Label Studio
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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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BreadcrumbList
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SoftwareSourceCode
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"name": "Hugging Face"
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"dateModified": "2026-08-27T03:10:33Z",
"description": "Label Studio is an open-source data labeling platform for multi-modal ML datasets and enterprise MLOps integration.",
"keywords": [
"Open Source",
"Application",
"Continuous Integration and Continuous Deployment",
"Datasets",
"Enterprise",
"IT Governance",
"Machine Learning",
"Machine Learning Operations",
"Natural Language Processing",
"Open Source",
"Representational State Transfer"
],
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"name": "HumanSignal"
},
"name": "Label Studio",
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"name": "HumanSignal"
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"url": "https://labelstud.io/"
}
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/
Storage https://decisioninsights.ai/term/sd-storage/
Application https://decisioninsights.ai/term/application/
and 9 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 OpenLLM, RStudio, Logstash, CVAT (Computer Vision Annotation Tool), GitLab, StableLM, JupyterLab, LMMS
Related organizations Hugging Face, Explosion, LAION, Scale AI, ClearML, Argilla, Cloudera, ZenML