Reverse Dependencies of siphon

The following projects have a declared dependency on siphon:

• ashdisperse — Steady state advection-diffusion-sedimentation solver for volcanic ash dispersion
• asset-scanner — Framework to provide plugin architecture to allow the scanning of assets to extract metadata and facets.
• birdhouse-finch — A Web Processing Service for Climate Indicators.
• chelsa-cmip6 — This package contains function to create monthly high-resolution climatologies for a selected geographic area for min-, max-, and mean temperature, precipitation rate and bioclimatic variables from anomalies and using CHELSA V2.1 as baseline high resolution climatology. Only works for GCMs for which tas, tasmax, tasmin, and pr are available.
• cht-meteo — no summary
• deltares-coastalhazardstoolkit — no summary
• frontpy — FrontPy is a Python package designed for the detection and analysis of atmospheric fronts. It uses the Thermal Front Parameter (TFP) method to identify cold and warm fronts. The package also includes visualization capabilities, allowing users to plot the identified fronts over GOES-16 satellite imagery.
• icesat2waves — Tools to analyze wave tracks using icesat2 data
• intake-thredds — Intake interface to THREDDS data catalogs.
• jupyterlab-thredds — A Jupyter Notebook server extension which crawls a thredds catalog
• libinsitu — This library provides tools to transform solar irradiation data from various networks to uniform NetCDF files. It also provides tools to request and manipulate those NetCDF files
• model-catalogs — Catalogs for known models
• solarhouse — package for calculate solar power what you can get on surfaces of building by solar heat collectors
• sounderpy — Vertical Profile Data Retrieval and Analysis Tool For Python
• stac-generator — Framework to provide plugin architecture to allow the scanning of assets to extract metadata and facets.
• tsgettoolbox — Will get time series from different sources on the internet
• weather-forecast-retrieval — Weather forecast retrieval gathers relevant gridded weather forecasts to ingest into physically based models for water supply forecasts
• yodapy — Your Ocean Data Access in Python