miller VS structured-text-tools

Compare miller vs structured-text-tools and see what are their differences.

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miller structured-text-tools
63 13
8,510 6,843
- -
9.1 8.3
8 days ago about 1 month ago
Go
GNU General Public License v3.0 or later -
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.

miller

Posts with mentions or reviews of miller. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-22.

structured-text-tools

Posts with mentions or reviews of structured-text-tools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-12.

What are some alternatives?

When comparing miller and structured-text-tools you can also consider the following projects:

visidata - A terminal spreadsheet multitool for discovering and arranging data

xsv - A fast CSV command line toolkit written in Rust.

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

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.

csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang

yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor

csvq - SQL-like query language for csv

json-toolkit - "the best opensource converter I've found across the Internet" -- dene14

gron - Make JSON greppable!

awesome-cli-apps - 🖥 📊 🕹 🛠 A curated list of command line apps

csvkit - A suite of utilities for converting to and working with CSV, the king of tabular file formats.