JF, aka "jndex fingers" or more commonly "json filter pipeline", is a jq-clone written in python. It supports evaluation of python one-liners, making it especially appealing for data scientists who are used to working with python.
To get started, install jf
pip install jfFilter selected fields
$ cat samples.jsonl | jf 'map({id: x.id, subject: x.fields.subject})'
{"id": "87086895", "subject": "Swedish children stories"}
{"id": "87114792", "subject": "New Finnish storybooks"}To really get started using JF, start with the userguide.
For examples onf how you might use JF with your own data, check out the examples.
For detailed information about specific JF components, consult the modules.
docs/user_guide docs/modules docs/examples
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