ipme VS EOmaps

Compare ipme vs EOmaps and see what are their differences.

ipme

An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer". (by evdoxiataka)
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ipme EOmaps
1 11
24 314
- -
0.0 9.8
over 1 year ago 2 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" 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.

ipme

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

EOmaps

Posts with mentions or reviews of EOmaps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-11.

What are some alternatives?

When comparing ipme and EOmaps you can also consider the following projects:

deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Cartopy - Cartopy - a cartographic python library with matplotlib support

uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

mapa - Create 3d-printable STLs from satellite 🌍 elevation data

surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

mundipy - mundipy is a Python framework for spatial data manipulation

WKTPlot - Visualization library for well-known-text strings and shapely geometries.

prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

mapshaper - Tools for editing Shapefile, GeoJSON, TopoJSON and CSV files

30DayMapChallenge - Official repo for the #30DayMapChallenge data visualization project. Open to everyone!

matplotlib - matplotlib: plotting with Python

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