Showing 14 open source projects for "network visualization"

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    Grafana

    Grafana

    Leading open-source visualization and observability platform

    Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich...
    Downloads: 14 This Week
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  • 2
    WinPython

    WinPython

    Portable Scientific Python 2/3 32/64bit Distribution for Windows

    WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. Since September 2014, Developpement has moved to https://winpython.github.io/
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    Downloads: 3,304 This Week
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  • 3
    Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
    Downloads: 0 This Week
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  • 4
    ActiveFolder

    ActiveFolder

    ActiveFolder can be integrated with existed scientific computation.

    Welcome to the ActiveFolder project, the open source for management simulataion data and reproducing. ActiveFolder provide data reproduction for comparative study and searching reproduction data, by storing data coupled with provenance information. ActiveFolder is integrated existed grid computing service and cloud services. And also, ActiveFolder can be integrated with existed scientific computation, analysis and visualization software without modification.
    Downloads: 0 This Week
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  • 5
    PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
    Downloads: 1 This Week
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  • 6
    A bioinformatics tool for the annotation and tag-counting of next-gen Illumina Solexa datasets. TASE works with CASAVA 1.0 builds, providing annotation, tag counts and visualization in a rapid manner.
    Downloads: 0 This Week
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  • 7
    Python based webservice to manage and display information from some fiber-GISes.
    Downloads: 0 This Week
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  • 8
    This software enables easy creation and sharing of district maps online.
    Downloads: 0 This Week
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  • 9
    Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.
    Downloads: 0 This Week
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  • 10
    PepT-IDE is a protein analysis tool that is used for multiple sequence alignment, 3D visualization and displaying protein contact maps for protein sequences and structures. It also has feedback communication between the different views of the protein.
    Downloads: 0 This Week
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  • 11
    A toolbox of open source geospatial essentials
    Downloads: 0 This Week
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  • 12
    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).
    Downloads: 0 This Week
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  • 13
    A Open Source project with the main goal to make a simple way to display 3D objects from a Geodatabase (PostgreSQL/PostGIS) on the Web. This project was created by OpenGEO (www.opengeo.com.br).
    Downloads: 0 This Week
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  • 14
    Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.
    Downloads: 0 This Week
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