Go, also commonly referred to as golang, is an imperative programming language designed primarily for systems programming. Go is a compiled, statically typed language in the tradition of C and C++, but adds garbage collection, various safety features, and concurrent programming features in the style of communicating sequential processes (CSP).

Go, also commonly referred to as golang, is an imperative programming language designed primarily for systems programming. Go is a compiled, statically typed language in the tradition of C and C++, but adds garbage collection, various safety features, and concurrent programming features in the style of communicating sequential processes (CSP).

gperf is a perfect hash function generator. For a given list of strings, it produces a hash function and hash table in C or C++ code. That the hash function is perfect means that no collisions can exist and that look-ups can be made by single string comparisons.

gPodder is a podcatcher, i.e. an application that allows podcast feeds (RSS, Atom, Youtube, Soundcloud, Vimeo and XSPF) to be subscribed to, checks for new episodes and allows the podcast to be saved locally for later listening.

castget is a simple, command-line based RSS enclosure downloader. It is primarily intended for automatic, unattended downloading of podcasts. It uses libcurl for the download process.

mygpoclient provides an easy and structured way to access the https://gpodder.net web services. In addition to subscription list synchronization and storage, the API supports uploading and downloading episode status changes.

libmygpo-qt is a Qt/C++ library wrapping the https://gpodder.net APIs. It allows applications to discover, manage and track podcasts.

libmygpo-qt is a Qt/C++ library wrapping the https://gpodder.net APIs. It allows applications to discover, manage and track podcasts.

podcastparser is a library for the gPodder project to provide an easy and reliable way of parsing RSS and Atom-based podcast feeds in Python.

GPXSee is a Qt-based GPS log file viewer and analyzer that supports all common GPS log file formats. It can display multiple tracks on various on- and off-line maps. You can easily add more maps and graph other captured data such as elevation, speed, heart rate, power, temperature, and gear shifts.

gpsd is a service daemon that monitors one or more GPSes or AIS receivers attached to a host computer through serial or USB ports, making all data on the location/course/velocity of the sensors available to be queried on TCP port 2947 of the host computer.

GPSBabel converts waypoints, tracks, and routes between hundreds of popular GPS receivers and mapping programs. It contains extensive data manipulation abilities making it a convenient for server-side processing or as the back-end for other tools. It does not convert, transfer, send, or manipulate maps.

GPS Correlate is a program to match a recorded GPS track with the EXIF tags in digital camera photos, and update the EXIF tags with the location that the photo was taken. It does this by using the timestamp in the photo and finding a data point in the GPS track that matches, or interpolating a point between two other data points.

GNU Gama is a program for the adjustment of geodetic networks. It is useful in measurements where Global Positioning System (GPS) is not available, such as underground. It features the ability to adjust in local Cartesian coordinates as well as partial support for adjustments in global coordinate systems.

This package provides an implementation of the function bioFabric for creating scalable network digrams where nodes are represented by horizontal lines, and edges are represented by vertical lines.

Faiss is a library for efficient similarity search and clustering of dense vectors. This package provides Python bindings to the Faiss library.

Leiden is a general algorithm for methods of community detection in large networks and is an extension of the Louvain algorithm. This package implements the Leiden algorithm in C++ and can be run on graphs of millions of nodes (as long as they can fit in memory).

This package provides a library for the analysis of networks and graphs. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.

The PyGSP is a Python package to ease signal processing on graphs.

rw computes rank-width and rank-decompositions of graphs.

Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most other Python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance that is comparable (both in memory usage and computation time) to that of a pure C/C++ library.

This package implements the Louvain algorithm for community detection in C++ and exposes it to Python. Besides the relative flexibility of the implementation, it also scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The core function is find_partition which finds the optimal partition using the louvain algorithm for a number of different methods.

The plfit command fits power-law distributions to empirical (discrete or continuous) data, according to the method of Clauset, Shalizi and Newman (Clauset A, Shalizi CR and Newman MEJ: Power-law distributions in empirical data. SIAM Review 51, 661-703 (2009)).

This package provides a library for the analysis of networks and graphs. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.