flatten-tool VS jsonmatic

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

flatten-tool

Tools for generating CSV and other flat versions of the structured data (by OpenDataServices)

jsonmatic

⚗️ Transform a CSV (spreadsheet) into a JSON. (by erikmartinjordan)
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flatten-tool jsonmatic
2 4
101 124
0.0% -
5.4 2.7
about 2 months ago 12 months ago
Python JavaScript
MIT License 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.

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.

jsonmatic

Posts with mentions or reviews of jsonmatic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-02.

What are some alternatives?

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

ndjson.github.io - Info Website for NDJSON

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

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

ndjson - Streaming line delimited json parser + serializer

yj - CLI - Convert between YAML, TOML, JSON, and HCL. Preserves map order.

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

csv2json - Simple tool for converting CSVs to JSON

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

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.