ndjson VS flatten-tool

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

ndjson

Streaming line delimited json parser + serializer (by ndjson)

flatten-tool

Tools for generating CSV and other flat versions of the structured data (by OpenDataServices)
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ndjson flatten-tool
1 2
106 101
0.0% 0.0%
0.0 5.4
over 2 years ago about 2 months ago
JavaScript Python
- 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.

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.

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 ndjson and flatten-tool you can also consider the following projects:

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

ndjson.github.io - Info Website for NDJSON

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

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

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

jq - Command-line JSON processor

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

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.