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

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.

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.

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.

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.

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.

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.

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.

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.

PyUNLocBoX uses proximal splitting methods to solve non-differentiable convex optimization problems.

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 package provides a reference implementation of the linear time edge addition algorithm for embedding planar graphs and isolating planarity obstructions.

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning.

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)).

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 provides a pure Python implementation of the Louvain algorithm for community detection in large networks.

This package provides tools for building and manipulating graphs in Python.

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

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.

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.

Leiden is a general algorithm for methods of community detection in large networks and is an extension of the Louvain algorithm. This packages provides a Python wrapper to the C++ implementation.

This package provides an alternative build of Faiss.

LEMON is a C++ template library providing efficient implementations of common data structures and algorithms with focus on combinatorial optimization tasks connected mainly with graphs and networks. This is the OpenROAD Project's fork with C++20 compatibility fixes.