yj VS flatten-tool

Compare yj vs flatten-tool and see what are their differences.

yj

CLI - Convert between YAML, TOML, JSON, and HCL. Preserves map order. (by sclevine)

flatten-tool

Tools for generating CSV and other flat versions of the structured data (by OpenDataServices)
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yj flatten-tool
6 2
929 101
- 0.0%
3.6 5.4
4 months ago about 2 months ago
Go Python
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.

yj

Posts with mentions or reviews of yj. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-28.

flatten-tool

Posts with mentions or reviews of flatten-tool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-07.

What are some alternatives?

When comparing yj and flatten-tool you can also consider the following projects:

www.yaml.org - The yaml.org website

ndjson.github.io - Info Website for NDJSON

noyaml - A silly emotional rant about the state of devops tooling/the infrastructure sector in 2018. #noyaml.com

flatterer - Opinionated JSON to CSV/XLSX/SQLITE/PARQUET converter. Flattens JSON fast.

hjson - Hjson, a user interface for JSON

jsonmatic - ⚗️ Transform a CSV (spreadsheet) into a JSON.

tombl - Easily query TOML files from bash

ndjson - Streaming line delimited json parser + serializer

rq - Record Query - A tool for doing record analysis and transformation

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

brackit - Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.