Reverse Dependencies of xarray

The following projects have a declared dependency on xarray:

• Cycles-utils — Python scripts to build Cycles input files and post-process Cycles output files
• cyclophaser — Determine phases from extratropical cyclone life cycle
• cyfi — Estimate cyanobacteria density in small, inland water bodies using Sentinel-2 satellite imagery.
• cythonarrays — cython cdef-class to facilitate numpy-arrays as attributes
• cyto-studio — napari viewer which can read multiplex images as zarr files
• dacapo-ml — Framework for deployment of volumetric machine learning models, and easy composition of training jobs.
• dallsporpoise — Lightweight fork of lkilchers dolfyn that parses corrupt 2019 vec files straight to netcdf.
• DaMa-ML — A framework for data management and is used to do data science and machine learning's pipelines
• damagescanner — Direct damage assessments for natural hazards
• damnit — The Data And Metadata iNspection Interactive Thing
• dantro — Handle, transform, and visualize hierarchically structured data
• daops — Dataset-Aware Operations.
• darts — A python library for easy manipulation and forecasting of time series.
• dascore — A python library for distributed fiber optic sensing
• dask-ms — xarray Dataset from CASA Tables
• dask-regionprops — Compute region properties using dask delayed and dataframe
• data-science-toolkit — Data Science Toolkit (DST) is a Python library that helps implement data science related project with ease.
• databird-driver-climate — Data sources for climate and atmospheric research.
• databroker — Unification of NSLS-II data sources
• datacube — An analysis environment for satellite and other earth observation data
• datacube-alchemist — Batch process Open Data Cube datasets
• datacube-ows — Open Data Cube Open Web Services
• datadrivenquadrature — no summary
• dataframe-handlers — A package for handling dataframes with optional backends.
• dataicer — Ice (save) your data and high level objects for use later.
• datalogs — Python package for logging data from scientific experiments.
• dataqruiser — A qruiser to qruise through your data
• datatoolbox — The Python Data Toolbox
• datav — Data visualization tools for Python.
• datide — no summary
• dclut — dclut: Dimensionally Clear Look-Up Table
• dCRE — Python package for CRE processing
• ddc-indices — Package for calculating meteorological indices
• ddc-utility — Client package for the DDC API.
• ddeq — Algorithms for data-driven detection and quantification of hot spot emissions in satellite observations.
• ddfrvn — A CLI tool for downloading and processing Daymet NetCDF files for the Raven hydrological modelling framework.
• ddr-analysis-tools — Package for data analysis tools
• ddsapi — Python Client to access and download data from CMCC Data Delivery System (DDS)
• dea-tools — Functions and algorithms for analysing Digital Earth Australia data.
• deafrica-tools — Functions and algorithms for analysing Digital Earth Africa data.
• decode — DESHIMA code for data analysis
• deep-time-series — Deep learning library for time series forecasting based on PyTorch.
• deepclimate — A deep learning framework for climate modelling and data analysis
• deepsardl — This is a main package for processeing data for DeepSAR
• deepsensor — A Python package for modelling xarray and pandas data with neural processes.
• deeptrees — Tree crown segmentation and analysis in remote sensing imagery with PyTorch
• delayed-image — The delayed_image module
• deltacd — Channel Depletions Model
• DeltaMetrics — Tools for manipulating sedimentologic data cubes.
• deltares-coastalhazardstoolkit — no summary
• demcmc — Differential Emission Measure calculations using Monte Carlo methods.
• demcompare — A tool to compare Digital Elevation Models
• demessaging — python module wrapper for the data analytics software framework DASF
• df-qc-tools — Package for easy datarequests from sensortings
• dfm-tools — dfm_tools are pre- and post-processing tools for Delft3D FM
• dgpost — datagram post-processing toolkit
• dianna — Deep Insight And Neural Network Analysis
• diasapi — Python Client Library for accessing CMCC data
• digirock — Flexible tool to create custom digital rock models.
• digisondeindices — Download and parse Digisonde data products.
• digitalarztools — Digital Arz tools for applications
• dimsm — dimsm: Kalman based dimension smoothing tool.
• dinosaur — Differentiable Dynamics for Global Atmospheric Modeling 🦖
• dinosaur-dycore — no summary
• discontinuitypy — A python package for identifying and analyzing discontinuities for time series data.
• discontinuum — Estimate discontinuous timeseries from continuous covariates.
• discretisedfield — Python package for the analysis and visualisation of finite-difference fields.
• disdrodb — This package provides tools to homogenize, process, and analyze global disdrometer data.
• divinepy — Diviner data tools
• diyepw — A package offering support for generating EPW (EnergyPlus Weather) files
• djs — A framework for varying model parameters and automating concurrent usage of the Wrf-hydro/National Water Model using Docker
• dl4ds — Deep Learning for empirical DownScaling
• dlong — Prototype framework for projected socio-economic climate damages
• dlotter — Quick and dirty static plots of NWP output
• dmlcloud — Distributed torch training using horovod and slurm
• dolfyn — Doppler Ocean Library for pYthoN.
• dolo — Economic Modeling in Python
• dolphin — Workflows for generating surface displacement maps using InSAR
• domaps — Python library for dynamic organellar maps
• domino-composite — A package for compositing atmospheric datasets
• doppy — no summary
• doppyo — Diagnostics and verification package
• download-toolbox — Library for downloading and preprocessing data
• dpkits — A small package for data processing
• drb-driver-discodata — DRB DISCODATA Driver
• drb-driver-grib — DRB GRIB driver
• drb-driver-image — DRB Image driver
• drb-driver-netcdf — DRB NetCDF Driver
• drb-impl-image — DRB Image implementation
• drb-impl-netcdf — DRB Netcdf implementation
• drcell — GUI to generate, cluster and optimize dimensionality reduction output
• drd — Make downloading digital rocks great again
• drilsdown — A collection of tools for jupyter notebooks
• droughtMoPro — Generator of drought monitoring products.
• dsbuilder — creating datasets, to specification
• dsbundle — Streamline your data science setup with dsbundle in one effortless install.
• dscim — Data-Driven Spatial Climate Impact Model core component code
• dtcv2-util — Library for workflow management
• dtscalibration — Load Distributed Temperature Sensing (DTS) files, calibrate the temperature and estimate its uncertainty.
• dtwhaclustering — Codes to perform Dynamic Time Warping Based Hierarchical Agglomerative Clustering of GPS data