![python json query language python json query language](https://pythonawesome.com/content/images/size/w750/2021/08/rest_framework_simplejwt.png)
However, if your primary use case is as a CLI tool, jq is almost certainly your best bet, as it's a very well-known tool with a large amount of community support. We also introduce a logic capturing the schema proposal for JSON. Despite its ubiquity, jq doesn't have a robust, portable browser implementation, nor does it seem to be a major goal of the project. we define a lightweight query language allowing us to navigate through JSON documents.
![python json query language python json query language](https://www.codegrepper.com/codeimages/json.loads-python-error.png)
Jq is primarily used as a command-line tool rather than as an embeddable query / common expression language. If JSONLogic isn't expressive enough, or readability of JSONLogic becomes difficult, then MistQL will probably work better. If the shared logic is extremely simple, JSONLogic might work better for you. JSONLogic is much smaller than MistQL, but also much less expressive. If cross-language support is important, JMESPath might be your best bet, as MistQL only supports Python and JavaScript. JMESPath, however, has excellent cross-language support, whereas MistQL (for the time being) does not. One of the major driving factors behind MistQL is the fact that JMESPath isn't able to capture many of the key operations that MistQL provides.
Python json query language how to#
A goal of MistQL is to not simply be a query language, but a common expression language for defining a broad set of computations on a JSON-like object. If youve ever used slicing in python, then you already know how to use JMESPath slices. JMESPath and MistQL are similar in scope, but MistQL provides more out of the box, including arithmetic operations and regexes. How MistQL stacks up against other solutions JMESPath