Reverse Dependencies of netcdf4

The following projects have a declared dependency on netcdf4:

• a2 — Package for predicting information about the weather from social media data as application 2 for maelstrom project
• aa-toolbox — Toolbox for anticipatory action
• abses — ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets and fully incorporate human behaviour.
• access-med-utils — ACCESS MED Utilities
• accessvis — 3D visualisation tools and utilities for earth systems data
• acgc — A collection of data analysis programs used by the Atmospheric Chemistry and Global Change (ACGC) research group
• acom-music-box — An atmospheric chemistry box model. Powered by MUSICA.
• acs-axiom — A prototype utility for validating/applying metadata templates for scientific data.
• adc-compliance-checker — ADC Compliance Checker
• adcirc-rom — Add a short description here!
• AdcircPy — Python package for working with ADCIRC input and output files
• adcpreader — A python module to access binary data files generated by RDI ADCPs
• Adhesion — Surface forces in contact calculations
• ADVECTOR — A computationally efficient and massively parallel marine litter transport model
• aec6s — Adjacency-effect correction following the Vermote et al. 1997 approach
• AeoLiS — A process-based model for simulating supply-limited aeolian sediment transport
• afloat — A Fairly useful Library of Ocean Analysis Tools
• AgenciBr — Package to work with data from brazilian agenci
• aggfly — Efficient spatial and temporal aggregation of gridded climate data
• aglio — Another Geodata Library for Input/Output (and more)
• AI-WQ-package — A python package to support forecast submission, evaluation and access to FTP site for DESTIN-E S2S AI prediction project
• ai2-kit — no summary
• aiida-flexpart — AiiDA plugin for the FLEXPART code (simulation of atmospheric transport processes).
• aiida-yambo — YAMBO plugin and workflows for AiiDA
• airfuse — airfuse provides several data fusion techniques designed to work with AirNow, PurpleAir, NOAA's Air Quality Forecast and NASA's Composition Forecast.
• amdapy — AMDA python package
• andvaranaut — Predictive modelling and UQ suite.
• anemoi-graphs — A package to build graphs for data-driven forecasts.
• animal-classification — classification of animals using machine learning models
• anuga — A set of python modules for tsunami and flood modelling
• aospy — Automated gridded climate data analysis and management
• apecosm — Python package for the analysis of Apecosm outputs
• apixwaves — Python library to compute cross spectra from SAR image
• aprofiles — Analysis of atmospheric profilers measurements
• aragog — 1-D interior dynamics of rocky mantles that are solid, liquid, or mixed phase
• argopandas — Locate, Download, and Read Argo Ocean Float Data
• argopy — A python library for Argo data beginners and experts
• arpes — Modular data analysis code for angle resolved photoemission spectroscopy (ARPES)
• arraylake — Python client for ArrayLake
• artssat — High-level simulation and retrieval framework for microwave and IR remote sensing.
• arviz — Exploratory analysis of Bayesian models
• arviz-base — Base ArviZ features and converters.
• arviz-stats — Statistical computation and diagnostics for ArviZ.
• asf-snow — Snow depths calculation
• ashdisperse — Steady state advection-diffusion-sedimentation solver for volcanic ash dispersion
• assetra — ASSET Lab Resource Adequacy Package
• atlite — Library for fetching and converting weather data to power systems data
• atmodata — A collection of high performant data loading tools for spatio-temporal ML based on torchdata
• atmos-validation — A python library containing automated data validation tools for the Atmos Data Service
• atmospheric_lidar — Package for reading raw atmospheric lidar data.
• atmoswing-vigicrues — Package to integrate AtmoSwing in the Vigicrues network.
• auDeep — auDeep is a Python toolkit for unsupervised feature learning with deep neural networks (DNNs)
• audioclass — A Python package providing a common interface for running machine learning models for audio classification tasks.
• awsgnssroutils — Utilities for access and manipulation of GNSS radio occultation in the AWS Registry of Open Data
• b4r — Reduction and analysis tools for LMT/B4R
• b4rpipe — Pipeline reduction tools for B4R (2mm heterodyne reciver) on LMT 50m @Mexico
• banet — A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
• bas-apres — Package for working with BAS ApRES files
• bas-gloria — Package for working with GLORIA side-scan sonar files
• basemap — Plot data on map projections with matplotlib
• basinex — A basin extractor.
• basininflow — Calculates time series of runoff for basins from gridded runoff LSM data
• baysalt — Some simple tools for baysalt
• baysalt-christmas — Some simple tools for Christmas
• BCO — Python Interface to the Max-Planck-Institute Barbados Cloud Observatory data.
• beaker-climate — no summary
• beanmachine — Probabilistic Programming Language for Bayesian Inference
• biotraj — Basic trajectory file format functionality for Biotite; forked from MDTraj
• birdhouse-birdy — Birdy provides a command-line tool to work with Web Processing Services.
• birdhouse-finch — A Web Processing Service for Climate Indicators.
• BiteAWX — For reading AWX format data.
• blenderize — loading CMCC mesh on blender
• blendernc — Blender add-on to import datasets (netCDF, grib, and zarr)
• blobmodel — Two dimensional model of propagating blobs
• bluemath-tk — Module collection for custom climate data analysis. The main objective of this Python package is to provide a set of statistical tools tailored for climate data analysis, with a focus on statistical classification and prediction.
• bmi-era5 — BMI implementation for ERA5 data https://confluence.ecmwf.int/display/CKB/ERA5
• bmi-nwis — BMI implementation for datasets from National Water Information System https://waterdata.usgs.gov/nwis?
• bmi-roms — BMI implementation for ROMS model data https://www.myroms.org/
• boilercv — Computer vision routines suitable for nucleate pool boiling bubble analysis
• bolides — A package to analyze bolide data
• bolides-bounding-box — A package to get bounding box images from GOES satellites.
• boost-histogram — The Boost::Histogram Python wrapper.
• boutpy — Common python2.x toolkits for BOUT++ project
• boututils — Python utilities for BOUT++
• bpnsdata — A package to add marine environmental data to a geopandas dataframe
• brainscore-brainio — Data management for quantitative comparison of brains and brain-inspired systems
• bronx — Bunch of Reusable Objects Not in vorteX.
• buoy-tracking — no summary
• c3s-sm — Readers and utilities for working with C3S Soil Moisture data
• CADS — Python Package to add new download services to Copernicus and make easier managing voluminous data requests.
• calliope — A multi-scale energy systems modelling framework.
• carbonplan-forest-risks — forest carbon potential and risks
• carbonplan-forests — forest carbon potential and risks
• carpet-concentrations — Core tools for the development of greenhouse gas concentration input files (i.e. flying carpets).
• cars — A satellite multi view stereo pipeline
• cavapy — CAVA Python package. Retrive and analyze climate data.
• cc-plugin-ugrid — UGRID plugin for the IOOS Compliance Checker Plugin
• ccfx — Your package description here
• cchdo.hydro — no summary
• ccic — Chalmers Cloud Ice Climatology