json_to_paths
cheshire
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json_to_paths | cheshire | |
---|---|---|
2 | 2 | |
66 | 1,469 | |
- | - | |
0.0 | 5.6 | |
about 3 years ago | 2 months ago | |
JSONiq | Clojure | |
- | MIT License |
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json_to_paths
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Interactive Examples for Learning Jq
as a list of jq arguments.
You can use it to make queries or keep track of a documents structure.
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A Practical Introduction to jq (and more)
b) may care when the structure (but not the values) change.
so a jq utility[] that spits out all the jq paths for a json files helps in both cases.
cheshire
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Zq: An Easier (and Faster) Alternative to Jq
For me, transforming JSON on the command line was a pain, another DSL to learn. Now, I can just use Babashka/ Clojure + one or two functions from Cheshire https://github.com/dakrone/cheshire where I need to. If I needed a standalone tool, I would perhaps reach for https://github.com/borkdude/jet by the same author, Michiel Borkent, as Babashka or use jq that everybody else would find more familiar.
- A Practical Introduction to jq (and more)
What are some alternatives?
babashka - A Clojure babushka for the grey areas of Bash (native fast-starting Clojure scripting environment) [Moved to: https://github.com/babashka/babashka]
zed - A novel data lake based on super-structured data
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
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.
PowerShell - PowerShell for every system!
jid - json incremental digger
grop - helper script for the `gron | grep | gron -u` workflow
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
nushell - A new type of shell
gron - Make JSON greppable!