Open Source Python Data Visualization Software for Linux

Python Data Visualization Software for Linux

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Browse free open source Python Data Visualization Software for Linux and projects below. Use the toggles on the left to filter open source Python Data Visualization Software for Linux by OS, license, language, programming language, and project status.

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  • 1
    matplotlib
    Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
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    Downloads: 67 This Week
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  • 2
    Matplotlib

    Matplotlib

    matplotlib: plotting with Python

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy). Matplotlib is the brainchild of John Hunter (1968-2012), who, along with its many contributors, have put an immeasurable amount of time and effort into producing a piece of software utilized by thousands of scientists worldwide. Matplotlib is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. Matplotlib has support for visualizing information with a wide array of colors and colormaps.
    Downloads: 7 This Week
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  • 3
    TransPose

    TransPose

    PyTorch Implementation for "TransPose, Keypoint localization

    TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on.
    Downloads: 1 This Week
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  • 4
    A Python interface to the gnuplot plotting program.
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    Downloads: 3 This Week
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  • 5
    GUESS, or the Graph Exploration System, is a system and language for visualizing and manipulating graph structures and creating new visualization applications.
    Downloads: 8 This Week
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  • 6
    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.
    Downloads: 7 This Week
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  • 7
    g2 is an easy to use, portable and powerful 2D graphics library. It provides a comprehensive set of functions for simultaneous generation of graphical output on different types of devices.
    Downloads: 2 This Week
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  • 8
    Python library for a fast and flexible graph data structure.
    Downloads: 2 This Week
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  • 9
    ADOMA
    ADOMA stands for: Alternative Display Of Multiple Alignment. ADOMA can create four different displays of a multiple sequence alignment: a ClustalW alignment in HTML format, a simplified ClustalW alignment in HTML and/or txt format and a colored ClustalW alignment in HTML format. For examples of these outputfiles check the screenshots. ADOMA uses ClustalW to create the multiple alignment from DNA or protein sequences and displays them slightly different than the normal output of ClustalW. ADOMA is a commandline program that can easily be used in pipelines. For more information check the README.md in the Files section. How to cite ADOMA: Zaal, D. and Nota, B. (2016), ADOMA: A Command Line Tool to Modify ClustalW Multiple Alignment Output. Mol. Inf., 35: 42–44. doi: 10.1002/minf.201500083 http://onlinelibrary.wiley.com/doi/10.1002/minf.201500083/abstract
    Downloads: 0 This Week
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  • 10
    AR-ICE
    Simplified interface to the Augmented Reality library ARToolKit for Python and other programming languages.
    Downloads: 0 This Week
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  • 11
    An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
    Downloads: 0 This Week
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  • 12

    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.
    Downloads: 0 This Week
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  • 13
    Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.
    Downloads: 0 This Week
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  • 14
    ExpLab is a set of tools that supports the running, documentation and evaluation of computational experiments.
    Downloads: 0 This Week
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  • 15
    ATTENTION! ExpTools has been renamed to ExpLab To visit the new homepage click on "Home page".
    Downloads: 0 This Week
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  • 16
    File-Spector is a small, fast and easy to use binary file analyzer and Inspector. It allows the users to format a complete binary file structure and then use it to read any binary file that matches the specified format.
    Downloads: 0 This Week
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  • 17
    Downloads: 0 This Week
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  • 18
    GDL - GNU Data Language, a free IDL (Interactive Data Language, see http://ittvis.com/idl/) compatible incremental compiler.
    Downloads: 0 This Week
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  • 19
    Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible. The repository is located at http://github.com/gaphor/gaphor.
    Downloads: 0 This Week
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  • 20
    Python language bindings for the GtkExtra widget set. GtkExtra is a useful set of widgets for the GIMP Toolkit, aka GTK+. It provides a spreadsheet-like matrix widget and widgets for 2-D and 3-D graphing.
    Downloads: 0 This Week
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  • 21
    ILNumerics.Net
    math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
    Downloads: 0 This Week
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  • 22
    Karesansui is an open-source virtualization management application made in Japan. It's smart graphical user interface lowers your management cost, and brings a total management/audit solution for both physical and virtual servers. Full featured RESTful interface allows customizing and integration with other management/billing systems.
    Downloads: 0 This Week
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  • 23
    MSCViewer

    MSCViewer

    A tool for visualization and analysis of logs as sequence diagrams

    MSCViewer is a tool intended for debugging of control flows in concurrent, distributed systems. The tool loads logs generated by various entities in the system and visualize a sequence diagram chart for events and interactions. The diagram is fully interactive: entity can be added/removed from the diagram and shuffled; events can be filtered, searched, highlighted and annotated with comments. MSCViewer features integration with a Python interpreter which allows writing Python scripts interacting with the model. This powerful feature can be used to automate validatation of distributed control flows, integrate with graphing infrastructure, etc.
    Downloads: 0 This Week
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  • 24
    Matlab/Octave to Python conversion facility. The tool will take existing scripts and convert them to Python. Also includes Python bindings to Octave and a small runtime support library. Built on top of Numeric Python extensions.
    Downloads: 0 This Week
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  • 25
    Ocular is a spreadsheet written entirely in python. Cell contents are evaluated by python after any standard spreadsheet coordinates are parsed. This allows the full Monty from Python to be implemented in a visual environment.
    Downloads: 0 This Week
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