Reverse Dependencies of pyproj

The following projects have a declared dependency on pyproj:

• kawaplatformlibrary — Library for Data Ingestion
• kenmerkendewaarden — Derive indicators from waterlevel measurements
• kmService — no summary
• korean-geocoding — Korean geocoding library with Naver Geocoding API
• krillscan — A python module for automatic analysis of backscatter data from vessels of opportunity
• kwcoco-dataloader — The kwcoco_dataloader module
• kwgis — The kwgis module
• label-maker — Data preparation for satellite machine learning
• labelbox — Labelbox Python API
• ladim — Lagrangian Advection and Diffusion Model
• ladim_aggregate — Aggregate tool for LADiM output files
• LaharZ — Creates tif maps of lahars using QGIS
• lakkavokka — Command-line JOSM plugin for digitizing indexed colors images
• Lambda-Salemx — Salem to aws lamda funcs
• large-image-source-gdal — A GDAL tilesource for large_image.
• laspy — Native Python ASPRS LAS read/write library
• lasrasterize — A command line tool and associated library used to convert lidar LAS files into GeoTIFF raster files.
• LatLon — Methods for representing geographic coordinates
• LatLonCalc — Geographical calculations with longitudes/latitudes coordinates
• latviastreetify — module that help get streets and neiborhoods from latitude longitude
• leafmap — A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
• leuvenmapmatching — Match a trace of GPS positions to a locations and streets on a map
• leveelogic — no summary
• lfmaptools — Mapping tools for LaharFlow data
• lgblkb-tools — Helper tools for lgblkb)
• lightning-parser-lib — Connor's Lightning Parser Lib (LPL) is an extremely powerful analysis utility with a simplistic front-end in mind.
• Lmgeo — Python raster GIS library with low memory requirements.
• LocUCT — no summary
• lonboard — Fast, interactive geospatial data visualization in Jupyter.
• lonlatProj — lonlat_pred_utils
• LorenzCycleToolkit — no summary
• lsdviztools — lsdviztools is a collection of routines for plotting geospatial data, with a focus on data produces by LSDTopoTools or by lsdtopytools.
• malpolon — Malpolon v2.1.2
• map-maker — no summary
• map-ukraine — no summary
• mapbox-vector-tile — Mapbox Vector Tile encoding and decoding.
• mapchete — Tile-based geodata processing using rasterio & Fiona
• mapio — Reading/resampling of raster files (esp. across 180 meridian)
• maplapse — A python library to create animated timelapse of maps
• MapProxy — An accelerating proxy for tile and web map services
• mappymatch — Pure python package for map-matching.
• mapreader — A computer vision pipeline for the semantic exploration of maps/images at scale
• mapservice-clientlib — Library to query mapservices including ArcGIS, THREDDS, WMS and ScienceBase
• mapsy — Mapsy is a Python library designed easily render static maps in python.
• mapteksdk — Python SDK for MDF-based Maptek products.
• maptiles — Create map images and use as plot background
• marsis — An open source processor for the MARSIS instrument on Mars Express
• matplotlibXtns — matplotlib extension functions.
• maxar-ard-grid — Tools for the Maxar ARD grid
• Maxar-OGC — SDK for interacting with Maxar imagery platforms
• maxar-platform — Maxar Geospatial Platform SDK
• maxar-skyway — Python API for making OSM queries
• meerschaum — Sync Time-Series Pipes with Meerschaum
• memories-dev — Collective Memory Infrastructure for AGI
• mesa-geo — GIS Agent-based modeling (ABM) in Python
• metacatalog — Metadata model management module.
• metaCTD — GUI to read and view conductivity, temperature and depth (CTD) files and to manage and creating metadata by defining stations, transects, campaigns
• metalpy — Essential tools and libraries for SimPEG and related workflows.
• MeteorTools — Python Tools for Meteor Data Analysis
• metoffice-weather-datahub — Python wrapper for the UK Met Office Weather DataHub API
• MetPy — Collection of tools for reading, visualizing and performing calculations with weather data.
• MGP-SDK — SDK for interacting with Maxar Geospatial Platform
• mgpro — A Python Interactive command line toolbox for processing geomagnetic and gravity data
• mgrspy — Convert WGS84 coordinates to MGRS and back
• microhhpy — Python package with utility functions for working with MicroHH LES/DNS.
• mikeio — A package that uses the DHI dfs libraries to create, write and read dfs and mesh files.
• milmapcon — A coordinate converter built on pyproj to convert WWII-era map grid coordinates to latitude & longitude
• minmodkg — code repository for TA2 Knowledge Graph (MinMod) construction & deployment
• mintpy — Miami INsar Time-series software in PYthon
• mixmasta — A library for common scientific model transforms
• mlpp-features — Define, track, share, and discover features for ML-based postprocessing of weather forecasts.
• MOD16-JPL — JPL implementation of the MOD16 evapotranspiration algorithm for high resolution instantaneous remote sensing imagery
• model-harmonics — Python tools for obtaining and working with model synthetic spherical harmonic coefficients for comparing with data from the NASA/DLR GRACE and NASA/GFZ GRACE Follow-on missions
• 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
• modis-sinusoidal-tile-converter — A simple Python tool for converting geographic coordinates into MODIS (Moderate-Resolution Imaging Spectroradiometer) tile numbers.
• modland — georeferencing for MODIS/VIIRS sinusoidal tiles
• mojxml — A tool for fast conversion of Japanese "MOJ Map XML" (land registration polygons) into geospatial formats.
• moraine — Modern Radar Interferometry Environment, A simple, stupid InSAR postprocessing tool in big data era
• morecantile — Construct and use map tile grids (a.k.a TileMatrixSet / TMS).
• moredata — no summary
• mosaiks — Use the MOSAIKS algorithm to create features from satellite imagery
• mosstool — MObility Simulation System toolbox
• movici-simulation-core — Core package for running Movici geospatial temporal simulations
• mra-vis — Default template for PDM package
• mtpy — Python toolkit for standard magnetotelluric data processing.
• mtpy-v2 — Python toolkit for standard magnetotelluric data processing.
• muenster — Asynchronous Python client providing Open Data information of Muenster
• multimelt — Regroupment of the main existing ice shelf basal melt parameterisations
• mundipy — mundipy is a Python framework for spatial data analysis
• naptan — Python package to quickly and easily get public transport access node data from the UK's NaPTAN API.
• 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.
• navlib — MBARI CoMPAS Lab Utilities for Navigation Data Processing
• ncdjango — A NetCDF mapserver app for Django
• ncvue — ncvue: A minimal GUI for a quick view of netcdf files, aiming to be a drop-in replacement for ncview and panoply
• ndpyramid — A small utility for generating ND array pyramids using Xarray and Zarr
• nenupy — NenuFAR Python package
• neonutilities — A package for accessing and wrangling data generated and published by the National Ecological Observatory Network.
• nereus — no summary
• netatmoqc — Use machine learning clustering methods to perform quality control over NetAtmo data