A Python package for Reeb graphs
Project description
ceREEBerus
ceREEBerus is a Python package that allows you to perform various operations and analysis on Reeb graphs. The main goal of this package is to implement the available theoretical work on the Reeb graph interleaving distance and its variants for use in applied and machine learning contexts.
Features
- Generate Reeb graphs from input data
- Visualize Reeb graphs in a clear and intuitive way
- Perform topological analysis on Reeb graphs
- Extract critical points and features from Reeb graphs
- Apply various algorithms and techniques to analyze Reeb graphs
Installation
You can either update the latest version from pip using
pip install cereeberus
or to work with the most up to date version, you can clone the repo and install with
git clone git@github.com:MunchLab/ceREEBerus.git
cd ceREEBerus
pip install .
Documentation
Find the documentation for ceREEBerus here.
Collaborators
The code is a compilation of work done by Elizabeth Munch with her research group and collaborators. People who have contributed to ceREEBerus include:
Contact Information
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file cereeberus-0.1.5.tar.gz
.
File metadata
- Download URL: cereeberus-0.1.5.tar.gz
- Upload date:
- Size: 48.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c591458008c9ac3a9ae427bd45e17e951244b7732738c2649a222630e35ca363 |
|
MD5 | 2ec16fc932a9f593e651d4ceb6af06fb |
|
BLAKE2b-256 | 8f5c95dc1fa5455f47961b90f163b26d975378a6c899bad3b58feeaabb8c07c7 |
File details
Details for the file cereeberus-0.1.5-py3-none-any.whl
.
File metadata
- Download URL: cereeberus-0.1.5-py3-none-any.whl
- Upload date:
- Size: 52.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9413a457ba8d61a270b8a9b43c9fdd24649308c478b6f39ab8807fb437ce6f7c |
|
MD5 | 975edd6600def655dafa1434323aadc6 |
|
BLAKE2b-256 | 02a7e6b50eb208b0415622c6b68e16fd76568ec668c7aa69322f6625c335751b |