Showing 3 open source projects for "dashboards"

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  • 1
    Quadratic

    Quadratic

    Data science spreadsheet with Python & SQL

    Quadratic enables your team to work together on data analysis to deliver better results, faster. You already know how to use a spreadsheet, but you’ve never had this much power before. Quadratic is a Web-based spreadsheet application that runs in the browser and as a native app (via Electron). Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today...
    Downloads: 16 This Week
    Last Update:
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  • 2
    Dask

    Dask

    Parallel computing with task scheduling

    Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines.
    Downloads: 0 This Week
    Last Update:
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  • 3
    TensorWatch

    TensorWatch

    Debugging, monitoring and visualization for Python Machine Learning

    ...A distinctive capability is its “lazy logging” mode, which lets users query live training processes without pre-instrumenting all metrics ahead of time. TensorWatch supports multiple chart types and can be extended with custom visualizers and dashboards, making it highly adaptable for research workflows. Overall, the project acts as a powerful observability layer for ML experimentation, helping practitioners diagnose model behavior and compare runs more efficiently.
    Downloads: 0 This Week
    Last Update:
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