Open Source Linux Data Visualization Software - Page 97

ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data.

ggrepel is an R package that provides “smart” repulsion for text and label geoms in ggplot2. When placing text labels on a plot (e.g. labeling points), the labels can often overlap; ggrepel ensures labels don’t overlap (or overlap less) by repelling labels / pushing them away, adding connecting lines or nudges, etc. It improves the readability of plots, especially when many labels are present. Support for point and segment geoms (so labels can be connected by lines when moved). Supports both plotting of labels inside or outside plot area, with trimming/clipping etc.

{ggstatsplot} is an extension of {ggplot2} package for creating graphics with details from statistical tests included in the information-rich plots themselves. In a typical exploratory data analysis workflow, data visualization and statistical modeling are two different phases: visualization informs modeling, and modeling in its turn can suggest a different visualization method, and so on and so forth. Bayesian hypothesis-testing. The central idea of {ggstatsplot} is simple: combine these two phases into one in the form of graphics with statistical details, which makes data exploration simpler and faster. Summary of statistical tests and effect sizes.

giv, The G(reat|tk|NU) Image Viewer, is a 8-bit to 32-bit and floating point image and vector viewer for gtk+. It is designed especially for scientific vision and computational geometry and has support for drawing vector graphics on top of an image.

glomp is an open source multipipe OpenGL library. Its intent is to automatically distribute 3D graphics computations over multiple graphics card on the same machine.

gloost is a free software, platform independent framework for OpenGL programming. It includes handy wrappers for most OpenGL entities. gloost can be used freely under the terms of the GPL. It is also possible to get gloost licensed under the terms of the LGPL for selected projects. Please contact Felix Weißig ( thesleeper@gmx.net ) if you are interested to licence gloost under the LGPL.

Simulates and visualizes swarming algorithms with limited communication. Also provides an interface to animate particle motion by playback (with pause, fastforward, and rewind) of path information from files. Can output EPS figures and avi frames.

A server/client suite that enables a client device to send data through a network, where it will be eventually plotted by the server. It will plot to an X/Y type graph which will autoscale. The server will allow multiple clients to connect and send data

This library is a Fortran 95 gnuplot interface for some Unix like OS'es. This provides some routines that enables direct access of a child gnuplot session from a Fortran 95 program. You will need a copy of fortranposix to make this work.

This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.

gorbital is a atomic orbital viewer written using gtkmm (gtk--). gorbital displays a 3d interactive view of a electron orbitals. It is meant to be an open source viewer much like Orbital Viewer by David Manthey (http://www.orbitals.com/orb/).

Gplot provides a convenient front-end for gnuplot. It accepts a large set of options to generate a single plot of one or more sets of data (overlaid as necessary).

graphICs is used to visualize IC-layout-data from GDS II-files. It reads a stream of GDS II-records, optimizes it by removing objects smaller than a user-defined minimal size an writes it to Asymptote-code. This code can be translated via Asymptote to PDF, PNG or other formats. The output can be specified to be printed on an A-format paper, portrait or landscape, top/right, center or bottom/left align. To use graphICs you need to download the JAR-file containing the program (no installation needed) and the MAP-file containing the color-information for the design (you can modify it or you create your own). To create graphic or PDF-files you need to download Asymptote from asymptote.sourceforge.net. Look at http://sourceforge.net/p/graphicsic/wiki/Usage/ for the Usage. You can download the actual version of graphICs, an example MAP-file and the Bachelor-Thesis about graphICs on the download page.

Visualize Go module dependencies in Graphviz DOT format. Run graphdot in the directory of any project using Go modules with a go.mod file to print out a dependency graph in Graphviz DOT format. The output can be piped directly into dot to generate a PNG image file. For large graphs with many nodes of dependencies, you may want to generate an SVG file to allow you to zoom in with high fidelity and save disk space instead. If you like a more UML'ish style, you can use the provided graph properties from uml.gprops.

graphite: a portable graphics library, written in Java, JOGL and Postscript that allows rapid generation of high-quality graphs using an efficient, compact Java engine.

A small utility for visualizing graphics of the wide math function list. Based on Glade/GTK+ toolkit so integrates into GNOME flawlessly. Uses mathGl library for drawing purposes, see http://mathgl.sourceforge.net/

Interactive Perl environment for data analysis. It consists of several integrated tools such as a Plotting tool, Interactive Shell, and more. Written entirely in Perl using Tk.

Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.

The h5mma package provides improved support for reading HDF5 files in Mathematica. It is significantly faster, more memory efficient and crash resilient than the built-in HDF5 reading support. h5mma has moved to BitBucket: https://bitbucket.org/simulationtools/h5mma

Harkay un software desarrollado en Python para la administraccion de un firewall de acceso a internet diseñado teniendo en cuenta su facilidad de uso y potencia. La politica por defecto es denegar todo habilitando puntualmente lo que se desea.

heatmap.js is a lightweight, easy to use JavaScript library to help you visualize your three dimensional data! Use it to add new value to your project, build a business based on it, study and visualize user behaviour, or why not build something completely crazy/awesome? Whether you want to have an aggregated overview of your users behaviour, or look at thousands of events distributed on a map, heatmap.js has all your heatmap visualization needs covered! Because it is the most advanced heat map visualization library on the web. It has a light footprint (~3kB gzip) and with the new 2.0 release heatmap.js just got faster and better. With only a few lines of code you can create your own interactive web heatmap. heatmap.js' API is all documented, also prioritized, so you can start developing right away! Heatmap.js is not a user behaviour tracking script. It simply creates dynamic heatmaps based on the data you feed it.

Generic multilevel hyper graph library including basic visualization tools.

hlv is a collection of high level view plugins for eclipse. A the moment it will just be a call graph view using the zest toolkit and GEF.

hrbrthemes is a focused ggplot2 theme package with an emphasis on typography, layout precision, and visual polish. It includes themes like theme_ipsum and Font scales tailored for clean, high‑quality production graphics.

Python project with goal to provide FOSS library to extract, analyse and visualise data in a 3D fashion. The instance will connect to a data source, ods sheet, csv, sql DB, pyodbc the instance will analyse and/or transform the data to be presented to the visualisation functionality the instance will visualise the data in a 3D fashion, likely using third party FOSS