Deepnote
@DeepnoteHQ
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The AI-powered data workspace. Get started for free.
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Joined August 2019
@DataChaz @DeepnoteHQ Wow this is actually massive. Deepnote going open-source is a big win for the data community. Jupyter really set the foundation, but this feels like the next evolution, collaborative, reactive, and AI-ready. Can’t wait to try it out!
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This is BIG. Deepnote, a company I’ve followed and used since its creation, just OPEN-SOURCED their modern notebook framework 🔥 And honestly, this could be the final chapter for Jupyter. After 7 years of development, @DeepnoteHQ has built something that redefines the notebook
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From big news on day 1 of #JupyterCon to the hot seat on day 2, @jakubjurovych of @DeepnoteHQ is with @ha_joslyn. Deepnote has had quite the journey and we're getting a peak behind the curtain, from early challenges to going open source.
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A collaborative analytics and data science platform makes the move "so the community has a standard that is purpose-built for AI," says @DeepnoteHQ CEO @jakubjurovych
thenewstack.io
A collaborative analytics and data science platform makes the move "so the community has a standard that is purpose-built for AI," says Deepnote CEO.
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We've spent 7 years building the data notebook for AI era. Today, we're open sourcing it. Deepnote Open Source is successor to the Jupyter notebook. It acts as a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use
github.com
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnot...
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We just shipped three huge updates for teams that care about control, security, and scale. 🤖 Bring your own AI model Enterprise workspaces can now connect any OpenAI-compatible endpoint to power Deepnote Agent. Full control over compliance, infrastructure, and performance. 🧑💻
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Last week we wrapped our annual Deepnote offsite, this time in Bilbao! 🌊 One full week together, brainstorming strategy, hacking on new ideas, catching waves, hiking, caving, and a fiercely competitive MasterChef cook-off. Each morning, a different team stepped up to prepare
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We’re honored to be the official (and only) Diamond sponsor of JupyterCon! 🪐 Better yet, our founder & CEO, Jakub Jurovych, is keynoting on data notebooks in the AI decade. How notebooks became the runtime for collaborative AI, how teams turn explorations into reliable systems,
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Breakthrough research shouldn’t wait on GPUs. @OmicVision gets on-demand compute and ships insights 10x faster with Deepnote. Full case study in comments.
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Trash talk is part of gaming...until it isn’t. We ran 638 real DOTA 2 chat messages through a LLM moderator to see why sarcastic one‑liners keep slipping past keyword filters and how AI can spot them in real time. Toxic messages are shorter, burstier, and easier to flag when
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Robberies in Alaska rise with professor salaries in the US. Clearly, well-paid professors fund elaborate Alaskan heists on summer break. Coincidence? Probably. Worth plotting? Absolutely. Data via https://t.co/m7xFnWr3mt, recreated in Deepnote.
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10× is giving every analyst an AI side-kick. 100× is letting agents pull your data for you. This is the extra mile to boost your productivity: - Serve your workspace over MCP, so the AI agent can fetch the tables, metrics, or notebooks it needs. - Wire it into something
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Yesterday, we shipped one of our most requested updates! 🚀 🔵 Unlimited charting: Visualize datasets with millions of rows directly from Pandas DataFrames, without any preprocessing. 🔵 @ References in AI prompts: Boost precision by referencing specific integrations and
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Who knew Jeff’s real secret weapon was psychology grad students? 👀 Data via https://t.co/m7xFnWr3mt, recreated in Deepnote.
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RAG recalls text. @cognee_ remembers how it all fits together. See how graph-powered memory inside a Deepnote notebook boosts HotpotQA results from 0 to 50 % EM, slashes hallucinations, and lets you query data like a network graph.
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