Project Jupyter
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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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"dateModified": "2026-08-27T03:10:36Z",
"description": "Project Jupyter is an open-source ecosystem for browser-based interactive computing and multi-language notebook workflows.",
"keywords": [
"Open Source",
"Authentication",
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"Enterprise",
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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/
Cybersecurity https://decisioninsights.ai/term/cybersecurity/
Data Center https://decisioninsights.ai/term/data-center/
and 7 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 JupyterLab, IPython, JupyterHub, Julia (OSS Project), Pandas (OSS Project), Apache Pivot, Perspective, Bokeh
Related organizations Uptrace, MariaDB.org, Dagster, DigitalOcean, FerretDB, Dataiku, Posit, Pallets