flatten-tool VS ndjson

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

flatten-tool

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

ndjson

Streaming line delimited json parser + serializer (by ndjson)
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flatten-tool ndjson
2 1
101 106
0.0% 0.0%
5.4 0.0
about 2 months ago over 2 years ago
Python JavaScript
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.

ndjson

Posts with mentions or reviews of ndjson. 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 ndjson you can also consider the following projects:

ndjson.github.io - Info Website for NDJSON

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

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

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

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

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

jq - Command-line JSON processor

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.