Reverse Dependencies of xarray

The following projects have a declared dependency on xarray:

• espuma — Utilities for OpenFOAM in Python
• etiket-client — A client to interact with the etiket web framework.
• ETS-CookBook — The ETS (TNO) CookBook of useful Python Scripts
• etswatch — no summary
• euba — a libary suport building ocean sound velocity dataset
• eurec4a — common utilities for analysing data from the EUREC4A field campaign
• eva-jirakova — EVA (Equation Visualisation Applet) displays and interlinks a set of equations.
• eviz — An easy to use visualization framework for Earth system models
• evoclearn-core — Core tools for Early Vocal Learning simulation.
• ewatercycle — A Python package for running and validating a hydrology model
• ewatercycle-model-testing — Comprehensive and flexible testing framework for hydrological model plugins that intend to integrate with the eWaterCycle platform.
• ExoIris — Easy and robust exoplanet transmission spectroscopy.
• exoplanet — Fast and scalable MCMC for all your exoplanet needs
• exoplanet-core — The compiled backend for exoplanet
• exoverses — A unified interface for the various tools that create universes for exoplanet simulations
• expyDB — Set up and maintain databases for handling experimental data in Python
• EXtra-data — Tools to read and analyse data from European XFEL
• EXtra-geom — Tools to work with EuXFEL detector geometry and assemble detector images
• extract-model — Facilitates read-in and extraction for ocean model output.
• ExtractTool — Tool for extracting spatial and temporal extent of Geodata
• ezmsg — A simple DAG-based computation model
• f3dasm — f3dasm - Framework for Data-driven Development and Analysis of Structures and Materials
• facit — no summary
• fair — Finite-amplitude Impulse Response (FaIR) simple climate model
• fake-data-for-learning — no summary
• falwa — python package to compute finite-amplitude local wave activity (Huang and Nakamura 2016, JAS)
• FanInSAR — A fantastic InSAR processing library, in a more pythonic way, to accelerate your InSAR processing workflow.
• fastfuels-core — Core algorithms for the FastFuels project
• fastjmd95 — Numba version of Jackett & McDougall (1995) ocean equation of state.
• fastkde — Tools for fast and robust univariate and multivariate kernel density estimation
• fastmeteo — Fast interpolation for ERA5 data with Zarr
• fastnanquantile — A package for fast nanquantile calculation
• fcast — A collection of python tools used for forecasting flood events and their impact on transportation infrastructure.
• fcpgtools — Tools to create Flow-Conditioned Parameter Grids (FCPGs) from Flow Direction Rasters (FDRs) and arbitrary rasterized parameter data.
• fcx-playground — A package that has a core fcx data processing module and a module to visualize the processed data in python interactive notebook environment (playground).
• feedinlib — Creating time series from pv or wind power plants.
• femagroundmotions — FEMA P695 ground motion data in multiple formats.
• fibsem-tools — Tools for processing FIBSEM datasets
• fierpy — Python implementation of the Forecasting Inundation Extents using REOF method
• figanos — Outils pour produire des graphiques informatifs sur les impacts des changements climatiques.
• file-tree — Describe structure directory for visualisation and pipeline
• finam-regrid — FINAM ESMPy regridding adapters.
• findpeaks — findpeaks is for the detection of peaks and valleys in a 1D vector and 2D array (image).
• FINE — Framework for integrated energy systems assessment
• finn-viewer — n-dimensional array viewer for cell tracking data in Python
• fishsound-finder — Python software to automatically detect fish sounds in passive acoustic recordings
• FLApy — Forest Light availability heterogeneity Analysis in Python
• flatds — FlatDS - structured arrays, optimized for sequential writing
• flipnslide — A concise Python package to preprocess large scientific images for use with GPUs.
• flme — Wrapper of limetr for FHS
• floodgb — A flood model
• flowcast — A framework for dynamically stringing together operations over gridded netcdf data, to create derived insights
• flox — GroupBy operations for dask.array
• fluidsim — Framework for studying fluid dynamics with simulations.
• fluxdataqaqc — Tools for QA/QC of eddy covariance station data
• fly2p — Tools for analyzing 2p (calcium) imaging data collected in flies (or other insects).
• flyvis — Connectome and task-constrained vision models of the fruit fly.
• fme — Train and evaluate weather/climate model emulators
• fmflow — Data analysis package for FMLO
• fmskill — Compare results from MIKE simulations with observations.
• footprint-toolkit — Python module to easily handle footprint outputsWritten by pedrohenriquecoimbra
• forge-py — forge-py is a footprint generator (FOotpRint GEnerator) from science data netcdf files
• forked-ecephys-spike-sorting — Tools for spike-sorting Allen Institute Neuropixels data
• Formosa — ForMoSA: Forward Modeling Tool for Spectral Analysis
• foxes — Farm Optimization and eXtended yield Evaluation Software
• foxes-opt — Wind farm optimization for the FOXES package
• fragment-qc — A Fragmentation Framework
• fraplib — no summary
• freva — Free Evaluation and Analysis Framework (Freva)
• fridom — Framework for Idealized Ocean Models
• friendly-data — A frictionless data package implementation for energy system data.
• frites — Framework of Information Theory for Electrophysiological data and Statistics
• froglabs — Froglabs Toolkit
• frontpy — FrontPy is a Python package designed for the detection and analysis of atmospheric fronts. It uses the Thermal Front Parameter (TFP) method to identify cold and warm fronts. The package also includes visualization capabilities, allowing users to plot the identified fronts over GOES-16 satellite imagery.
• fsl-pipe — Declarative pipelines based on Filetrees
• fsspec — File-system specification
• FTPsubsetMO — Python module able to download a file from FTP and subset it using time-range,bounding-box,variables and depths
• functional-connectivity — Sensing functional connectivity in the brain, in Python
• Fused — no summary
• fusets — Time Series Fusion toolbox integrated with openEO
• fxy — Convenience imports and scientific functions.
• gaiaunlimited — Tools for manipulating Gaia selection functions.
• gaitalytics — easy gait-metrics for everyone
• gatiab — Gasous Absorption Transmissions at Instrument Averaged Bands
• gcm-filters — Diffusion-based Spatial Filtering of Gridded Data
• gcm-toolkit — postprocessing stuff
• GCMotion — Package for Guiding Center Motion calculations
• gcmprocpy — A Python3 post processing tool for TIE-GCM and WACCM-X
• gcviz — Gorgeous and Captivating Visualization of air measurements data.
• gdp-time-series — no summary
• gdptools — Gdptools
• geb — GEB simulates the environment, the individual behaviour of people, households and organizations - including their interactions - at small and large scale.
• gEconpy — A package for solving, estimating, and analyzing DSGE models
• gedidb — A toolbox to download, process, store and visualise Global Ecosystem Dynamics Investigation (GEDI) L2A-B and L4A-C data
• geeet — Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine.
• geefcc — Forest cover change from Google Earth Engine
• geemap — A Python package for interactive mapping using Google Earth Engine and ipyleaflet
• gemgis — Spatial data processing for geomodeling
• gemini3d — 3-D ionospheric model plotting suite
• gemmr — Generative Modeling of Multivariate Relationships