Reverse Dependencies of xarray

The following projects have a declared dependency on xarray:

• mlgauge — Library to compare machine learning methods across datasets
• mllam-data-prep — dataset preparation for data-driven weather models
• mlmicrophysics — Machine learning emulator testbed for microphysics.
• mlossp — A package to spatially join and concatenate Satellite data into time series.
• mlpp-features — Define, track, share, and discover features for ML-based postprocessing of weather forecasts.
• mlpp-lib — Collection of methods for ML-based postprocessing of weather forecasts.
• mmspy — A Python package for querying and analysing data from the NASA Magnetospheric Multiscale (MMS) mission.
• mne-connectivity — mne-connectivity: A module for connectivity data analysis with MNE.
• mngs — For lazy python users (monogusa people in Japanse), especially in ML/DSP fields
• mod16 — Python tools for MOD16 algorithm
• mod17 — Python tools for MOD17 algorithm
• model-catalogs — Catalogs for known models
• ModelFlowIb — A tool to solve and manage dynamic economic models
• modelmimic — Generate model-like data, _mimic_ the output of various CIME tests.
• modelskill — Compare results from simulations with observations.
• modflow-export — Fast & easy summarizing of MODFLOW data and export to GIS file formats
• modflow-setup — Rapid and robust construction of MODFLOW groundwater flow models
• mogreps-uk-dataset — DESCRIPTION
• momgrid — Flexible Grid Object for MOM-based Ocean Models
• moniplot — a Python data visualization library for (satellite) instrument monitoring
• mooda — Module for Ocean Observatory Data Analysis
• MoonIndex — no summary
• motrainer — Parallel Training Measurement Operators (MO) for Data Assimilation (DA) Applications
• motutils — utilities for multiple object tracking research (io, visualization, format conversion)
• movement — Analysis of body movement
• mpes — Distributed data processing routines for multidimensional photoemission spectroscopy (MPES)
• mpl-interactions — Matplotlib aware interact functions
• mplotutils — utilities for matplotlib and cartopy
• mpolar — A package to parse and evaluate polar tables for marine navigation
• mrbles — MRBLEs decoding and analysis package
• mrc — Read and write .mrc and .dv (deltavision) image file format
• mrio-toolbox — Basic manipulation of Multi-Regional Input-Output tables.
• mriqa — Tools for MRI QA
• mrtool — Featured nonlinear mixed effects model
• msemseg — semantic segmentation utilities
• msise00 — Python API for Fortran MSISE-00 neutral atmosphere model.
• mt-metadata — Metadata for magnetotelluric data
• multi-interface-inversion — calculate gravity anomalies from multi-interfaces and estimate double-interfaces model from gravity anomalies, given prior information about constraints between the density interfacesthe using Crust1.0 model, where Vertical Gravity Gradient data are used asinputs
• multi-storage-client — Unified high-performance Python client for object and file stores.
• multibind — A package to find optimal state free energies from a thermodynamic graph.
• multimelt — Regroupment of the main existing ice shelf basal melt parameterisations
• multiscale_spatial_image — Generate a multiscale, chunked, multi-dimensional spatial image data structure that can be serialized to OME-NGFF.
• multiview-stitcher — Registration and fusion of large imaging datasets in 2D and 3D.
• MUSE-OS — Energy System Model
• muuttaa — Minimalist xarray-based climate impact framework
• mwr-raw2l1 — Readers for the most prominent types of operational ground-based K- and V-band microwave radiometers and a writer for NetCDF files according to E-PROFILE/ACTRIS standards.
• mygrads — A set of GrADS functions in Python.
• nais-processor — Code to process ion spectrometer data files
• napari — n-dimensional array viewer in Python
• napari-allencell-annotator — A plugin that enables annotations provided by Allen Institute for Cell Science
• napari-chatgpt — A napari plugin to process and analyse images with chatGPT.
• napari-geoscience-viewer — A napari plugin for quick-viewing HDF5 and NetCDF files
• napari-imagej — ImageJ functionality from napari
• napari-lattice — Napari plugin for analysing and visualizing lattice lightsheet and Oblique Plane Microscopy data.
• napari-PICASSO — Blind fluorescence unmixing
• napari-prism — A Python package for the inteRactive and Integrated analySis of Multiplexed tissue microarrays
• napari-spatialdata — Interactive visualization of spatial omics data with napari
• napari-stpt — napari viewer which can read stpt, axio and imc images as zarr files
• nasa-pymms — Access data from the MMS mission via its API.
• nasa-visualizations — Visualization tools for various NASA datasets including Hyperion EO-1.
• naturf — The Neighborhood Adaptive Tissues for Urban Resilience Futures tool (NATURF) is a Python workflow that generates data readable by the Weather Research and Forecasting (WRF) model. The NATURF Python modules use shapefiles containing building footprint and height data as input to calculate 132 building parameters at any resolution and converts the parameters into a binary file format.
• nave-visualization — A Python package for visualizing environmental data, specifically evapotranspiration, leaching risk,
• nbscuid — Notebook-Based, Super CUstomizable Infrastructure for Diagnostics
• nc-to-gpkg — A package for processing NetCDF files and merging with shapefiles
• nc2csv — Dump NetCDF file to CSV
• nc2gj — no summary
• ncCompare — netCDF Comparison Tool
• ncconvert — Convert netCDF to other formats.
• nccut — NcCut is a GUI for getting pixel data from images and data values from NetCDF files along linear transects.
• ncEllipsisParser — Package to parse a netCDF to an Ellipsis Drive data structure
• ncompare — Compare the structure of two NetCDF files at the command line
• ncplot — Interactive viewing of NetCDF data
• nctoolkit — A Python package for netCDF analysis and post-processing
• nd2 — Yet another nd2 (Nikon NIS Elements) file reader
• ndbc-api — A Python API for the National Data Buoy Center.
• ndcsv — Store N-dimensional labelled arrays from xarray or pandas into human-readable CSV
• ndl-aspect — A package for training NDL models to predict aspect in Polish verbs
• ndpyramid — A small utility for generating ND array pyramids using Xarray and Zarr
• ndradex — Multidimensional grid RADEX calculator
• ndradexhyperfine — Python package for RADEX grid calculation
• ndsampler — Fast sampling from large images
• necst-visualizer — no summary
• nemseer — A package for downloading and handling forecasts for the National Electricity Market (NEM) from the Australian Energy Market Operator (AEMO).
• neogidashboard — Dashboard for visualizing data
• neorl — NeuroEvolution Optimisation with Reinforcement Learning
• nercst — NEw reduction and calibration software for telescope
• nereus — no summary
• net2cog — NetCDF to COG Conversion Service
• netallocation — Package for allocating flows and costs in a PyPSA network
• netcdf-extraction-util — Script to extract time-series from Netcdf
• netcdf-scm — Processing netCDF files for use with simple climate models
• netcdf2csv — A Package to convert NetCDF files to CSV
• netcdfella — Netcdfella is providing multiple ways to convert netcdf filed into other data types such as ASCII, PNG and JPG, and even create graphs.
• neural-transport — Neural Transport - A Python library to train neural network emulators of atmospheric transport models.
• neuralgcm — Neural General Circulation Models for Weather and Climate
• neuralhydrology — Library for training deep learning models with environmental focus
• neurodatagen — Neuroscience data generation
• neuroflex — An advanced neural network framework with interpretability, generalization, robustness, and fairness features
• neuroglia — scikit-learn compatible transformers for neural data science
• neurotechdevkit — Neurotech Development Kit: an open-source software library designed to enhance accessibility to cutting-edge neurotechnology