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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
The AMD ROCm Debugger (ROCgdb) is the AMD source-level debugger for Linux, based on the GNU Debugger (GDB).
GDB is the GNU debugger. With it, you can monitor what a program is doing while it runs or what it was doing just before a crash. It allows you to specify the runtime conditions, to define breakpoints, and to change how the program is running to try to fix bugs. It can be used to debug programs written in C, C++, Ada, Objective-C, Pascal and more.
GDB is the GNU debugger. With it, you can monitor what a program is doing while it runs or what it was doing just before a crash. It allows you to specify the runtime conditions, to define breakpoints, and to change how the program is running to try to fix bugs.
This variant of GDB can be used to debug programs written for the AVR microcontroller architecture.
GDB is the GNU debugger. With it, you can monitor what a program is doing while it runs or what it was doing just before a crash. It allows you to specify the runtime conditions, to define breakpoints, and to change how the program is running to try to fix bugs. It can be used to debug programs written in C, C++, Ada, Objective-C, Pascal and more.
GDB is the GNU debugger. With it, you can monitor what a program is doing while it runs or what it was doing just before a crash. It allows you to specify the runtime conditions, to define breakpoints, and to change how the program is running to try to fix bugs. It can be used to debug programs written in C, C++, Ada, Objective-C, Pascal and more.
Gramps is a free software project and community striving to produce a genealogy program that is both intuitive for hobbyists and feature-complete for professional genealogists.
Libaec provides fast lossless compression of 1 up to 32 bit wide signed or unsigned integers (samples). The library achieves best results for low entropy data as often encountered in space imaging instrument data or numerical model output from weather or climate simulations. While floating point representations are not directly supported, they can also be efficiently coded by grouping exponents and mantissa.
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.
GeoIP2Fast is a fast GeoIP2 country/city/asn lookup library that supports IPv4 and IPv6. A search takes less than 0.00003 seconds. It has its own data file updated twice a week with Maxmind-Geolite2-CSV, supports IPv4/IPv6 and is pure Python.
OpenOrienteering Mapper is a software for creating maps for the orienteering sport.
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.
Iris is a Python library for analysing and visualising Earth science data. It excels when working with multi-dimensional Earth Science data, where tabular representations become unwieldy and inefficient. Iris implements a data model based on the CF conventions.
The purpose of this library is to provide:
An extensible framework that will support robust spatial indexing methods.
Support for sophisticated spatial queries. Range, point location, nearest neighbor and k-nearest neighbor as well as parametric queries (defined by spatial constraints) should be easy to deploy and run.
Easy to use interfaces for inserting, deleting and updating information.
Wide variety of customization capabilities. Basic index and storage characteristics like the page size, node capacity, minimum fan-out, splitting algorithm, etc. should be easy to customize.
Index persistence. Internal memory and external memory structures should be supported. Clustered and non-clustered indices should be easy to be persisted.
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.
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.
librasterlite2 is a library that stores and retrieves huge raster coverages using a SpatiaLite DBMS.
Proj is a generic coordinate transformation software that transforms geospatial coordinates from one CRS to another. This includes cartographic projections as well as geodetic transformations. Proj includes command line applications for easy conversion of coordinates from text files or directly from user input. In addition, Proj also exposes an application programming interface that lets developers use the functionality of Proj in their own software.
OpenGeoSys (OGS) is a scientific open source project for the development of numerical methods for the simulation of thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured media. OGS is implemented in C++, it is object-oriented with an focus on the numerical solution of coupled multi-field problems (multi-physics). Parallel versions of OGS are available relying on both MPI and OpenMP concepts. Application areas of OGS are currently CO2 sequestration, geothermal energy, water resources management, hydrology and waste deposition.
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.
The libmaxminddb library provides a C library for reading MaxMind DB files, including the GeoIP2 databases from MaxMind. The MaxMind DB format is a custom, but open, binary format designed to facilitate fast lookups of IP addresses while allowing flexibility in the type of data associated with an address.
GPlates is a plate tectonics program. Manipulate reconstructions of geological and paleogeographic features through geological time. Interactively visualize vector, raster and volume data.
H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2's hierarchical subdivisions.
Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine learning.
GMT is a collection of about 100 command-line tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing high-quality illustrations ranging from simple x-y plots via contour maps to artificially illuminated surfaces, 3D perspective views and animations. The GMT supplements add another 50 more specialized and discipline-specific tools. GMT supports over 30 map projections and transformations and requires support data such as GSHHG coastlines, rivers, and political boundaries and optionally DCW country polygons.