jertl VS jinsi

Compare jertl vs jinsi and see what are their differences.

jertl

A minimum viable Python package for processing structured data (by RaymondPelletier)
Python structure data pattern-matching Templates JSON mini-language structured-data virtual-machine
Source Code
Docs
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jinsi

JSON/YAML homoiconic templating language (by scravy)
Python Python3 python-3 YAML yaml-files yaml-configuration JSON Template engine Templates Functional programming pypy3 Cloudformation Kubernetes kubernetes-deployment DevOps Saltstack
Source Code
pypi.org
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jertl jinsi
1 1
0 17
- -
0.0 3.7
over 1 year ago 12 months ago
Python Python
Apache License Version 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

jertl

Posts with mentions or reviews of jertl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-31.
  • jmespath.py VS jertl - a user suggested alternative
    2 projects | 31 Oct 2022
    jertl is a minimum viable Python package for processing structured data. It allows developers to declaratively define common operations on complex data structures. Operations are specified using a mini-language in which target structures are visually similar to their textual representation.

jinsi

Posts with mentions or reviews of jinsi. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing jertl and jinsi you can also consider the following projects:

stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis

omegaconf - Flexible Python configuration system. The last one you will ever need.

jmespath.py - JMESPath is a query language for JSON.

yamlpath - YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.

kapitan - Generic templated configuration management for Kubernetes, Terraform and other things

kapitan-reference - Reference structure for Kapitan - alpha version

mashumaro - Fast and well tested serialization library

hikaru - Move smoothly between Kubernetes YAML and Python for creating/updating/componentizing configurations.

srsly - 🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)

kubernetes-workshop - ⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.

unpythonic - Supercharge your Python with parts of Lisp and Haskell.

CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev

jertl vs stumpy jinsi vs omegaconf jertl vs jmespath.py jinsi vs yamlpath jinsi vs kapitan jinsi vs kapitan-reference jinsi vs mashumaro jinsi vs hikaru jinsi vs srsly jinsi vs kubernetes-workshop jinsi vs unpythonic jinsi vs CherryPy