Reverse Dependencies of xarray
The following projects have a declared dependency on xarray:
- turbopy — A lightweight computational physics framework, which implements a "Simulation, PhysicsModule, ComputeTool" class hierarchy.
- tvb-contrib — A package with TVB contributed additions to the simulator, useful for scripting.
- twind — Twind: TIGRESS Wind Launching Model and Sampler
- twinotter — Software for working with data from the BAS twin otter
- twodlearn — Easy development of machine learning models
- TXM-Sandbox — Integrated Spectro-Imaging Analysis Toolbox
- typhon — Typhon is a collection of tools for atmospheric research.
- tz-osemosys — An OSeMOSYS implementation for the Future Energy Outlook by TransitionZero
- u8darts — A python library for easy manipulation and forecasting of time series.
- uamutils — Python interface to Upper Atmosphere Model (UAM) binary data format
- uclales-utils — UCLALES utilities
- ufs-pyutils — Python Toolbox of API used for UFS applications.
- ufs2arco — Tools for converting Unified Forecast System (UFS) output to Analysis Ready, Cloud Optimized (ARCO) format
- unmap — Unmap data from pseudocolor images.
- uscrn — Load `U.S. Climate Reference Network <https://www.ncei.noaa.gov/access/crn/>`__ (USCRN) data.
- ussa1976 — The U.S. Standard Atmosphere 1976 model.
- uuv-mission-simulator — A UUV ocean data collection mission simulator based on an ocean model (ROMS)
- uuvmissionsim — A UUV ocean data collection mission simulator based on an ocean model (ROMS)
- uwnet — PyTorch training code for climate modeling
- uxarray — Xarray-styled package for reading and directly operating on unstructured grid datasets following UGRID conventions
- va-am — VA-AM method implementation
- vaex-jupyter — Jupyter notebook and Jupyter lab support for vaex
- ValEnsPy — A Python package to validate gridded model data.
- veranda — veranda is a place for IO related classes and operations dealing with multi-dimensional vector and raster data.
- verde — Processing and gridding spatial data, machine-learning style
- veropt — Bayesian Optimisation for the Versatile Ocean Simulator (VEROS)
- veros — The versatile ocean simulator, in pure Python, powered by Bohrium.
- vhr-cloudmask — Deep learning pipeline to cloud mask VHR imagery
- vhr-composite — Very high resolution (VHR) Composite Tool
- views-transformation-library — A package containing data transformation functions used by the ViEWS team
- viirs-tools — Python library for processing VIIRS data
- viresclient — A Python client for interacting with a VirES server
- virtual-ecosystem — An holistic ecosystem simulation model.
- virtualizarr — Create virtual Zarr stores from archival data using xarray API
- viscy — computer vision for image-based phenotyping of single cells
- vivaldi-a — Visualization Validation and Diagnostics for Atmospheric chemistry
- vivs — Calibrated Variational Inference for single-cell omics.
- vocalpy — A core package for acoustic communication research in Python
- volcano-base — Download, find and manipulate volcano and climate related time series
- volcano-cooking — Make some volcanoes and simulate them in CESM2
- votoutils — Utility scripts for VOTO processing
- voyapt — Voyage Analysis and Prediction Toolbox
- VUDA — Package to help analysing the Vanderbilt dataset.
- vvmtools — This is a package for VVM simulation data loading, analysis, and plotting.
- w2w — A python tool that ingests WUDAPT's Local Climate Zone information into WRF.
- wam2layers — Atmospheric moisture tracking model
- water-column-sonar-processing — A processing tool for water column sonar data.
- water-masses — Analysis of the northern European shelf seas
- waterpybal — An open source library for water balance modelling
- watobs — Access water observation data
- wattile — Probabilistic Deep Learning-based Forecasting of Building Energy ConsumptionProbabilistic Deep Learning-based Forecasting of Building Energy Consumption.
- wave-venture — Wave Venture's Python interface to TE Software API.
- wax-ml — A Python library for machine-learning and feedback loops on streaming data
- wbml — Machine learning stuff
- weather-forecast-retrieval — Weather forecast retrieval gathers relevant gridded weather forecasts to ingest into physically based models for water supply forecasts
- weather-provider-api — Weather Provider Libraries and API
- weclimb-correlation-module — A module for climate data correlation analysis
- wecopttool — WEC Design Optimization Toolbox
- weldx — Python API for the WelDX file format and standard
- wetterdienst — Open weather data for humans
- wflow — wflow hydrological modeling framework
- whiffle-client — Python based web client to interact with Whiffle services
- whitehole — Package for read and backtest data of financial assets in the most storage-efficient way, taking care of performance and store using zarr format files
- widetrax — Computes the Power Spectrum density (PSD) from SWOT data
- wind-stats — Statistics tools to evaluate your wind energy projects
- wind-validation — A tool for validating wind data
- windIO — Frameworks defining the inputs and outputs for systems engineering MDAO of wind turbine and plants.
- windkit — WindKit provides core functionalities for working with wind resource data
- wiver — Commercial Trip Model
- wmb-browser — Whole Mouse Brain Browser
- wmsan — Compute seismic sources of ambient noise using wave model hindcast outputs.
- wofs — Water Observations from Space - Digital Earth Australia
- wootils — Python package for commonly used code.
- wradlib — wradlib - An Open Source Library for Weather Radar Data Processing
- wrf-python — Diagnostic and interpolation routines for WRF-ARW data.
- wrfhydropy — API for the WRF-Hydro model
- wrftamer — A python package to help you mangaging WRF projects and experiments
- wsic — Whole Slide Image (WSI) conversion for brightfield histology images
- wsiml — Project to support machine learning on whole slide images. Currently a placeholder in pre-alpha.
- wxbtool — A toolkit for WeatherBench based on PyTorch
- wxee — Earth Engine to xarray interface
- x-aci — This package provides a way to calculate Actuaries Climate Index based on meteorological data.
- xagg — Aggregating raster data over polygons
- xagg-no-xesmf-deps — Aggregating raster data over polygons
- xagg2 — calculate weighted overlap or barely overlap for climate data
- xapres — A package for processing data from the Autonomous phase-sensitive Radio-Echo Sounder (ApRES) using xarray.
- xapres-package — Code for processing ApRES data suing xarray
- xarpes — Extraction from angle resolved photoemission spectra
- xarray — N-D labeled arrays and datasets in Python
- xarray-beam — no summary
- xarray-behave — xarray tools for behavioral data.
- xarray-ceos-alos2 — xarray reader for advanced land observing satellite 2 (ALOS2) CEOS files
- xarray-compare — xarray extension for data comparison
- xarray-cube — xarray extension for spectral cube analysis
- xarray-custom — Data classes for custom xarray creation
- xarray-dataclasses — xarray data creation by data classes
- xarray-datatree — Hierarchical tree-like data structures for xarray
- xarray-einstats — Stats, linear algebra and einops for xarray
- xarray-fancy-repr — Fancy reprs for Xarray objects in Jupyter notebooks
- xarray-fits — xarray Datasets for FITS-like data