
fx
jq
VisiData
DSQ
Jsonnet
JSON Crack
yq
jello is a command line tool that filters JSON data using pure python syntax.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Which is more popular?
Based on our record, jello seems to be more popular. It has been mentioned 20 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | github.com | diffyn.com |
| Pricing | — | |
| Platforms | — | |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of jello yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Koolaid Gels Jello Review
More videos
The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing jello and Diffyn.
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Diffyn's answer:
React, Next.js, POSTGRESQL
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
Share your experience with using jello and Diffyn. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


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 / about 3 years ago
A couple more alternatives: https://github.com/kellyjonbrazil/jello. - Source: Hacker News / about 3 years ago
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: over 3 years ago
Tracking Diffyn since Jun 2025.
When comparing jello and Diffyn, you can also consider the following products.


jq is like sed for JSON data - you can use it to slice and filter and map and transform structured...
Compare jq to jello or Diffyn:

Interactive multi-tool for tabular data in the console
Compare VisiData to jello or Diffyn:

Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. - GitHub - multiprocessio/dsq: Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and ...
Compare DSQ to jello or Diffyn:

