QuantStack
Circuit mix
Where QuantStack shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science100%11 events
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| PyData | ||||||||||
| JupyterCon | ||||||||||
| Compute! | ||||||||||
| SciPy Conference (Scientific Computing with Python) |
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- JupyterCononce, 2023, Platinum
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Rice University0.96
- prefix.dev0.89
- Space Telescope Science Institute0.85
- The George Washington University0.82
- Streamlit0.81
- University of Chicago0.78
- Posit0.78
- Quansight0.77
8 Cluster: PyData · posit::conf circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 2i2c | 1 | 100% |
| Adamatics | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| Anaconda | 1 | 100% |
| Bloomberg | 1 | 100% |
| Carrefour Numérique (Cité des sciences) | 1 | 100% |
| CFM (Capital Fund Management) | 1 | 100% |
| Coiled | 1 | 100% |
| Cubist Systematic Strategies | 1 | 100% |
| Databricks | 1 | 100% |
| Hugging Face | 1 | 100% |
| Inria | 1 | 100% |
| Instaclustr | 1 | 100% |
| MakinaRocks | 1 | 100% |
| NetApp | 1 | 100% |
Neighborhood: companies with nearby conference footprints
QuantStack (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| JupyterCon 2023 | May 10–12, 2023 | Paris, France | Platinum | Platinum |
Speakers 46
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| A. T. Darian | Compute! Paris 2026 | speaker | The Notebook Is the Backend: Serverless Grading for Jupyter(Lite) | — |
| Alexis Placet | Compute! Paris 2026 | speaker | Sparrow ecosystem: Light & Modern C++20 implementation of Apache Arrow | — |
| Jeremy Tuloup | Compute! Paris 2026 | speaker | Reshaping the Jupyter Computing Environment | — |
| Johan Mabille | Compute! Paris 2026 | speaker | Sparrow ecosystem: Light & Modern C++20 implementation of Apache Arrow | — |
| Martin Renou | Compute! Paris 2026 | speaker | Using geojupyter community tools for earth data analysis and visualization at scale in the context of Snow Detection | — |
| Ian Thomas | PyData London 2026 | talk | JupyterLite: run all your code in a web browser using WebAssembly | — |
| Sylvain Corlay | PyCon DE & PyData 2026 | panel | Open Source as a Business — Models, Paths, and Practice | — |
| Ian Thomas | JupyterCon 2025 | speaker | Subshells: Bringing Multithreading To Jupyter Kernels | Slides |
| Jeremy Tuloup | JupyterCon 2025 | speaker | Browser-based AI Workflows in Jupyter | — |
| Jeremy Tuloup | JupyterCon 2025 | lightning talk | Lightning Talk: What's New in Jupyter Frontends | — |
| Alexis Placet | PyData Paris 2025 | talk | Sparrow, Pirates of the Apache Arrow | Video |
| Antoine Prouvost | PyData Paris 2025 | talk | Expanding Programming Language Support in JupyterLite | Video |
| Anutosh Bhat | PyData Paris 2025 | talk | xeus-cpp, the new C++ kernel for Jupyter. | Video |
| Arjun Verma | PyData Paris 2025 | talk | Collaborative GIS editing in JupyterLab | Video |
| Isabel Paredes | PyData Paris 2025 | talk | Expanding Programming Language Support in JupyterLite | Video |
| Jeremy Tuloup | PyData Paris 2025 | talk | Browser-based AI workflows in Jupyter | Video |
| Johan Mabille | PyData Paris 2025 | talk | Sparrow, Pirates of the Apache Arrow | Video |
| Johan Mabille | PyData Paris 2025 | talk | xeus-cpp, the new C++ kernel for Jupyter. | Video |
| Martin Renou | PyData Paris 2025 | talk | Collaborative GIS editing in JupyterLab | Video |
| Sylvain Corlay | PyData Paris 2025 | talk | Open-source Business | Video |
| Thorsten Beier | PyData Paris 2025 | talk | Expanding Programming Language Support in JupyterLite | Video |
| David Brochart | PyData Paris 2024 | talk | Collaborative editing in Jupyter | — |
| Ian Thomas | PyData Paris 2024 | talk | JupyterLite, Emscripten-forge, Xeus, and Mamba -- The computational quartet for in browser interactive computing" | — |
| Julien Jerphanion | PyData Paris 2024 | talk | Unveiling Mamba 2.0: The Future of Fast Package Management | — |
| Thorsten Beier | PyData Paris 2024 | talk | JupyterLite, Emscripten-forge, Xeus, and Mamba -- The computational quartet for in browser interactive computing" | — |
| Trung Le | PyData Paris 2024 | talk | Building web-based engineering applications with JupyterLab components. | — |
| Afshin Darian | JupyterCon 2023 | speaker | State of the Union: Jupyter Community | — |
| Carlos Herrero | JupyterCon 2023 | speaker | Real Time Collaboration in Jupyter | — |
| Carlos Herrero | JupyterCon 2023 | speaker | Visual Programming in JupyterLab with Blockly | — |
| Denisa Checiu | JupyterCon 2023 | speaker | Visual Programming in JupyterLab with Blockly | — |
| Gabriela Vives | JupyterCon 2023 | sponsored talk | The UX of computational thinking | — |
| Jeremy Tuloup | JupyterCon 2023 | speaker | Navigating the Jupyter Landscape | — |
| Jeremy Tuloup | JupyterCon 2023 | speaker | Creating interactive Jupyter websites with JupyterLite | — |
| Jeremy Tuloup | JupyterCon 2023 | speaker | The past, present and future of the Jupyter Notebook | — |
| Johan Mabille | JupyterCon 2023 | speaker | Navigating the Jupyter Landscape | — |
| Johan Mabille | JupyterCon 2023 | speaker | Xeus kernels in the browser | — |
| Martin RENOU | JupyterCon 2023 | speaker | And Voilà! | — |
| Trung Le | JupyterCon 2023 | speaker | And Voilà! | — |
| Trung Le | JupyterCon 2023 | speaker | Real Time Collaboration in Jupyter | — |
| Sylvain Corlay | PyData London 2022 | keynote | Possible Futures for Jupyter | — |
| Jeremy Tuloup | PyCon DE & PyData Berlin 2022 | talk | JupyterLite: Jupyter ❤️ WebAssembly ❤️ Python | — |
| Wolf Vollprecht | PyCon DE & PyData Berlin 2022 | talk | conda-forge: supporting the growth of the volunteer-driven, community-based packaging project | — |
| Jeremy Tuloup | PyCon DE & PyData Berlin 2019 | talk | A Tour of JupyterLab Extensions | — |
| Martin Renou | SciPy 2019 | speaker | Dashboarding with Jupyter Notebooks, Voila and Widgets | — |
| Martin Renou | SciPy 2019 | tutorial | — | — |
| Sylvain Corlay | SciPy 2019 | tutorial | — | — |