Question 1

What's the best JSON parser for Python?

Accepted Answer

Awesome JSON lists several options like simplejson and jsonpickle, but it doesn't rank them; for speed, consider simdjson in C++ bindings or oj in Ruby, though you'll need to test based on your use case like performance or feature needs.

Question 2

How to format JSON from the command line?

Accepted Answer

The list includes tools like jq for processing and jsoncat for pretty-printing; for interactive use, fx or jid are highlighted, so install one via package managers and refer to their docs for specific syntax.

Question 3

Awesome JSON vs other awesome lists for data formats?

Accepted Answer

Awesome JSON is specialized for JSON resources, while lists like awesome-yaml cover other formats; it's more comprehensive for JSON tools but lacks cross-format comparisons, so use it for depth rather than breadth across data serialization.

Question 4

How to contribute to the Awesome JSON list?

Accepted Answer

Check the Contribute section in the README for guidelines, which typically involve submitting pull requests with new resources or fixes; ensure entries follow the curation standards and include relevant links.

Question 5

Is there a JSON Schema validator for JavaScript?

Accepted Answer

Yes, the list features validators like ajv and tv4, with ajv noted as the fastest; compare based on draft support or integration needs, as some tools like is-my-json-valid use code generation for performance.

Question 6

What tools convert JSON to CSV online?

Accepted Answer

Awesome JSON includes online utilities such as JSON to CSV by Konklone and CSV to JSON by Alef, which are privacy-friendly and offline-first; for batch processing, consider command-line tools like dsq listed in the database section.

JSON

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Frequently Asked Questions