Reverse Dependencies of xarray

The following projects have a declared dependency on xarray:

• questplus — A QUEST+ implementation in Python.
• qupulse-mfli — no summary
• qutech-util — Utility package of the Quantum Technology group of RWTH Aachen
• ra2ce — Risk Assessment and Adaptation for Critical infrastructurE (RA2CE).
• radarx — Xarray based radar toolkit
• radas — Plasma radiated power calculated using OpenADAS
• RadTraQ — Python package for weather radar quality tracking
• rai-toolbox — PyTorch-centric library for evaluating and enhancing the robustness of AI technologies
• ramantools — Tools for analyzing Raman spectroscopy data, measured by a Witec confocal Raman microscope.
• rankeval — Tool for the analysis and evaluation of Learning to Rank models based on ensembles of regression trees.
• ras-commander — A Python library for automating HEC-RAS 6.x operations
• rascal-ties — Open-source tool for climatological time series reconstruction and extension
• rashdf — Read data from HEC-RAS HDF files.
• raster — A small package for raster analysis
• raster-basics — Basic GeoTIFF Processing
• raster-tools — Tools for processing geospatial data
• rasteret — Fast and efficient access to Cloud-Optimized GeoTIFFs (COGs)
• rastervision-core — A rastervision plugin that adds geospatial machine learning pipelines
• Rat — Resevoir Monitoring using Satellite Remote Sensing
• raven-framework — RAVEN (Risk Analysis Virtual Environment) is designed to perform parametric and probabilistic analysis based on the response of complex system codes. RAVEN C++ dependenciences including a library for computing the Approximate Morse-Smale Complex (AMSC) and Crow probability tools
• ravenpy — A Python wrapper to setup and run the hydrologic modelling framework Raven.
• rayflare — Python-based integrated optical modelling
• RCAEval — RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems
• rcatool — The Regional Climate Analysis Tool (RCAT), is a tool to calculate and visualize weather and climate model statistics.
• rdata — Read R datasets from Python.
• readDiag — Read and plot GSI diagnostics files
• rebop — A fast stochastic simulator for chemical reaction networks
• rechunker — A library for rechunking arrays
• recursive-diff — Recursively compare two Python data structures
• redplanet — User-friendly accessors/calculations/plotting for various Mars datasets and derived geophysics quantities.
• reference-spectra — no summary
• reflectance — Package to manipulate reflectance data
• regional-mom6 — Automatic generation of regional configurations for Modular Ocean Model v6
• regionmask — create masks of geospatial regions for arbitrary grids
• regridcart — lat/lon and local-cartesian regridding
• reki — A data preparation tool for CEMC/CMA.
• replay-classification — Non-parametric categorization of replay content from multiunit spiking activity
• replay-identification — Identify non-local events using multiple information sources
• replay-trajectory-classification — Classify replay trajectories.
• respace — ReSpace
• restee — Python package to call processed EE objects via the REST API to local data
• result-caching — Cache results for re-use
• rf-hypersonic-emissions — Calculate the radiative forcing of hypersonic aircraft trajectories.
• rhg-compute-tools — Tools for using compute.rhg.com and compute.impactlab.org
• rhkpy — A python package for processing Scanning Tunneling Microscopy (STM) data from RHK, based on the spym project.
• rigid-body-motion — Python utilities for estimating and transforming rigid body motion.
• rio-tiler — User friendly Rasterio plugin to read raster datasets.
• rioxarray — geospatial xarray extension powered by rasterio
• ripple1d — HEC-RAS model automation
• risus-py — Compute outcome probabilities for Risus: The Anything RPG
• river-route — Perform river routing computations on large river networks
• riversand — Catchmentwide erosion rate calculator
• RMK-support — Python modules and notebooks used to initialize and analyze ReMKiT1D runs
• rna2seg — A generalist model for cell segmentation in image-based spatial transcriptomics
• robustraster — Running user-defined functions on large datasets via out-of-core computation simplfied.
• rockhound — Download geophysical models and load them as Python data structures.
• roger — Runoff Generation Research - a process-based hydrological toolbox model in Python
• roguewave — Python package to interact with Sofar wave data
• roguewavespectrum — Python package that implements a spectral object for ocean surface gravity waves
• rompy — Relocatable Ocean Modelling in PYthon (rompy)
• roms-tools — Tools for running and analysing UCLA-ROMS simulations
• roocs-grids — Grid definitions for the roocs regridder.
• roocs-utils — A package containing common components for the roocs project
• routing-helper — Helper functions for sail_route.jl
• rsclimatelab — A project focused on climate data and tooling for Rio Grande do Sul in Brazil.
• rt1 — RT1 - bistatic single scattering radiative transfer model
• rtdip-sdk — no summary
• ruins-app — Climate change and uncertainty explorer
• rws-ddlpy — Service from Rijkswaterstaat for distributing water quantity data.
• rwskit — Utility methods I've found useful.
• s11-classifier — Classifier
• s2shores — A python library for estimating coastal bathymetry
• s2spy — python package for s2s forecasts with ai
• s2stac — Create a STAC from local S2 data.
• s2stools — Tools for working with s2s forecast data
• saber-hbc — The SABER tool for bias correcting large hydrologic models
• sacpy — A repaid Statistical Analysis tool for Climate or Meteorology data.
• sage3reader — A python reader for SAGE III and SAGE III ISS L2 solar binary files
• salem — Geoscientific data I/O and map projections
• salientsdk — Salient Predictions Software Development Kit
• sandplover — Tools for manipulating sedimentologic data cubes.
• sarsen — Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors
• sarwaveifrproc — Python library to generate Level-2 WAVE Product starting from Ifremer Level-1B or Level-1C SAR files
• sarxarray — Xarray extension for Synthetic Aperture Radar (SAR) data
• sasktran2 — The SASKTRAN radiative transfer model Version 2
• satalign — Methods for spatial alignment of satellite imagery
• satcube — A Python package to create cloud-free monthly composites by fusing Landsat and Sentinel-2 data.
• satellitetools — Retrieve Sentinel-2 data and calculate biophysical parameters
• satip — Satip provides the functionality necessary for
• satpy — Python package for earth-observing satellite data processing
• satsync — Methods for spatial alignment of satellite imagery
• sax — Autograd and XLA for S-parameters
• sbmlsim — sbmlsim are utilities for simulation of SBML.
• scahpy — Package to process and analyze outputs from IGP-RESM-COW model
• sceua — Parameter calibration using Shuffle Complex Evolution algorithm.
• schimpy — Python package for SCHISM
• sciapy — Python tools for (some) SCIAMACHY data
• scidx-streaming — A Python client library for interacting with the scidx POP and create streams.
• scikit-diveMove — Python interface to R package diveMove
• scikit-downscale — Statistical downscaling and postprocessing models for climate and weather model simulations.