Showing 5 open source projects for "matplotlib-1.5.2"

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  • 1
    Ricks-Lab GPU Utilities

    Ricks-Lab GPU Utilities

    A set of utilities for monitoring and customizing GPU performance

    A set of utilities for monitoring GPU performance and modifying control settings. In order to get the maximum capability of these utilities, you should be running with a kernel that provides support for the GPUs you have installed. If using AMD GPUs, installing the latest AMD GPU driver or ROCm package may provide additional capabilities. If you have Nvidia GPUs installed, you should have Nvidia-smi installed in order for the utility reading of the cards to be possible. Writing to GPUs is...
    Downloads: 8 This Week
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  • 2
    Pyodide

    Pyodide

    Pyodide is a Python distribution for the browser and Node.js

    Pyodide brings the Python runtime to the browser by compiling Python and its scientific libraries to WebAssembly. It allows developers to run Python code directly in web browsers without a server, supporting packages like NumPy, Pandas, and Matplotlib. Pyodide opens up new possibilities for interactive data analysis, scientific computing, and educational tools in web environments, all while integrating seamlessly with JavaScript.
    Downloads: 0 This Week
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  • 3
    sparkmagic

    sparkmagic

    Jupyter magics and kernels for working with remote Spark clusters

    ...Automatic visualization of SQL queries in the PySpark, Spark and SparkR kernels; use an easy visual interface to interactively construct visualizations, no code required. Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or dataframes to a remote cluster (e.g. sending pretrained local ML model straight to the Spark cluster) Authenticate to Livy via Basic Access authentication or via Kerberos.
    Downloads: 0 This Week
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  • 4
    System Resource Monitor

    System Resource Monitor

    SRM a lightweight desktop app for real-time CPU and Memory monitoring.

    System Resource Monitor is a lightweight, Python-based desktop application designed for real-time monitoring of CPU and Memory performance. Built with Tkinter for the GUI, Matplotlib for dynamic graphing, and Plyer for cross-platform desktop notifications, this tool empowers users to keep track of CPU and memory usage efficiently. With customizable update intervals, data exporting capabilities, and built-in alerts for resource spikes, System Resource Monitor is perfect for anyone looking to keep an eye on their computer’s health without the bloat of heavier tools. ...
    Downloads: 0 This Week
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  • 5
    Ascetic is a Python and Matplotlib based Solaris monitoring and charting tool. The tool may also be run in an offline mode on any major operating system.
    Downloads: 0 This Week
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