This release is a pre-release and may not be stable for production use.
HydroTrack - Python Framework for Tracking and Forecasting Clusters
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Overview
hydrotrack HydroTrack is a Python package designed to identify, track, analyze and forecast hydrological phenomena across a diverse range of datasets. It offers a robust modular framework that seamlessly integrates various cutting-edge algorithms for feature identification, tracking, and comprehensive analyses. One of HydroTrack’s paramount advantages lies in its remarkable versatility, which liberates it from any reliance on specific input variables or grid structures.
Documentation
For a more detailed information of hydrotrack package please read the user guide available click here.
Download package
Download package direct from github:
git clone https://github.com/hydrotrack-project/hydrotrack/
Instalation
Create a Python env using Anaconda3, Miniconda, Mamba, or etc.
Install env from environment.yml:
cd hydrotrack conda env create -n hydrotrack --file environment.yml conda activate hydrotrack
or install package from local file:
cd hydrotrack pip3 install -r requirements.txt
or just type:
pip3 install hydrotrack
Example of usage
Support and Contact
For support, email helvecio.neto@inpe.br, alan.calheiros@inpe.br
Release files for hydrotrack 1.4.0rc0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hydrotrack-1.4.0rc0.tar.gz | 26.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hydrotrack-1.4.0rc0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:56.2 kB
Release files / hydrotrack-1.4.0rc0.tar.gz
| Download URL | hydrotrack-1.4.0rc0.tar.gz |
|---|---|
| Size | 26.3 kB |
| Tags | Source |
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Release files / hydrotrack-1.4.0rc0-py3-none-any.whl
| Download URL | hydrotrack-1.4.0rc0-py3-none-any.whl |
|---|---|
| Size | 30.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
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