Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles.
spatialite-tools is a collection of Command Line Interface (CLI) tools supporting SpatiaLite.
Mepo is a fast, simple, and hackable OSM map viewer for desktop and mobile Linux devices. It supports Wayland and X Windows.
Mepo works both offline and online, features a minimalist both touch/mouse and keyboard compatible interface, and offers a simple and powerful JSON API to allow the user to change and add functionality such as adding their own search and routing scripts, adding arbitrary buttons/keybindings to the UI, and more.
SAGA (System for Automated Geoscientific Analyses) is a Geographic Information System (GIS) software. It has been designed for an easy and effective implementation of spatial algorithms and it offers a comprehensive, growing set of geoscientific methods.
Libosmium is a fast and flexible C++ library for working with OpenStreetMap data.
ecCodes is a package developed by ECMWF which provides an application programming interface and a set of tools for decoding and encoding messages in the WMO FM-92 GRIB, WMO FM-94 BUFR and WMO GTS abbreviated header formats.
Imposm is an importer for OpenStreetMap data. It reads PBF files and imports the data into PostgreSQL/PostGIS databases. It is designed to create databases that are optimized for rendering/tile/map-services.
SpatiaLite is a library intended to extend the SQLite core to support fully fledged Spatial SQL capabilities.
LASzip is a library for compressing LAS files and uncompressing LAZ files. The LAS format is a file format designed for the interchange and archiving of lidar point cloud data.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. This package provides a PostgreSQL extension.
GDAL is a translator library for raster and vector geospatial data formats. As a library, it presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats. It also comes with a variety of useful command line utilities for data translation and processing.
QMapShack can be used to plan your next outdoor trip or to visualize and archive all the GPS recordings of your past trips. It is the successor of the QLandkarte GT application.
This package provides a Python bindings for H3, a hierarchical hexagonal geospatial indexing system
Memphis is a map-rendering application and a library for OpenStreetMap written in C using eXpat, Cairo and GLib.
OpenOrienteering Mapper is a software for creating maps for the orienteering sport.
The RT Topology Library exposes an API to create and manage standard (ISO 13249 aka SQL/MM) topologies using user-provided data stores.
This is a very simplistic parser for string values according to the OSM opening hours specification.
XyGrib is a Grib file reader and visualizes meteorological data providing an off-line capability to analyse weather forecasts or hindcasts. It is intended to be used as a capable weather work station for anyone with a serious interest in examining weather. This would include members of the sailing community, private and sport aviators, farmers, weather buffs and many more. XyGrib is the continuation of the zyGrib software package with a new team of volunteers.
This package provides units of measure as required by the Climate and Forecast (CF) metadata conventions. Provision of a wrapper class to support Unidata/UCAR UDUNITS-2 library, and the cftime calendar functionality.
The goal of GeoPandas is to make working with geospatial data in Python easier. It combines the capabilities of Pandas and Shapely, providing geospatial operations in Pandas and a high-level interface to multiple geometries to Shapely. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS.
Navit is a car navigation system with a routing engine.
It is meant to work with touchscreen devices, but it also works without a touchscreen. It also supports text to speech.
It can be configured extensively through its own configuration file format. For instance we can configure the graphical interface, and which map data is to be displayed at which zoom level.
It supports different routing profiles: bike, car, car_avoid_toll, car_pedantic, car_shortest, horse, pedestrian, truck.
It can use gpsd or NMEA GPS directly to get position data. It also works without GPS: in this case users can also enter position data directly.
It can also be used to log GPS data to files using the GPX or NMEA formats, or to replay NMEA data.
For maps, it can uses its own "binfile" map format, or Garmin map file format, and data from OpenStreetMap, Garmin maps, Marco Polo Grosser Reiseplaner, Routeplaner Europa 2007, Map + Route.
Mapnik is a toolkit for developing mapping applications. It is basically a collection of geographic objects like maps, layers, datasources, features, and geometries. At its core is a C++ shared library providing algorithms and patterns for spatial data access and visualization. The library does not rely on any specific windowing system and can be deployed to any server environment. It is intended to play fair in a multi-threaded environment and is aimed primarily, but not exclusively, at web-based development.
MaxMind DB is a binary file format that stores data indexed by IP address subnets (IPv4 or IPv6). This is a Python module for reading MaxMind DB files.
OSMnx is a Python library that lets you download geospatial data from OpenStreetMap and model, project, visualize, and analyze real-world street networks and any other geospatial geometries. You can download and model walkable, drivable, or bikeable urban networks with a single line of Python code then easily analyze and visualize them. You can just as easily download and work with other infrastructure types, amenities/points of interest, building footprints, elevation data, street bearings/orientations, and speed/travel time.