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Package Usage: pypi: pyaps3

Python based Atmospheric Phase Screen estimation
3 versions
Latest release: over 1 year ago
1 dependent package
190 downloads last month

View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/pyaps3

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/insarlab%2FPyAPS

Dependent Repos 11

debian-gis-team/mintpy
Packaging of mintpy
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Last synced: 12 months ago

yuankailiu/2022-BulkMotion
Notebooks for Stephenson et al. (2022) on correcting InSAR bulk plate motion
  • * requirements.txt

Size: 182 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

bbuzz31/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.8 MB - Last synced: 9 months ago - Pushed: 9 months ago

avalentino/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.9 MB - Last synced: 17 days ago - Pushed: 18 days ago

AmazingSAR/MintPy
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 67.1 MB - Last synced: over 1 year ago - Pushed: almost 2 years ago

mirzaees/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.7 MB - Last synced: 2 months ago - Pushed: 2 months ago

insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.7 MB - Last synced: about 7 hours ago - Pushed: 1 day ago

yjzhenglamarmota/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.6 MB - Last synced: 8 months ago - Pushed: 8 months ago

yunjunz/MintPy Fork of insarlab/MintPy
Miami InSAR Time-series software
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.6 MB - Last synced: 6 days ago - Pushed: 6 days ago

EJFielding/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.6 MB - Last synced: 7 months ago - Pushed: 7 months ago

yuankailiu/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.8 MB - Last synced: about 1 month ago - Pushed: about 1 month ago

007gzs/test
  • * requirements.txt

Size: 1.6 MB - Last synced: 5 months ago - Pushed: 5 months ago

yunjunz/2022-Geolocation
Notebooks for Yunjun et al. (2022) on SAR Range Geolocation
  • * requirements.txt

Size: 45.7 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

shiney-spandana/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.5 MB - Last synced: 9 months ago - Pushed: 9 months ago

gracebato/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • * docs/requirements.txt
  • * setup.py

Size: 75.9 MB - Last synced: about 1 month ago - Pushed: over 2 years ago

jwzs/MintPy Fork of insarlab/MintPy
Miami InSAR time-series software in Python
  • >=0.3 requirements.txt
  • >=0.3 setup.py

Size: 77.5 MB - Last synced: about 1 month ago - Pushed: 9 months ago

timlinux/wolfgang
R&D Repo for Wolfgang
  • >=0.3 requirements.txt

Size: 302 KB - Last synced: 28 days ago - Pushed: 28 days ago

GrainLearning/grainLearning
A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).
  • ==0.3.1 grainlearning/rnn/trained_models/rnn_triaxial_drained/requirements.txt
  • ==0.3.1 grainlearning/rnn/trained_models/rnn_triaxial_drained+e0/requirements.txt
  • ==0.3.1 grainlearning/rnn/trained_models/rnn_triaxial_undrained/requirements.txt
  • ==0.3.1 grainlearning/rnn/trained_models/rnn_triaxial_undrained+e0/requirements.txt

Size: 135 MB - Last synced: 21 days ago - Pushed: 21 days ago

ITC-Water-Resources/itc-hydrafloods-2024
Tutorials for ITC Course Observing and quantifying surface water in a changing world
  • ==0.3.1 requirements.txt

Size: 6.42 MB - Last synced: about 1 month ago - Pushed: about 1 month ago