An introduction to the magic of jq - Understanding the basics of jq with a realistic example

• yq

  66 10,736 9.2 Go

  yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor

There's also yq for YAML, XML, CSV - https://mikefarah.gitbook.io/yq/

• yamlpath

  9 109 4.8 Python

  YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.

I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• jello

  31 452 5.8 Python

  CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)

I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:

• gron

  64 13,483 0.0 Go

  Make JSON greppable!

Thank you for these! You likely already know, but there is also gron - https://github.com/TomNomNom/gron - which takes a slightly different philosophical stance than jq, but the end result is something that fits in easier with the other existing line based UNIX tools.

• pup

  52 7,998 0.0 HTML

  Parsing HTML at the command line

And for HTML, there is also https://github.com/ericchiang/pup.

• dasel

  44 4,856 8.2 Go

  Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.

And there also is dasel that is comparable to jq / yq, but supports JSON, YAML, TOML, XML and CSV with zero runtime dependencies while working on all platforms.

Suggest a related project