Showing 10 open source projects for "active"

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  • 1
    F1 Race Replay

    F1 Race Replay

    An interactive Formula 1 race visualisation and data analysis tool

    ...Users can scrub through time, jump between cars, and overlay performance graphs such as speed, sector times, and gap differentials to evaluate performance trends across laps. This deep dive capability turns passive viewing into active exploration, empowering enthusiasts and professionals to discover insights usually hidden in raw data. The viewer also supports annotations and bookmark capabilities so users can mark moments of interest for future review or comparison.
    Downloads: 16 This Week
    Last Update:
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  • 2
    VisPy

    VisPy

    Main repository for Vispy

    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.
    Downloads: 0 This Week
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  • 3
    Modin

    Modin

    Scale your Pandas workflows by changing a single line of code

    Scale your pandas workflow by changing a single line of code. Modin uses Ray, Dask or Unidist to provide an effortless way to speed up your pandas notebooks, scripts, and libraries. Unlike other distributed DataFrame libraries, Modin provides seamless integration and compatibility with existing pandas code. Even using the DataFrame constructor is identical. It is not necessary to know in advance the available hardware resources in order to use Modin. Additionally, it is not necessary to...
    Downloads: 0 This Week
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  • 4
    Cleanlab

    Cleanlab

    The standard data-centric AI package for data quality and ML

    cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you...
    Downloads: 0 This Week
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  • 5
    Encord Active

    Encord Active

    The toolkit to test, validate, and evaluate your models and surface

    Encord Active is an open-source toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling to supercharge model performance. Encord Active has been designed as a all-in-one open source toolkit for improving your data quality and model performance. Use the intuitive UI to explore your data or access all the functionalities programmatically.
    Downloads: 0 This Week
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  • 6
    Muse: Middleware Universal Scripting idE

    Muse: Middleware Universal Scripting idE

    Automate: WebSphere; WebLogic; JBoss; Glassfish; Tomcat; Linux, WinRM

    ...Win x64, Linux WINE x64. Built-In JVM. Java 8/9/10, Amazon Corretto, JETPack13/14/16, IBM SDK Compatible. *** Now with powerful JBoss / GlassFish / Tomcat / Linux Active Auditing Framework. Tomcat / Glassfish 2 Python - Configuration Snapshots *** Infrastructure-as-Code, Code-Writing-Code Designed to Run on JETPack: https://sourceforge.net/projects/jetpack Muse.2026.03.x - Win 10 / Win11 / Linux (WINE) Muse.2025.12.x - Win8 / Win 10 / Win11 / Linux (WINE)
    Downloads: 2 This Week
    Last Update:
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  • 7
    LIFETIMES

    LIFETIMES

    Lifetime value in Python

    LIFETIMES is a Python library for customer lifetime value and repeat purchase behavior modeling. It helps analysts estimate how frequently customers may return, how long they may remain active, and how much value they may generate over time. The library is built around probabilistic models commonly used in customer analytics, including transaction frequency and monetary value modeling. It is useful for ecommerce, subscription-adjacent businesses, retail analytics, and retention analysis. The repository is now archived, so it should be treated as a stable historical project rather than an actively developed package. ...
    Downloads: 0 This Week
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  • 8
    ulogme

    ulogme

    Automatically collect and visualize usage statistics in Ubuntu/OSX

    ulogme is a local activity-tracking tool for visualizing how computer time is spent throughout the day. It records the title of the active window and the frequency of key presses, then turns those logs into interactive HTML timelines. Users can add notes to specific moments or summarize an entire day for additional context. Everything is stored and processed locally rather than uploaded to a remote service. Its browser interface is built with HTML, CSS, JavaScript, and D3 and supports both daily and overview views. ...
    Downloads: 0 This Week
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  • 9

    VPython

    This project is no longer active. See vpython.org.

    This project is no longer active. See vpython.org.
    5.0 out of 5 stars 3 Reviews
    Downloads: 1 This Week
    Last Update:
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  • 10

    pflexible

    A python tool for data analysis of FLEXPART transport modeling.

    This software is being created to work with FLEXPART and other atmospheric transport model ouput. FLEXPART is a Lagrangian particle dispersion model written by Andreas Stohl. It is in active development at NILU and by Sabine Eckhardt, John Burkhart and numerous other research groups worldwide. For more information on FLEXPART visit the homepage Contact A maillist has been set up for users at sourceforge. Please direct inquiries via the pflexible_maillist Direct inquiries may be sent to:: John F Burkhart, University of Oslo [john.burkhart](mailto://john.burkhart@geo.uio.no) Get the Code: BitBucket Clone the bitbucket repository: %hg clone https://bitbucket.org/jfburkhart/pflexible pflexible
    Downloads: 0 This Week
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