Reverse Dependencies of xarray

The following projects have a declared dependency on xarray:

• lls-core — Core functionality for analysing and visualizing lattice lightsheet and Oblique Plane Microscopy data.
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• loren-frank-data-processing — Import data from Loren Frank lab
• LorenzCycleToolkit — no summary
• lotus-regression — Regression model developed for the LOTUS project
• lowtran — Model of Earth atmosphere absorption and transmission vs. wavelength and location.
• lppls — A Python module for fitting the LPPLS model to data.
• lppls-w — A Python module for fitting the LPPLS model to data.
• ls2d — Python toolkit to downscale ERA5 with doubly-periodic large-eddy simulation
• ltool — Automated aerosol layer detection algorithm.
• ltool-standalone — Automated aerosol layer detection algorithm.
• lusos — Spatial calculation of GHG emissions from SOMERS modelling results
• luts — Multidimensional labeled arrays and datasets in Python, similar to xarray.
• m21ctools — Tools for processing cubed-sphere data.
• macosko2015 — Expression data for Macosko et al, "Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets," Cell (2015)
• mafredo — Marine Frequency Domain
• magali — Modelling and inversion of magnetic microscopy data
• magenpy — Modeling and Analysis of Statistical Genetics data in python
• magnify — A microscopy image processing toolkit.
• malariagen-data — A package for accessing and analysing MalariaGEN data.
• MAMMAL-MagNav — Python package used to create aeromagnetic anomaly maps for Magnetic Navigation (MagNav)
• mapchete-xarray — Mapchete xarray output driver
• mapminer — An advanced geospatial data extraction and processing toolkit for Earth observation datasets.
• maresb-copernicusmarine-unpin-numpy — A temporary workaround to use Copernicus Marine with Numpy v2
• marEx — Marine Extremes Detection and Tracking
• maser-data — Maser4py submodule to handle radio data
• mass-composition — For managing multi-dimensional mass-composition datasets, supporting weighted mathematical operations and visualisation.
• matchpoint — Package for performing point set registration.
• matrixconverters — package to read and write PTV-Visum Matrix Formats
• mbs — Utilities for MB Scientific analyzer data
• mcd-stitcher — MCD to Zarr conversion and stitching
• mcnpy — no summary
• mcot.dippi — Simulates/fits DIPPI data
• mcot.pipe — Declerative pipeline definition
• mcstools — "Read, load, and process Mars Climate Sounder data"
• mdtf-test-data — Tools for working with MDTF Diagnostics test data sets
• medaprep — no summary
• medenv — no summary
• megafish — Multi-omics Extensible GPU-Accelerated FISH analysis framework
• megpy — MEGPy
• meillionen — A model interface serialization and rpc framework
• memories-dev — Collective Memory Infrastructure for AGI
• mercurius — Yet Another Portfolio Management Toolbox
• merge-downloader — Downloader Package for rain obtained from MERGE/GPM model processed by INPE
• mergeplg — A great package.
• merlin-sdk — Python SDK for Merlin
• MerOC — Software to download/manipulate netCDF files
• meshiphi — MeshiPhi: Earth's digital twin mapped on a non-uniform mesh
• mesmer-emulator — Modular Earth System Model Emulator with spatially Resolved output
• mesmer-openscmrunner — Coupling between MESMER and OpenSCM-Runner
• met-office-datasets — DESCRIPTION
• metacatalog — Metadata model management module.
• MetaCSV — Tools for documentation-aware data reading, writing, and analysis
• metadata-inspector — Inspect metadata of weather/climate datasets
• metamorph-mda-parser — Light-weight parsing of Metamorph/VisiView .nd files.
• meteofetch — Package python pour récupérer les données modélisées de prévision de MétéoFrance
• meteole — A Python client library for forecast model APIs (e.g., Météo-France).
• meteora — Pythonic interface to access data from meteorological stations
• meteosatpy — Library designed for downloading and managing meteorological data sourced from satellites and global models.
• meteoscanner — A module used for making continuous cross-section view of the atmosphere.
• meteva — A collections of functions for meteorological verification.
• meteva-base — base classes and functions of generally meteorogical usage, like Basic_class/IO/calculation/plot .etc
• metgrs — The Python Package work for The Ground-based Remote Sensing Data Operation.
• metlib — Python package to performs meteorological calculations
• metocean-api — metocean-api - Tool to extract time series of metocean data from hindcasts/reanalysis
• metocean-ml — metocean-ml - machine learning tool for metocean data
• metocean-stats — metocean-stats - Tool for generation of metocean statistics
• metoffice-weather-datahub — Python wrapper for the UK Met Office Weather DataHub API
• metofficeamd — Python wrapper for Met Office Weather DataHub AMD API
• MetPy — Collection of tools for reading, visualizing and performing calculations with weather data.
• metsim — Meteorology Simulator
• mews — Multi-scenario Extreme Weather Simulator (MEWS)
• mhkit — Marine and Hydrokinetic Toolkit
• mhm — Python distribution of mHM with bindings.
• mia-api — A package to communicate with MIA API
• mibi-bin-tools — Source for extracting .bin files from the commercial MIBI.
• microarviz — Exploratory analysis of Bayesian models
• microfilm — Creating figures and animations for multi-channel images with a focus on microscopy.
• microhhpy — Python package with utility functions for working with MicroHH LES/DNS.
• microsim — Light microscopy simulation in python
• microsoft-aurora — Implementation of the Aurora model
• microSWIFTtelemetry — microSWIFTtelemetry: Python-based functionality for pulling telemetry from the microSWIFT wave buoy.
• mijn-pkg — no summary
• mikeio — A package that uses the DHI dfs libraries to create, write and read dfs and mesh files.
• mikro — images for arkitekt
• mikro-next — next images for arkitekt
• miles-credit — no summary
• miles-guess — no summary
• miniquant-ioc — Python interface for the Harp class of PicoQuant's time interval analysers and photon counters
• minpower — power systems optimization made beautiful
• mipas-noxy — MIPAS level-2 NOx/NOy calculater
• miranda — Python utilities for climate data collection, conversion, and management
• MISA-XGModel — A Python library for predicting electron density using XGBoost
• mitty — Simulator for genomic data
• mixmasta — A library for common scientific model transforms
• mjoindices — Calculation of indices that describe the Madden-Julian-Oscillation (only OMI by now)
• ml-env — no summary
• ml-ocean-bl — Machine Learning Ocean Boundary Layer
• ml-verbs — Generic interfaces for machine learning
• ml4xcube — ML package for data cubes