Reverse Dependencies of cftime

The following projects have a declared dependency on cftime:

• aa-toolbox — Toolbox for anticipatory action
• access-nri-intake — Intake catalog managed by ACCESS-NRI and associated tools
• aospy — Automated gridded climate data analysis and management
• AxisUtilities — no summary
• basemap — Plot data on map projections with matplotlib
• birdhouse-finch — A Web Processing Service for Climate Indicators.
• bmi-nwis — BMI implementation for datasets from National Water Information System https://waterdata.usgs.gov/nwis?
• bufrtools — A suite of tools for working with BUFR
• carpet-concentrations — Core tools for the development of greenhouse gas concentration input files (i.e. flying carpets).
• CDSupdate — Auto-updater of data from the Climate Data Store
• cf-units — Units of measure as required by the Climate and Forecast (CF) metadata conventions
• climaf — CliMAF: a Climate Model Assessment Framework.
• climate-indices — Reference implementations of various climate indices typically used for drought monitoring
• climateforcing — Climate-related tools that I use in my work, gathered in a single module
• Climind — A python package for managing climate indicator information
• climix — A climate index package
• climkern — no summary
• climpred — Verification of weather and climate forecasts. prediction.
• clisops — CLISOPS - Climate simulation operations.
• cmip6-preprocessing — Analysis ready CMIP6 data the easy way
• compliance-checker — Checks Datasets and SOS endpoints for standards compliance
• dantro — Handle, transform, and visualize hierarchically structured data
• digitalarztools — Digital Arz tools for applications
• domino-composite — A package for compositing atmospheric datasets
• earth2studio — Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
• easymore — geo-spatial processing of the input data for environmental and hydrological modeling
• eflowcalc — EFlowCalc: A Calculator of Streamflow Characteristics in Python
• efts-io — Reading and writing Ensemble Forecast Time Series in netCDF files.
• enstools — no summary
• esm-viz — esm-viz allows you to monitor and visualize ongoing simulations
• esmlab — Tools for working with earth system multi-model analyses with xarray
• esmlab-regrid — ESMLab regridding utilities
• esmtools — a toolbox for Earth System Model analysis
• ESMValTool — ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP.
• eviz — An easy to use visualization framework for Earth system models
• ewatercycle — A Python package for running and validating a hydrology model
• flowcast — A framework for dynamically stringing together operations over gridded netcdf data, to create derived insights
• freva — Free Evaluation and Analysis Framework (Freva)
• Fused — no summary
• geocat.comp — GeoCAT-comp is computational component of the GeoCAT project and provides implementations of computational functions for analysis of geosciences data
• geomanager — Wagtail based Geospatial Data Manager
• gfdlvitals — Tools for calculating scalar diagnostics from GFDL models
• gnatss — Community Seafloor Global Navigation Satellite Systems - Acoustic (GNSS-A) Transponder Surveying Software
• GOES — Python package to download and manipulate GOES-16/17/18 data.
• hdf5tools — Python hdf5 tools
• holoviews — Stop plotting your data - annotate your data and let it visualize itself.
• huracanpy — A python package for working with various forms of feature tracking data
• hypycube — HyPyCube framework
• icclim — Python library for climate indices calculation.
• IHEWAcollect — Water Accounting Collect Tools
• ILAMB — The International Land Model Benchmarking Package
• imod — Make massive MODFLOW models!
• input4mips-validation — Validation of input4MIPs data (checking file formats, metadata etc.).
• interpolator-for-wrfchem — Interpolates global chemistry fields for use with WRF-CHEM
• ioos-tools — Misc functions for IOOS notebooks
• istar-m9csz-core — Core M9CSZ data parsing
• kerchunk — Functions to make reference descriptions for ReferenceFileSystem
• leap-data-management-utils — LEAP / pangeo-forge-recipes extension library for logging data in Google Big Query
• lib-munpy — Package to process MUNICH input/output data
• lib-munpy-dev — Package to process MUNICH input/output data
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• mdtf-test-data — Tools for working with MDTF Diagnostics test data sets
• metadata-inspector — Inspect metadata of weather/climate datasets
• MetDL — Extended library to read Meteorological data for AI Study
• miranda — Python utilities for climate data collection, conversion, and management
• mpilot — MPilot is a plugin-based, environmental modeling framework
• nc-time-axis — Provides support for a cftime axis in matplotlib
• netcdf-scm — Processing netCDF files for use with simple climate models
• netcdf4 — Provides an object-oriented python interface to the netCDF version 4 library
• netcdfella — Netcdfella is providing multiple ways to convert netcdf filed into other data types such as ASCII, PNG and JPG, and even create graphs.
• nvidia-modulus — A deep learning framework for AI-driven multi-physics systems
• nwm — Fetch and process data from the National Water Model
• ocha-anticipy — Access data for anticipating humanitarian risk
• pace-util — no summary
• pangaeapy — This module allows to download and analyse metadata as well as data from tabular PANGAEA (https://www.pangaea.de) datasets. Usage: import pangaeapy.pandataset as pd ds= pd.PanDataSet(787140) print(ds.title) print(ds.data.head()) Please visit the github project page to see more documentation and some examples: https://github.com/pangaea-data-publisher/pangaeapy
• pangeo-forge-recipes — Pipeline tools for building and publishing analysis ready datasets.
• payu — A climate model workflow manager for supercomputing environments
• pocean-core — A python framework for working with met-ocean data
• pydrology — A Python package for accessing and processing hydrologic data.
• PyESD — Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
• pyjams — pyjams: a general Python package with a wide variety of miscellaneous utility functions.
• PyMassSpec — Python Toolkit for Mass Spectrometry
• pyms-nist-search — PyMassSpec extension for searching mass spectra using NIST's Mass Spectrum Search Engine.
• roger — Runoff Generation Research - a process-based hydrological toolbox model in Python
• roocs-utils — A package containing common components for the roocs project
• satip — Satip provides the functionality necessary for
• scitools-iris — A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data
• scmdata — scmdata provides some useful data handling routines for dealing with data related to simple climate models (SCMs aka reduced complexity climate models, RCMs)
• sdmbc — Sub-Daily Multivariate Bias Correction (SDMBC)
• siaextractlib — Provide an easy to use API for download oceanographic data.
• skeem — Infer SQL DDL statements from tabular data
• spatialaudiometrics — For calculating spatial audio metrics
• springtime — Spatiotemporal phenology research with interpretable models
• stactools-noaa-cdr — NOAA Climate Data Records (CDR) stactools package
• swmmtonetcdf — A tool to write SWMM output to netcdf
• threedigrid — Python package for the threedigrid administration
• TimeAxis — no summary
• tintx — Tracking facility to track rainfall and other non-continous data.
• tomate-data — Tool to manipulate and aggregate data
• trodi — Label interferogram pixels or images as outliers