Showing 4 open source projects for "unitils-test"

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    Cut Data Warehouse Costs by 54%

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  • 1
    Briefer

    Briefer

    Dashboards and notebooks in a single place

    Briefer is an open-source collaborative data platform that brings notebooks, dashboards, and interactive data apps into a unified workspace that combines the flexibility of code with the simplicity of visual exploration. It’s designed so technical users can write Markdown, SQL, and Python side by side for data analysis, visualization, and reporting, while non-technical viewers can interact with results through inputs, dropdowns, and date pickers without writing any code. Users work in a...
    Downloads: 1 This Week
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  • 2
    Durable Streams

    Durable Streams

    The open protocol for real-time sync to client applications

    Durable Streams is an open protocol and reference implementation designed to standardize reliable, resumable, real-time streaming between servers and client applications using simple HTTP semantics, filling a gap left by ephemeral technologies like WebSockets and traditional SSE. It defines an append-only, offset-addressable stream primitive where each stream is mapped to a URL that clients can read from or tail, supporting catch-up reads, historical replay, and live updates with robust...
    Downloads: 0 This Week
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  • 3
    SandDance

    SandDance

    Visually explore, understand, and present your data

    By using easy-to-understand views, SandDance helps you find insights about your data, which in turn help you tell stories supported by data, build cases based on evidence, test hypotheses, dig deeper into surface explanations, support decisions for purchases, or relate data into a wider, real world context. SandDance uses unit visualizations, which apply a one-to-one mapping between rows in your database and marks on the screen. Smooth animated transitions between views help you to maintain context as you interact with your data. ...
    Downloads: 0 This Week
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  • 4
    Facets

    Facets

    Visualizations for machine learning datasets

    ...Uncover several uncommon and common issues such as unexpected feature values, missing feature values for a large number of observation, training/serving skew and train/test/validation set skew.
    Downloads: 0 This Week
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