matplotcli
Create matplotlib visualizations from the command-line (by dcmoura)
h3-py
Python bindings for H3, a hierarchical hexagonal geospatial indexing system (by uber)
| matplotcli | h3-py | |
|---|---|---|
| 2 | 1 | |
| 50 | 772 | |
| - | 2.1% | |
| 0.0 | 6.8 | |
| about 2 years 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.
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.
matplotcli
Posts with mentions or reviews of matplotcli.
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
Notice the pretty printing output. We can plot the above results by setting the output format to JSON and piping results into MatplotCLI:
- Show HN: Create Matplotlib visualizations from the command-line
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
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 matplotcli and h3-py you can also consider the following projects:
leafmap - A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
clean-architecture - Example project showing off clean/hexagonal architecture concepts in Python
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
felicette - Satellite imagery for dummies.
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
cheatsheets - Official Matplotlib cheat sheets