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

Skedulo
Smarter Field Service and Faster Remote Assistance.
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.
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| Website | github.com | tillerstack.com |
| Pricing | — | |
| Company | — | Startup from Germany · 50 - 99 employees · 2019 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of jello yet.
TillerStack provides Field Service Management (FSM) and On-Site Remote Assist (OSRA) solutions for modern service organizations. Its TSentra platform supports AI-powered scheduling, dispatching, route optimization, mobile workforce management, and real-time field operations, while Osra+ uses AI...
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Recommended for
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Koolaid Gels Jello Review
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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 TillerStack since Sep 2022.
When comparing jello and TillerStack, you can also consider the following products.


Skedulo is a mobile workforce scheduling and management application integrated with the Salesforce.com platform.
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jq is like sed for JSON data - you can use it to slice and filter and map and transform structured...
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Interactive multi-tool for tabular data in the console
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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 ...
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A powerful DSL for elegant description of JSON data.
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