Feathr
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A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.
The record
This is what the machine sees: the exact JSON-LD an agent receives for this listing.
WebSite
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"codeRepository": "https://github.com/feathr-ai/feathr",
"dateModified": "2026-08-27T03:10:31Z",
"description": "Feathr is an open-source feature store framework for defining, managing, and serving machine learning features across batch and real-time systems.",
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"Open Source",
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"Inference",
"IT Governance",
"Machine Learning",
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What we add
Topic graph
A wire service tags a release with a category, once. It doesn't maintain a durable graph over time. We connect them to a topic graph an agent can query.
AI infrastructure https://decisioninsights.ai/term/ai-infrastructure/
Data Center https://decisioninsights.ai/term/data-center/
Storage https://decisioninsights.ai/term/sd-storage/
and 6 more
Counted facts
A protocol or open source project keeps no vendor list and publishes no figures of its own to check this against. This counts how it actually shows up across the graph -- articles that name it, the organizations named alongside it in those articles, similar projects, and organizations whose topic tags overlap with its own -- computed, not curated.
Related projects OpenFeature, Fledge, TensorFlow, Kubeflow, Hopsworks, FD.io, scikit-learn, KServe
Related organizations Hopsworks, Iguazio, Anyscale, ClearML, Hugging Face, Argilla, BentoML, Nebius