Reverse Dependencies of netcdf4

The following projects have a declared dependency on netcdf4:

• ccres-disdrometer-processing — CCRES code to convert data
• ccres-weather-station — CCRES codes to convert weather data from text files to NetCDF files
• cdflib — A python CDF reader toolkit
• cdm_reader_mapper — Common Data Model reader and mapper toolbox
• cdo — python bindings to CDO
• CDSupdate — Auto-updater of data from the Climate Data Store
• cetk — CLAIRs Emission ToolKit cetk
• CFAPyX — The pure-Python implementation of the CF Aggregation conventions, including the Xarray engine to enable reading CFA-netCDF files.
• cfbuild — Used for generating netCDF files compliant with CF Conventions or ACDD
• cfchecker — The NetCDF Climate Forecast Conventions compliance checker
• cfmeta — Utility for processing CF metadata
• cfspopcon — Empirically-derived scoping of tokamak operational space.
• cgeniepy — A Python package to read, analyse and visualise cGENIE Earth System Model output
• cglbtest — cglbtest Framework
• cgls-cpe — This package is in the cgls cloud processing environment
• cgul — Python package which will be used to ensure consistent data format when working with Xarray type data objects.
• 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-bathymetry — no summary
• cht-meteo — no summary
• cima.goes — GOES-16 File Processing
• citycatio — CityCAT extension to create inputs and convert outputs
• climada — CLIMADA in Python
• climaf — CliMAF: a Climate Model Assessment Framework.
• climate-hurricane-analysis — A package for hurricane analysis using SST data.
• climate-learn — ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
• climateforcing — Climate-related tools that I use in my work, gathered in a single module
• climatePy — A Python package for getting point and gridded climate data by AOI.
• climdex-kit — Tool for multi-scenario calculation, publishing, and analysis of indices from 3D time-series of climate projections.
• climetlab — Handling of climate/meteorological dataa.
• climkern — no summary
• climpred — """Verification of weather and climate forecasts and prediction."""
• climsight — no summary
• clisops — CLISOPS - Climate simulation operations.
• clonedetective — A python package for the scalable analysis of fluorescent imaging data from lineage tracing experiments.
• cloudbandPy — A Python package for atmospheric cloud bands detection.
• clouddrift — Accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences
• cloudnetme — Python package for cloudnet model evaluation processing
• cloudnetpy — Python package for Cloudnet processing
• cloudnetpy-qc — Quality control routines for CloudnetPy products
• cloudsat-object-manipulation — This package contains a set of packages and command line plugins that can identify indidual cloud objects along CloudSat's orbit and their associated properties (i.e. cloud type, size, precipitating)
• cmemsapi — A package to help generating reliable data requests about earth observation and marine related information from Copernicus Marine Database.
• cmfd-handler — no summary
• cmip6-aws — download data from NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)
• cmpdata — Package for handling CMIP6 data
• COAsT — This is the Coast Ocean Assessment Tool
• coastalimagelib — Package for creating coastal image products.
• compliance-checker — Checks Datasets and SOS endpoints for standards compliance
• ConTrack — Contour Tracking of circulation anomalies in Weather and Climate Data.
• convml-data — Dataset creation for neural network classification of clouds
• convml-tt — Neural Network based study of convective organisation
• copernicus-marine-client — no summary
• cord — Coupled RipCAS-DFLOW for Vegetation and Hydrology of Streams
• cosipymodel — Coupled snowpack and ice surface energy and mass balance model in Python.
• cotede — Quality Control of Oceanographic Data
• coupling-metrics — Calculate various state-of-the-art land-atmosphere coupling metrics
• CPTtool — CPT tool for the OURS model
• crl-datacube — Utilities for scaling geospatial analyses
• crspy — Toolbox for calibration and correction of Cosmic Ray Neutron Sensor data using globally available data sources
• crusty — A convinience python package for HPC computation, large dataset handling and plotting.
• ctd-tools — Read, convert, and plot CTD data of Seabird CNV files.
• curp — Inter-residue Current calculation in Proteins from MD trajectory
• cygnsslib — Toolset for working with CYGNSS data and downloading CYGNSS data from PODAAC
• d-geolib-plus — GEOLib+ components
• DADMSPeakSolver — Program for the automated analysis and sample selection of high-throughout LC-DAD-MS data.
• dallsporpoise — Lightweight fork of lkilchers dolfyn that parses corrupt 2019 vec files straight to netcdf.
• daops — daops - data-aware operations
• databird-driver-climate — Data sources for climate and atmospheric research.
• datacube — An analysis environment for satellite and other earth observation data
• datalogs — Python package for logging data from scientific experiments.
• DC-OCEAN — DC_OCEAN: An algorithm to detect the ocean in-situ duplicate profiles (Song et al., 2024, FMS)
• ddeq — Algorithms for data-driven detection and quantification of hot spot emissions in satellite observations.
• ddr-analysis-tools — Package for data analysis tools
• ddsapi — Python Client to access and download data from CMCC Data Delivery System (DDS)
• deepclimate — A deep learning framework for climate modelling and data analysis
• deepsardl — This is a main package for processeing data for DeepSAR
• delft3dfmpy — Top-level package for delft3dfmpy.
• deltacd — Channel Depletions Model
• DeltaMetrics — Tools for manipulating sedimentologic data cubes.
• deltares-coastalhazardstoolkit — no summary
• demalos — ALOS 30 m downloader/subsetter
• demcmc — Differential Emission Measure calculations using Monte Carlo methods.
• desc-opt — Computes, analyzes and optimizes 3D MHD equilibria for stellarators and tokamaks
• dfm-tools — dfm_tools are pre- and post-processing tools for Delft3D FM
• diagonals — Compute diagnostics targeting the CPU or the GPU
• diasapi — Python Client Library for accessing CMCC data
• digisondeindices — Download and parse Digisonde data products.
• dimarray — numpy array with labelled dimensions and axes, dimension, NaN handling and netCDF I/O
• DINCAE — DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations
• disdrodb — This package provides tools to homogenize, process, and analyze global disdrometer data.
• djs — A framework for varying model parameters and automating concurrent usage of the Wrf-hydro/National Water Model using Docker
• dmtmetlib — Metocean portal library
• doe-dap-dl — Packages for Jupyter Notebook users to interact with data from A2e, Livewire, and the SPP data platform.
• dolfyn — Doppler Ocean Library for pYthoN.
• doppy — no summary
• doppyo — Diagnostics and verification package
• dpgen — DP-GEN: The deep potential generator
• dpm-tools — A collection of tools and workflows to streamline the processing and visualization of porous media images.
• drb-driver-netcdf — DRB NetCDF Driver
• drb-impl-netcdf — DRB Netcdf implementation
• drepr — Data Representation Language for Reading Heterogeneous Datasets