Reverse Dependencies of xarray

The following projects have a declared dependency on xarray:

• 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.
• chainopy — A Python Library for Markov Chain based Stochastic Analysis!
• chap-core — Climate Health Analysis Platform (CHAP)
• charon-vna — RF Network Analyzer based on the Pluto SDR
• CheckmateSample — A sample project with checkerboard functionality
• 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.
• cherab-lhd — Cherab spectroscopy framework: LHD machine configuration
• chi-drm — Package to model dose response dynamics
• chombopy — Running, analysing and plotting Chombo simulations
• chromas — A tool for the computational analysis of chromatophore activity.
• cht-bathymetry — no summary
• cht-cyclones — no summary
• cht-hurrywave — no summary
• cht-meteo — Downloading meteorological data from various sources
• cht-sfincs — no summary
• cht-tiling — CHT Tiling is a package to create and use slippy tiles (xyz)
• cht-utils — no summary
• cimiss-python — A CIMISS client for python
• circrl — Tools for applying circuits-style interpretability techniques to RL agents.
• ciso — Create isosurfaces from 2D or 3D arrays
• CITIfile — To parse CITI format file to xarray.
• cjfx — A module for common functions optimised for data scientists that need to code repeatitive tasks fast
• climada — CLIMADA in Python
• climalysis — A comprehensive toolkit for climate impact analysis.
• climate-assessment — Climate assessment of long-term emissions pathways: IPCC AR6 WGIII version
• climate-hurricane-analysis — A package for hurricane analysis using SST data.
• climate-indices — Reference implementations of various climate indices typically used for drought monitoring
• climate-learn — ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
• climate-library — A library for calculating climate indices
• climatePy — A Python package for getting point and gridded climate data by AOI.
• climetlab — Handling of climate/meteorological dataa.
• climeval — Climate Model vs. Observation Comparison Tool
• Climind — A python package for managing climate indicator information
• climkern — no summary
• climopy — A data analysis toolkit for climate scientists.
• climpred — """Verification of weather and climate forecasts and prediction."""
• climpy — Tools to analyse climate data for machine learning and event analysis
• climsight — A tool that combines LLMs with climate data to provide localized insights for decision-making in agriculture, urban planning, disaster management, and policy development.
• clisops — CLISOPS - Climate simulation operations.
• clonedetective — A python package for the scalable analysis of fluorescent imaging data from lineage tracing experiments.
• clouddrift — Accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences
• 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)
• Clumsy — A collection of scripts used in the Computational Memory Lab for timeseries analysis
• cmaqsatproc — Processor to grid satellite data for comparison to CMAQ.
• cmdstanpy — Python interface to CmdStan
• cmemsapi — A package to help generating reliable data requests about earth observation and marine related information from Copernicus Marine Database.
• cmip-basins — Generate CMIP-style ocean basin masks
• cmip_ref_metrics_esmvaltool — ESMValTool metrics provider for the CMIP Rapid Evaluation Framework
• cmip_ref_metrics_example — Example metrics provider for the CMIP Rapid Evaluation Framework
• cmip6-aws — download data from NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)
• cmip6-downscaling — Climate downscaling using cmip6 data
• cmip6-preprocessing — Analysis ready CMIP6 data the easy way
• cmomy — Central (co)moment calculation/manipulation
• cmpdata — Package for handling CMIP6 data
• COAsT — This is the Coast Ocean Assessment Tool
• coastalimagelib — Package for creating coastal image products.
• cobwood — Python package that implements a Cobweb version of the Global Forest Trade Model
• coclico — Python tools for Coastal Climate Core Services
• coconut — Simple, elegant, Pythonic functional programming.
• coconut-develop — Simple, elegant, Pythonic functional programming.
• codpy — An RKHS based module for numerics, statistic and machine learning
• coiled-runtime — Simple and fast way to get started with Dask
• coilpy — Plotting and data processing tools for plasma and coil
• coloc-sat — no summary
• columnflexpart — no summary
• common-regression-issues — A repo to store information about and simulations of common regression issues
• ComponentVis — Package to visualise component-based decomposition models such as PCA and PARAFAC
• conformer-qc — Molecular geometry library
• 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
• coola — Library to check equality between two complex/nested objects
• copernicus-marine-client — no summary
• copernicusmarine — Command line interface and Python API for accessing Copernicus Marine data and related services.
• copro — Python-model build on scikit-learn functions, designed to facilitate the set-up, execution, and evaluation of machine-learning models for the study of the climate-conflict nexus.
• coronagraphoto — A python library to simulate coronagraphic observations of exoplanets.
• cosipymodel — Coupled snowpack and ice surface energy and mass balance model in Python.
• cotede — Quality Control of Oceanographic Data
• coucal — Statistical analysis tools for meteorological and climate data.
• coupling-metrics — Calculate various state-of-the-art land-atmosphere coupling metrics
• covjsonkit — ECMWF library for encoding and decoding coerageJSON files/objects of meteorlogical features such as
• cpc.geofiles — CPC geospatial file interaction (reading, writing, etc.)
• CPyS — A python package from compute the Hart Cyclone Phase Space parameters
• crl-datacube — Utilities for scaling geospatial analyses
• croparray — Python module for for creating and manipulating an array of crops (or regions of interest) from images obtained using single-molecule microscopy.
• cropharvest — Open source remote sensing dataset with benchmarks
• 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.
• cryoforge — Metadata genrator for ITS_LIVE velocity scenes
• cryogrid-pytools — Tools to read in CryoGrid MATLAB data to Python and create forcing data
• cryoswath — Swath processing toolbox for CryoSat-2
• crypto-history — crypto_history is a python package for extracting history of crypto-currencies from various exchanges and presenting them in a tabular data-format
• ctd-processing — Custom CTD processing tools and a runner to use these interchangeable with the standard seabird modules.
• ctd-tools — Read, convert, and plot CTD data of Seabird CNV files.
• ctdproc — Library for CTD data processing
• cubed-xarray — Interface for using cubed with xarray for parallel computation.
• cubedsphere — Library for post processing of MITgcm cubed sphere data
• cupy-xarray — Interface for using cupy in xarray, providing convenience accessors.
• cusfpredict — CUSF Predictor Wrapper & GFS Downloader