Showing 3 open source projects for "warehouse"

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    MetricFlow

    MetricFlow

    MetricFlow allows you to define, build, and maintain metrics in code

    ...It works alongside a data stack—typically built with dbt—and allows you to express metrics as YAML‐based definitions tied to semantic models and dimension tables, rather than embedding logic ad-hoc across many dashboards or scripts. When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized, warehouse-specific SQL to compute that metric, handling joins, filters, time grains, offsets, and other complexities under the hood. Because metric definitions live centrally, you avoid duplication across teams and tools, reduce risk of inconsistent numbers, and make it easier to audit and evolve the logic over time. The project emphasizes explainability, performance and portability: you define metrics once and then they can be consumed in BI tools, notebooks, or even AI/agent-driven workflows.
    Downloads: 0 This Week
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  • 2
    An Excel addin and server framework for implementing remote excel user-defined functions (UDFs). This framework is designed to provide a centralised warehouse of functions for Excel users (eg. within an organisation).
    Downloads: 0 This Week
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  • 3
    y_serial: warehouse Py objects w/ SQLite
    Serialization + persistance : in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data.
    Downloads: 0 This Week
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