This is the Linux app named MetricFlow whose latest release can be downloaded as mf_entry-v0.212.0.dev0+2607311617.cb03eb2a-x86_64-pc-windows-msvc.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named MetricFlow with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
MetricFlow
DESCRIPTION:
MetricFlow is an open-source semantic layer engine designed to help organizations define, manage, and query business metrics in a consistent, governed way. 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.
Features
- Centralized definition of metrics and semantic models in YAML for reuse and consistency
- On-the-fly generation of optimized SQL for different warehouses when a metric is requested
- Support for advanced metric types including ratios, expressions, cumulative, conversions and offset time measures
- Semantic graph modeling: linking semantic models, entities, dimensions and measures so joins and filters are handled automatically
- CLI and integration commands (list metrics, list dimensions, validate configurations, query metrics) for development and CI/CD workflows
- Open-source, vendor-neutral design aimed at portability and governance across BI, analytics, and AI tools
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/metricflow.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.