Open Source Python Data Visualization Software - Page 11

Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Shows how a target value (e.g. "Survived" in the Titanic dataset) relates to other features. Sweetviz integrates associations for numerical (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to provide maximum information for all data types. Automatically detects numerical, categorical and text features, with optional manual overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness.

Metropolis is a visualization tool for TRANSIMS traffic simulation output. It specializes in viewing the dynamic outputs of the micro-simulator, such as vehicle motion and other time-varying data.

This is a tool to organize and present complex, interrelated ideas visually in different ways. It aims to be many tools all at the same time -- outliner, mindmapping and concept mapping tool, PIM, project manager and tracker, literate programming editor,

The Taurus Project has *moved* to: https://github.com/taurus-org/taurus This SourceForge page is *outdated* and kept for historical reference only. Taurus is a python framework for control and data acquisition CLIs and GUIs in scientific/industrial environments. It supports multiple control systems or data sources: Tango, EPICS, ... New control system libraries and data sources can be integrated through plugins.

The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a lot of functionality on top of tensorboard such as dataset management, diffing experiments, seeing the code that generated the results and more. Create special chart by collecting charts tags in ‘scalars’. Note that this function can only be called once for each SummaryWriter() object. Because it only provides metadata to tensorboard, the function can be called before or after the training loop.

The CCP1GUI project aims to develop a free, extensible Graphical User Interface to various computational chemistry codes developed by the worldwide academic community, with an emphasis on ab initio Quantum Chemistry codes.

This software enables easy creation and sharing of district maps online.

Data mines the voting record and other actions of Members of the UK Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs.

VisIt is an interactive parallel visualization and graphical analysis tool for viewing scientific data.

The Zope Weather applet allows you to access weather information as served by the NOAA (http://www.noaa.gov) directly from withing Zope scripting or templating languages. By default it looks similar to the Gnome Weather Applet.

ThemaVis is a Python library for thematic cartography. It allows creating print-quality (as SVG files) and interactive maps (for OpenLayers using the ThemaVis JavaScript library) in a easy and automatic way.

Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.

Creates interactive plots of data lines over a time scale. Automatic detection of input format and scale will result in instantaneous results without any need for configuration.

A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.

This tool generates timing diagrams for documenting hardware design. It reads the description from a text file with a simple syntax. It generates vector graphic (EPS, SVG or EMF format). It can be used in command line mode or with a GUI. It is written in Python and works on any platform.

This project will design a CAD engine architecture which allows algorithms to be designed using Python and a robust GUI architecture.

Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems.

program which solves the poisson problem using multigrid and finite elements

VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk

VR Juggler is a virtual platform for virtual reality application development created at the Virtual Reality Applications Center at Iowa State University. Applications developed in VR Juggler can transparently move between a wide range of VR systems.

The VR Juggler Toolbox is a collection of libraries and tools for use with VR Juggler applications.

A python package which aids in the analysis of ViEWER (http://www.webpages.uidaho.edu/~bdyre/viewer.htm) epoch logs. A wxPython GUI helps the user build a python script which uses the package to perform timeseries and spectral analyses.

Viewmol is a graphical front end for computational chemistry programs. It is able to graphically aid in the generation of molecular structures for computations and to visualize their results.

VisAD is a Java component library for interactive and collaborative visualization and analysis of numerical data.

Vispy is an open-source, high-performance interactive visualization library in Python, designed for creating scientific visualizations and interactive plots. It leverages the power of modern Graphics Processing Units (GPUs) through OpenGL to render large datasets efficiently. Vispy supports a wide range of visualization types, including 2D plots, 3D visualizations, volume rendering, and more, making it suitable for scientific research, data analysis, and educational purposes.