clean-architecture VS h3-py

Compare clean-architecture vs h3-py and see what are their differences.

clean-architecture

Example project showing off clean/hexagonal architecture concepts in Python (by Enforcer)

h3-py

Python bindings for H3, a hierarchical hexagonal geospatial indexing system (by uber)
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clean-architecture h3-py
1 1
465 756
- 0.7%
0.0 6.6
about 1 year ago 14 days ago
Python Python
MIT License Apache License 2.0
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.

clean-architecture

Posts with mentions or reviews of clean-architecture. We have used some of these posts to build our list of alternatives and similar projects.
  • Python code architecture in apis development
    1 project | /r/Python | 23 Mar 2021
    In order to try to understand how the industry is working I started looking around for some github repos, I found this one (which is exactly what i was looking for) and some youtube talks but i would like to have more examples.

h3-py

Posts with mentions or reviews of h3-py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-06.
  • Command-line data analytics made easy with SPyQL
    5 projects | dev.to | 6 Nov 2022
    Another advantage of SPyQL is that we can leverage the Python ecosystem. Let's try to do some more geographical statistics. Let's count towers by H3 cell (resolution 5) for Europe. First, we need to install the H3 lib:

What are some alternatives?

When comparing clean-architecture and h3-py you can also consider the following projects:

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

leafmap - A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

wild-workouts-go-ddd-example - Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.

geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

implementing-the-clean-architecture

BlenderGIS - Blender addons to make the bridge between Blender and geographic data

eventsourcing - A library for event sourcing in Python.

felicette - Satellite imagery for dummies.

domain-driven-hexagon - Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included

spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions