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jello

jello is a command line tool that filters JSON data using pure python syntax.

jello Reviews and details

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  • jello Landing page
    Landing page //
    2023-08-19

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about jello and what they use it for.
  • jq 1.7 Released
    Jello let’s you use python syntax with dot notation without the stdin/stdout/json.loads boilerplate. https://github.com/kellyjonbrazil/jello. - Source: Hacker News / 8 months ago
  • jq 1.7 Released
    A couple more alternatives: https://github.com/kellyjonbrazil/jello. - Source: Hacker News / 8 months ago
  • Simple Apache Log Parser
    Yep, you can create a filter in jq to do that. Alternatively, if you prefer Python syntax you could try jello, which works like jq but is really Python under the hood. (I am also the author of jello). Source: about 1 year ago
  • Jc – JSONifies the output of many CLI tools
    Hi there - I'm the author of `jc`. I also created `jello`[0], which works just like `jq` but uses python syntax. I find `jq` is great for many things but sometimes more complex operations are easier for me to grok in python. [0] https://github.com/kellyjonbrazil/jello. - Source: Hacker News / over 1 year ago
  • An introduction to the magic of jq - Understanding the basics of jq with a realistic example
    I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:. Source: almost 2 years ago
  • Show HN: gq – like jq or zq, but you use Go
    Similar in concept to jello[0] which works like jq but uses python syntax. [0] https://github.com/kellyjonbrazil/jello. - Source: Hacker News / about 2 years ago
  • Anyone have a resource to filter out information from complex json outputs? In the example, I am trying to get the "state": "succeeded" information for each entry in the resource array.
    Or, if you prefer python list comprehension syntax, you could use Jello:. Source: about 2 years ago
  • Ask HN: Local Tools for Viewing JSON
    In addition to jq (already mentioned) here are some other useful CLI tools for dealing with JSON data. Descriptions are directly from GitHub. Note: dsq also has a companion GUI app called DataStation[0] if you're looking for that. fx: Command-line JSON processing tool - https://github.com/antonmedv/fx dasel: JSON, YAML, TOML, XML, and CSV query and modification tool - https://github.com/TomWright/dasel dsq: CLI... - Source: Hacker News / about 2 years ago
  • Looking for a CLI tool that can format a json file.
    Others (some offer more than just formatting): Jello. Source: about 2 years ago
  • FX: An interactive alternative to jq to process JSON
    Another option for those who are comfortable with Python syntax: Jello. Works like jq, but with python syntax without the boilerplate so it's nicer to use in scripts. Source: over 2 years ago
  • FX: An interactive alternative to jq to process JSON
    For those who are comfortable with python, I created Jello[0], which works like jq but uses python syntax. I also created Jellex[1], which is a TUI built on Jello to assist with building the python queries. Jello gives you the power of python but without all of the boilerplate, so it’s nicer to use in Bash scripts. [0] https://github.com/kellyjonbrazil/jello [1] https://github.com/kellyjonbrazil/jellex. - Source: Hacker News / over 2 years ago
  • Tips on Adding JSON Output to Your CLI App
    If you like python you might check out jello[0]. I basically wrote it to give you the power and simplicity of python without the boiler plate in a jq-like form-factor. Jello also allows you to use dot-notation instead of dict bracket notation, so it does make things easier on the command line. Also, there is jellex[1], which is a TUI wrapper around jello that can help you build your queries. [0]... - Source: Hacker News / over 2 years ago
  • Tips on Adding JSON Output to Your CLI App
    That’s why I created jello[0]. You get the power of python without the boilerplate so the experience is closer to jq with python syntax. [0] https://github.com/kellyjonbrazil/jello. - Source: Hacker News / over 2 years ago
  • printing structure of a list/dictionary (including nestings)
    To get another type of view that can help you see the data structure more easily, you could try jello. Full disclosure - I wrote this library (it's more of a CLI tool like jq, but in this case I'll show you how to use it inside the REPL to show the data structure):. Source: over 2 years ago
  • An Introduction to JQ
    And if you don't like jq syntax, here's how you can use JSON in Bash using jello, a tool I wrote that works very similarly to jq but uses pure Python syntax:. Source: over 2 years ago
  • Bringing the Unix Philosophy to the 21st Century
    Sure thing! https://github.com/kellyjonbrazil/jello Other languages are superior in their handling of maps/arrays, but Python is just so damned popular now I thought it was a good choice to democratize JSON handling. https://blog.kellybrazil.com/2020/03/25/jello-the-jq-alternative-for-pythonistas/. - Source: Hacker News / over 2 years ago
  • What's a small Linux program that you don't give much thought but makes your life a hundred times easier from time to time?
    There's a new TUI for jello now called jellex that can help you create your jello python filters faster and easier. Source: almost 3 years ago
  • Introducing Jello Explorer (jellex): A TUI for Jello so you can interactively query JSON using Python syntax
    Here is jello, which is the back-end to jellex and runs as a CLI: https://github.com/kellyjonbrazil/jello. Source: almost 3 years ago
  • Practical JSON at the Command Line using Jello
    This new version uses jello in the examples instead of jq: Https://blog.kellybrazil.com/2021/06/24/practical-json-at-the-command-line-using-jello/. Source: almost 3 years ago
  • Adding Json object in Json file
    Shameless plug: jello is also an option if you are familiar with python. Https://github.com/kellyjonbrazil/jello. Source: almost 3 years ago

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