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In addition to jq (already mentioned) here are some other useful CLI tools for dealing with JSON data. Descriptions are directly from GitHub. Note: dsq also has a companion GUI app called DataStation[0] if you're looking for that.

fx: Command-line JSON processing tool - https://github.com/antonmedv/fx

dasel: JSON, YAML, TOML, XML, and CSV query and modification tool - https://github.com/TomWright/dasel

dsq: CLI tool for running SQL queries against JSON, CSV, Excel, Parquet, and more - https://github.com/multiprocessio/dsq

gron: Make JSON greppable - https://github.com/tomnomnom/gron

jello: Filter JSON and JSON Lines data with Python syntax - https://github.com/kellyjonbrazil/jello

jless: Command-line pager for JSON data - https://github.com/PaulJuliusMartinez/jless

jid: Json incremental digger - https://github.com/simeji/jid

jql: JSON query language CLI tool - https://github.com/yamafaktory/jql

qp: Command-line (ND)JSON querying - https://github.com/paybase/qp

[0]: https://github.com/multiprocessio/datastation




I would add VisiData to that list. It is more suited for tabular data, but it can be used to explore large nested data. I find it is a good starting place to explore json data I'm not familiar with. I will also sometimes flatten the data with some general jq scripts or gron.

If I'm trying to understand some new json data, I start with visidata, and then I poke around to find the data I want. If it is data I want to extract again, I use jq to get the interesting bits. Sometimes I use that in combination with sqlite-utils to store that data so I can query it. (I haven't tried some of the other tools that will create a sqlite database for you.)

- https://github.com/saulpw/visidata - https://github.com/simonw/sqlite-utils




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