Reverse Dependencies of xarray
The following projects have a declared dependency on xarray:
- bluesky-live — Prototype building blocks for working with streaming data in bluesky
- bmi-era5 — BMI implementation for ERA5 data https://confluence.ecmwf.int/display/CKB/ERA5
- bmi-geotiff — Access data and metadata in a GeoTIFF file through an API or a BMI
- bmi-nwis — BMI implementation for datasets from National Water Information System https://waterdata.usgs.gov/nwis?
- bmi-roms — BMI implementation for ROMS model data https://www.myroms.org/
- bmi-topography — Fetch and cache land elevation data from OpenTopography
- bmiselect — Bayesian MI-LASSO for variable selection on multiply-imputed data.
- BMSS — A package for dyanmic model analysis.
- bob.pipelines — Tools to build robust and extensible pipelines
- bokeh-catplot — DEPRECATED. Utility to generate plots with categorical variables using Bokeh.
- bolero — sequence
- bolero-process — Data preprocessing for bolero package
- boost-histogram — The Boost::Histogram Python wrapper.
- braille-radio — A minimal internet radio optimized for braille users
- brav0 — Bayesian Radial Velcoity Zero-Point Correction
- bridgescaler — Tool to automagically save scikit-learn scaler properties to a portable, readable format.
- CADS — Python Package to add new download services to Copernicus and make easier managing voluminous data requests.
- calliope — A multi-scale energy systems modelling framework.
- camazing — Machine vision library for GenICam-compliant cameras
- camels-aus — Python package to easily access the CAMELS-AUS dataset
- capytaine — Python BEM solver for linear potential flow, based on Nemoh
- carbonplan-data — Preprocessing utilities for CarbonPlan's data catalog
- carbonplan-forest-offsets — retrospective analysis of complience IFM projects
- carbonplan-forest-risks — forest carbon potential and risks
- carbonplan-forests — forest carbon potential and risks
- carbonplan-trace — tracking forest carbon emissions
- carculator-bus — Prospective environmental and economic life cycle assessment of urban and coach buses
- carpet-concentrations — Core tools for the development of greenhouse gas concentration input files (i.e. flying carpets).
- cars — A satellite multi view stereo pipeline
- CausalPy — Causal inference for quasi-experiments in Python
- ccfwidget — A Jupyter widget for the Allen Common Coordinate Framework (CCF) Mouse Brain Atlas.
- cchdo.hydro — no summary
- ccic — Chalmers Cloud Ice Climatology
- ccres-weather-station — CCRES codes to convert weather data from text files to NetCDF files
- cdflib — A python CDF reader toolkit
- CDSupdate — Auto-updater of data from the Climate Data Store
- cedar-datacube — Creator for Analysis Ready Data (ARD)
- cedarkit-comp — A meteorological computation tool for CEMC/CMA.
- cedarkit-maps — A graph tool for CEMC/CMA.
- celer — A fast algorithm with dual extrapolation for sparse problems
- celerite2 — Fast and scalable Gaussian Processes in 1D
- CellAutDisp — no summary
- cf-xarray — A convenience wrapper for using CF attributes on xarray objects
- cfanalytics — Downloading, analyzing and visualizing CrossFit data
- CFEDemands — Tools for estimating and computing Constant Frisch Elasticity (CFE) demands.
- cfgrib — Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes.
- cfspopcon — Empirically-derived scoping of tokamak operational space.
- cgeniepy — A Python package to read, analyse and visualise cGENIE Earth System Model output
- cgul — Python package which will be used to ensure consistent data format when working with Xarray type data objects.
- ChaProEV — ChaProEV: Charging Profiles of Electric Vehicles
- chelsa-cmip6 — This package contains function to create monthly high-resolution climatologies for a selected geographic area for min-, max-, and mean temperature, precipitation rate and bioclimatic variables from anomalies and using CHELSA V2.1 as baseline high resolution climatology. Only works for GCMs for which tas, tasmax, tasmin, and pr are available.
- chi-drm — Package to model dose response dynamics
- chombopy — Running, analysing and plotting Chombo simulations
- cht-cyclones — no summary
- cht-meteo — no summary
- cimiss-python — A CIMISS client for python
- cinterop — A Python package for reusable interop with native resources from a C API
- circrl — Tools for applying circuits-style interpretability techniques to RL agents.
- ciso — Create isosurfaces from 2D or 3D arrays
- cjfx — A module for common functions optimised for data scientists that need to code repeatitive tasks fast
- climada — CLIMADA in Python
- climalysis — A comprehensive toolkit for climate impact analysis.
- climate-assessment — Climate assessment of long-term emissions pathways: IPCC AR6 WGIII version
- climate-indices — Reference implementations of various climate indices typically used for drought monitoring
- climate-learn — ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
- climate-library — A library for calculating climate indices
- climatePy — A Python package for getting point and gridded climate data by AOI.
- Climind — A python package for managing climate indicator information
- climkern — no summary
- climopy — A data analysis toolkit for climate scientists.
- climpred — Verification of weather and climate forecasts. prediction.
- climpy — Tools to analyse climate data for machine learning and event analysis
- climsight — no summary
- clisops — CLISOPS - Climate simulation operations.
- clonedetective — A python package for the scalable analysis of fluorescent imaging data from lineage tracing experiments.
- clouddrift — Accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences
- cloudsat-object-manipulation — This package contains a set of packages and command line plugins that can identify indidual cloud objects along CloudSat's orbit and their associated properties (i.e. cloud type, size, precipitating)
- Clumsy — A collection of scripts used in the Computational Memory Lab for timeseries analysis
- cmaqsatproc — Processor to grid satellite data for comparison to CMAQ.
- cmdstanpy — Python interface to CmdStan
- cmemsapi — A package to help generating reliable data requests about earth observation and marine related information from Copernicus Marine Database.
- cmip-basins — Generate CMIP-style ocean basin masks
- cmip6-downscaling — Climate downscaling using cmip6 data
- cmip6-preprocessing — Analysis ready CMIP6 data the easy way
- cmomy — Central (co)moment calculation/manipulation
- cmpdata — Package for handling CMIP6 data
- COAsT — This is the Coast Ocean Assessment Tool
- coastalimagelib — Package for creating coastal image products.
- coclico — Python tools for Coastal Climate Core Services
- coconut — Simple, elegant, Pythonic functional programming.
- coconut-develop — Simple, elegant, Pythonic functional programming.
- coiled-runtime — Simple and fast way to get started with Dask
- coilpy — Plotting and data processing tools for plasma and coil
- coloc-sat — no summary
- columnflexpart — no summary
- ComponentVis — Package to visualise component-based decomposition models such as PCA and PARAFAC
- ConTrack — Contour Tracking of circulation anomalies in Weather and Climate Data.
- convml-data — Dataset creation for neural network classification of clouds
- convml-tt — Neural Network based study of convective organisation
- coola — A library to check if two complex/nested objects are equal or not