h3-py VS clean-architecture

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

h3-py

Python bindings for H3, a hierarchical hexagonal geospatial indexing system (by uber)
Uber Python hexagonal-architecture h3 Geospatial Geocoding Gis
Source Code
uber.github.io
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clean-architecture

Example project showing off clean/hexagonal architecture concepts in Python (by Enforcer)
Python Ddd clean-architecture hexagonal-architecture
Source Code
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h3-py clean-architecture
1 1
763 481
1.6% -
6.6 0.0
1 day ago over 1 year ago
Python Python
Apache License 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.

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:

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.

What are some alternatives?

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

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

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

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

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

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

implementing-the-clean-architecture

felicette - Satellite imagery for dummies.

eventsourcing - A library for event sourcing in Python.

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

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

matplotcli - Create matplotlib visualizations from the command-line

opentable - Clean architecture python application sample, with domain layer protected

h3-py vs leafmap clean-architecture vs awesome-python h3-py vs geemap clean-architecture vs wild-workouts-go-ddd-example h3-py vs BlenderGIS clean-architecture vs implementing-the-clean-architecture h3-py vs felicette clean-architecture vs eventsourcing h3-py vs spyql clean-architecture vs domain-driven-hexagon h3-py vs matplotcli clean-architecture vs opentable