Open Source Python Data Visualization Software - Page 5
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Python Data Visualization Software
View 448 business solutionsBrowse free open source Python Data Visualization Software and projects below. Use the toggles on the left to filter open source Python Data Visualization Software by OS, license, language, programming language, and project status.
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BasisViewer
Browse and visualize your downloaded Basis Band B1 biometric data
This application allows you to graph your Basis data in several ways and allows you to easily move across dates, plot mulitple attributes simultaneously, and understand trends and answer questions. This application assumes you've already run the BasisRetriever application and downloaded your metrics in csv format. -
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An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
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Biggles is a 2D scientific plotting package for Python, geared toward the production of publication-quality plots.
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Blender Multibool, Searching for Fractal
Multibool function is slow ;)
Booleans all meshes on the screen. Plus: A fractal generator and attractor generator with a delicious SEARCH function ;) <meta name="google-site-verification" content="cULQewNGfx-aXCQR9fTJZ1Z7DXbLA5GjqjvAfF_oH5I" /> -
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Bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook. -
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COV2HTML
A visualization and analysis tool of Bacterial NGS data for Biologists
COV2HTML provides an easy and 'in home' web interface for biologists that allows coverage visualization of the NGS alignment needed for the analysis. It combines two essential processes: (i) MAP2COV, a tool that converts the huge NGS mapping or coverage files into light specific coverage files which contains genetic elements informations. (ii) COV2HTML, a visualization interface allowing a real-time analysis of data with selected criteria. Thus this interface offers a visualization of NGS mapping coverage data (DNA-seq, RNA-seq, ChIP-seq and TSS) performed in different prokaryotic organisms (bacteria, viruses...) or different experimental conditions (mutant versus wild type strains or different growth states…) facilitating studies. -
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CairoPlot is a Python module to plot graphics in an easy and intuitive way, creating beautiful results for presentations, websites and reports.
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Cellicone is a project to develop an artificial life organism with the necessary components to make it comparable to biological life as we know it. This includes components ranging from proteins to cells to organs to limbs, and many steps between.
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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Chartshare is a computer based system for the production, analysis, and distribution of Standard Celeration Charts (http://www.celeration.org).
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clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
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CoSimA+
The Co-Simulation Adaptation Platform
The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform. -
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CollectD-CSV Plotter
Web interface for visualizing CSV data from CollectD monitoring system
CollectD-CSV Plotter is a web interface for fetching and visualizing data that is saved in CollectD CSV format. An HTML form is used for defining the time interval and choosing the wanted measurements. The plotter is actually a front-end for collectd-csv module (http://pypi.python.org/pypi/collectd-csv/), which it uses for fetching the data. Technologies CollectD-CSV Plotter uses include CGI/Python, HTML5/JavaScript, jQuery, jQuery-UI and Gnuplot. -
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Computer Controlled Optical Microscopy is a package to enable camera equipped microscopes to generate multi-modal time-lapse image sequences of 3D volumes. This is achieved by periodically changing optical settings, xyz positions and acquiring images.
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Data logger, manipulator and visualizer. Receives data in CSV format from stdio.
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Software written in Python to take oscilloscope data for a data transmit channel and a data clock as inputs, and output an eye diagram. The eye diagram helps evaluate the quality of the transmit data.
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DeepH-pack
Deep neural networks for density functional theory Hamiltonian
DeepH-pack is the official implementation of the DeepH (Deep Hamiltonian) method described in the paper Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation and in the Research Briefing. DeepH-pack supports DFT results made by ABACUS, OpenMX, FHI-aims or SIESTA and will support HONPAS. -
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DiaCanvas is a library for drawing diagrams. It is completely Model/View/Controller based and has a Visio (DIA) look. The package also contains a Python wrapper for the library.
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Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.
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A 3D data visualization tool, specializing in the display of robotically collected point, range, and volumetric data. Provides a very flexible framework for different file formats and visualization parameters.
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ELINT Alchemist
Plot, analyse and measure ELINT Time-Based data.
This program will open an ELINT Time-Based Data (TBD) file and plot it for purposes of measurement and analysis. Test files included. New ver 0.4 added 2018-01-01. -
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Electronic Constructor
Programs for electronics study and research
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ExpLab is a set of tools that supports the running, documentation and evaluation of computational experiments.
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