Open Source Python Data Visualization Software - Page 10

During acoustic surveys of marine ecosystems, fisheries scientists need to quickly interpret large amounts of echosounder data and decide whether and where to sample for targeted organisms. The Python Open Source Echosounder Toolkit (pyOSET) was designed to facilitate this process by providing near real-time visualization of network data broadcasts from multiple echosounder systems, and to serve as a framework for implementation of algorithms to detect, locate, and identify fish or the seabed. An Alpha release of the software is available under the GNU General Public License, version 2. Many practical aspects of the user interface are still in the planning and development phase. Those who wish to participate in the development of pyOSET are encouraged to subscribe to the Developer's Mailing List. End users who want up to date information on the status of releases should periodically check the project News link above, or subscribe to the RSS feed of that page.

PyOSG is a python wrapper for the OpenSceneGraph. Version number corresponds to the version of OpenSceneGraph that PyOSG should work with (e.g. PyOSG 2.8 should work with OpenSceneGraph 2.8.x). Still in early stages, so email mday299 if any problems!

General plugins for the QGis tool http://www.qgis.org. The plugins will be mostly written in python language. The idea is to contribute to the GIS open source software community.

Quick2dPlot, or q2d for short, is an open source minimalistic plotting program designed for live 2d graphical representation of data streams. The program may be useful for plotting output of different user's application programs, especially in case when the user wants to see a plot or a number of plots during calculations or a data acquisition process. The program is command-driven and uses no widgets. Q2d is written in C, it takes advantage of SDL2 library for plotting. Currently it has been tested under Linux and under Windows via Cygwin.

Graphical user interface for gnuplot to create publication quality figure very quickly. It supports templates for fast formatting of graphics, different plot styles, insets, axis and label options. One important feature is storing metadata in png and pdf files that can be used to reload any graph saved with QuickPlot.

Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3

Reliability Oriented Bioinformatic Networks Visualization

Rocksnake takes localities from geological mapping projects and plots them in 2D, over an optional basemap. Each locality has all the standard geology notebook contents and photos attached to it which can then be viewed from Rocksnake.

Explore InSAR data and more

GitHub Actions manages automatic synchronization of runs and generation of new pages. Gatsby-generated static pages, fast. Support for Vercel (recommended) and GitHub Pages automated deployment. React Hooks. Mapbox for map display. Supports most sports apps such as nike strava. Automatically backup gpx data for easy backup and uploading to other software.

Space Time Analysis of Regional Systems: Combines a suite of geocomputational and dynamic visualization modules for the exploratory analysis of data measured for spatial and temporal units.

SVGGraticule let's you create graticules and measured grids used on maps as SVG files.

SZARP is a full-featured, open source (GPL) SCADA system for Linux. Client programs are available for Linux and Windows.

A GUI built using Python 2.3+, wxPython and PyOpenGL for the mathematical modeling and visualization of landscape and streamflow systems. This visualization tool uses the Channel-Hillslope Integrated Landscape Development (CHILD) model as its backend.

The Scientific Visualization Artist Tools (SVAT) include converters from the Visualization Toolkit (VTK) to RenderMan Interface Bytestream (RIB) (ASCII and binary files supported), Blender to RenderMan, compilable RenderMan shaders and other utilities.

SenseRank Sys: - builds the dictionaries (multidim matrices) of words’ values; - for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense

This project delivers Linux support (USB driver and Tools) for a Digital Signal Processor (DSP) cards of the Signal Ranger series, see http://www.softdb.com/product_dsp.shtml for details) connected to a Linux host via USB.

C++ and Python based open source graph visualization and analysis software, primarily intended for use in the analysis of social networks (other applications are also conceivable).

SloppyPlot is a tool to import scientific datasets and create 2D plots from this data. There is a gnuplot postscript export available.

Soto is a graphical message debugger for simpleIPC. In addition to displaying the message traffic between processes, it can log and play back this traffic. Soto also provides the ability to design GUI "panes" that are populated with data from messages.

Now maintained at github.com/spacepy/spacepy Space Science library for Python - contains superposed epoch classes, drift shell tracing, access to magnetic field models, streamline tracing, bootstrap confidence limits, time and coordinate conversions, etc.

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

The Stats Jam project is an extension to Mediawiki that allows users to embed database queries and visualisations into their wiki pages.

StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can contain people as nodes and friendships between them as links, with data like a person’s age and the date a friendship was established. StellarGraph supports the analysis of many kinds of graphs. StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn.