jmespath.org (by jmespath)

yq

yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor (by mikefarah)
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jp yq
6 66
719 10,872
1.3% -
1.1 9.2
11 months ago 7 days ago
Python Go
Apache License 2.0 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.

jp

Posts with mentions or reviews of jp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-05.

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 jp and yq you can also consider the following projects:

jq - Command-line JSON processor

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

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

fx - Terminal JSON viewer & processor

yaml.nvim - 🍒 YAML toolkit for Neovim users

jet - CLI to transform between JSON, EDN, YAML and Transit using Clojure

csvq - SQL-like query language for csv

scout - Reading and writing in JSON, Plist, YAML and XML data made simple when the data format is not known at build time. Swift library and command-line tool.

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.

jid - json incremental digger

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