Quansight
Circuit mix
Where Quansight 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 science91%50 events
- AI engineering & MLOps5%2 events
- Modern data stack & practitioner3%3 events
- Vendor flagships & roadshows1%1 event
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 | ||||||||||
| PyCon (national Python conferences) | ||||||||||
| SciPy Conference (Scientific Computing with Python) | ||||||||||
| EuroPython | ||||||||||
| PyTorch Conference | ||||||||||
| Budapest Data+AI Forum | ||||||||||
| JupyterCon | ||||||||||
| Data Con LA | ||||||||||
| OmniSci Converge |
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
- Gold
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
DownSponsored 2 conferences in 2026, down from 5 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.
Moved up 1
Best tier rose between the first and latest year with a ranked tier.
- SciPy Conference (Scientific Computing with Python)Silver 2021 → Gold 2026
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- PyCon (national Python conferences)Silver 2019 → Bronze 2026
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- PyTorch Conferencelast sponsored 2024; the conference ran again in 2025–26
Steady 1
Sponsored in most years of its span at the same tier.
- PyData6 of 7 years 2019–25, mostly Gold
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- JupyterCononce, 2023, Silver
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).
- Space Telescope Science Institute0.93
- Ploomber0.92
- Streamlit0.91
- OpenTeams0.90
- NumFOCUS0.89
- BCG0.85
- Python Software Foundation0.84
- DevITJobs0.84
16 Cluster: PyCon · EuroPython circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 31 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Anaconda | 16 | 52% |
| Microsoft | 16 | 52% |
| NVIDIA | 15 | 48% |
| Two Sigma | 15 | 48% |
| Bloomberg | 14 | 45% |
| 14 | 45% | |
| JetBrains | 14 | 45% |
| Amazon Web Services | 13 | 42% |
| Posit | 13 | 42% |
| Coiled | 12 | 39% |
| Python Software Foundation | 12 | 39% |
| Meta | 11 | 35% |
| PyLadies | 10 | 32% |
| Snowflake | 10 | 32% |
| Capital One | 9 | 29% |
Neighborhood: companies with nearby conference footprints
Quansight (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 31
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyConES 2026 | Nov 6–8, 2026 | Barcelona, Spain | — | Unlabeled |
| Python Brasil 2026 | Oct 14–19, 2026 | Florianópolis, Brazil | Bronze | Bronze |
| PyCon Greece 2026 | Oct 12–13, 2026 | Athens, Greece | Patron | Other |
| SciPy 2026 | Jul 13–19, 2026 | Minneapolis, United States | Gold | Gold |
| PyCon US 2026 | May 13–19, 2026 | Long Beach, United States | Participating | Other |
| PyCon Greece 2025 | Aug 29–30, 2025 | Athens, Greece | Silver | Silver |
| SciPy 2025 | Jul 7–13, 2025 | Tacoma, United States | Silver / Tutorial Infrastructure Sponsor | Silver |
| PyCon US 2025 | May 14–22, 2025 | Pittsburgh, United States | Associate | Other |
| PyCon DE & PyData 2025 | Apr 23–25, 2025 | Darmstadt, Germany | Silver | Silver |
| PyData Global 2024 | Dec 3–5, 2024 | — | Gold | Gold |
| PyData NYC 2024 | Nov 6–8, 2024 | New York, United States | Gold | Gold |
| PyTorch Conference 2024 | Sep 18–19, 2024 | San Francisco, United States | Bronze | Bronze |
| SciPy 2024 | Jul 8–14, 2024 | Tacoma, United States | Silver/Tutorial Sponsor | Silver |
| PyCon US 2024 | May 15–23, 2024 | Pittsburgh, United States | Participating | Other |
| PyData Global 2023 | Dec 6–8, 2023 | — | Gold | Gold |
| PyData NYC 2023 | Nov 1–3, 2023 | New York, United States | Gold | Gold |
| PyTorch Conference 2023 | Oct 16–17, 2023 | Burlingame, United States | Platinum | Platinum |
| SciPy 2023 | Jul 10–16, 2023 | Austin, United States | Gold | Gold |
| JupyterCon 2023 | May 10–12, 2023 | Paris, France | Silver | Silver |
| PyCon US 2023 | Apr 19–27, 2023 | Salt Lake City, United States | Participating | Other |
| PyCon DE & PyData Berlin 2023 | Apr 17–19, 2023 | Berlin, Germany | Silver | Silver |
| PyData NYC 2022 | Nov 9–11, 2022 | New York, United States | Platinum | Platinum |
| SciPy 2022 | Jul 11–17, 2022 | Austin, United States | Gold | Gold |
| PyCon US 2022 | Apr 27, 2022 – May 3, 2022 | Salt Lake City, United States | Participating | Other |
| PyCon DE & PyData Berlin 2022 | Apr 11–13, 2022 | Berlin, Germany | Silver | Silver |
| PyData Global 2021 | Oct 28–30, 2021 | — | Gold | Gold |
| SciPy 2021 | Jul 12–18, 2021 | United States | Silver | Silver |
| PyCon US 2020 (Online) | Apr 15–23, 2020 | — | Gold | Gold |
| PyData Austin 2019 | Dec 7–8, 2019 | Austin, United States | Silver Social | Silver |
| PyData New York City 2019 | Nov 4–6, 2019 | New York, United States | Bronze | Bronze |
| PyCon US 2019 | May 1–9, 2019 | Cleveland, United States | Silver | Silver |
Speakers 93
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Lysandros Nikolaou | EuroPython 2026 | talk | Python Dicts: Past, Present, and Free-Threaded Future | Video |
| Mateusz Sokół | EuroPython 2026 | talk | Building your DSL compiler in Python | Video |
| Nathan Goldbaum | EuroPython 2026 | talk | What every Python developer should know about the CPython ABI | Video |
| Marco Gorelli | PyData London 2026 | talk | The Polars vs SQL differences nobody is talking about | — |
| Lysandros Nikolaou | PyCon Sweden 2025 | keynote | The serendipity factor: How community turns accidents into opportunities | — |
| Alenka Frim | PyData Paris 2025 | keynote | You Don’t Have to Be an Expert: Stories from the Open Source Frontlines | Video |
| Marco Gorelli | PyData Berlin 2025 | keynote | Narwhals: enabling universal dataframe support | Video |
| Lysandros Nikolaou | EuroPython 2025 | talk | Uncovering the magic of implementing a new Python syntax feature | Video |
| Albert Steppi | SciPy 2025 | speaker | SciPy’s New Infrastructure for Probability Distributions and Random Variables | — |
| Marco Gorelli | Budapest Data+ML Forum 2025 | speaker | How Narwhals translates the Polars API to...everything! | — |
| Marco Gorelli | PyData London 2025 | talk | Polars, DuckDB, PySpark, PyArrow, pandas, cuDF: how Narwhals has brought them all together! | — |
| Lysandros Nikolaou | PyCon US 2025 | speaker | Unraveling Community Support For Free-Threaded Python | Video |
| Pavithra Eswaramoorthy | PyCon US 2025 | speaker | Inclusive Data for 1.3 Billion: Designing Accessible Visualizations | Video |
| Smera Goel | PyCon US 2025 | speaker | A11y Need Is Love (But Accessible Docs Help Too) | — |
| Pavithra Eswaramoorthy | PyCon DE & PyData 2025 | talk | Inclusive Data for 1.3 Billion: Designing Accessible Visualizations | — |
| Dharhas Pothina | PyData NYC 2024 | speaker | How many dataframe libraries do you need to change a lightbulb? | Video |
| Agriya Khetarpal | PyCon APAC 2024 | talk | Python in the browser: my journey towards enhancing the Scientific Python ecosystem's interoperability with Pyodide | — |
| Marco Gorelli | PyData Paris 2024 | talk | Polars Plugins: how you (yes, you!) can extend Polars | — |
| Agriya Khetarpal | PyCon India 2024 | talk | Python in the browser: my journey towards enhancing the Scientific Python ecosystem's interoperability with Pyodide | — |
| Gagandeep Singh | PyCon India 2024 | talk | Enhancements made in SciPy at Quansight Labs | — |
| Marco Gorelli | PyData Amsterdam 2024 | talk | Understanding Polars Expressions when you're used to pandas | — |
| Marco Gorelli | PyData Amsterdam 2024 | talk | Open Source Sprint: Narwhals | — |
| Marco Gorelli | PyData Amsterdam 2024 | tutorial | How you (yes, you!) can write a Polars Plugin | — |
| Dharhas Pothina | SciPy 2024 | tutorial | Data of an Unusual Size (2024 edition): A practical guide to analysis and interactive visualization of massive datasets | — |
| Dharhas Pothina | SciPy 2024 | tutorial | From RAGs to riches: Build an AI document inquiry web-app | — |
| Lysandros Nikolaou | EuroPython 2024 | talk | How we sped up NumPy’s string operations for NumPy 2.0 | Video |
| Nathan Goldbaum | SciPy 2024 | bof | Supporting free-threaded Python | — |
| Nathan Goldbaum | SciPy 2024 | speaker | My NumPy year: From no CPython C API experience to shipping a new DType in NumPy 2.0 | — |
| Nathan Goldbaum | SciPy 2024 | bof | Community Feedback on the NumPy 2.0 Release | — |
| Pavithra Eswaramoorthy | SciPy 2024 | tutorial | Interactive data visualizations with Bokeh (in 2024) | — |
| Pavithra Eswaramoorthy | SciPy 2024 | tutorial | Data of an Unusual Size (2024 edition): A practical guide to analysis and interactive visualization of massive datasets | — |
| Pavithra Eswaramoorthy | SciPy 2024 | tutorial | From RAGs to riches: Build an AI document inquiry web-app | — |
| Marco Gorelli | PyData London 2024 | tutorial | How you (yes, you!) can write a Polars Plugin | — |
| Tania Allard | PyData London 2024 | keynote | Keynote-Tania Allard-The art of building and sustaining successful OSS tools and infrastructure | — |
| Marco Gorelli | Budapest Data+ML Forum 2024 | speaker | Polars and Time Series: what it can do, and how to overcome any limitation | — |
| Marcelo Villa | PyCon Colombia 2024 | talk | Enabling collaborative data science with Nebari | — |
| Marco Gorelli | PyCon Italia 2024 | talk | How you can write a dataframe-agnostic library | Video |
| Ken Jin | PyCon US 2024 | speaker | How two undergrads from the other side of the planet are speeding up your future code | Video |
| Dr. Tania Allard | PyCon DE & PyData Berlin 2024 | talk | Building accessible documentation sites | — |
| Marco Gorelli | PyCon DE & PyData Berlin 2024 | talk | Polars and Time Series: what it can do, and how to overcome any limitation | Slides |
| Pavithra Eswaramoorthy | PyCon DE & PyData Berlin 2024 | tutorial | Build an AI Document Inquiry Chat with Offline LLMs | — |
| Philip Meier | PyCon DE & PyData Berlin 2024 | tutorial | Build an AI Document Inquiry Chat with Offline LLMs | — |
| Marco Gorelli | PyCon Lithuania 2024 | tutorial | Introduction to Polars DataFrames - how to supercharge your data workflows | — |
| Marco Gorelli | PyCon Lithuania 2024 | talk | DataFrame interoperatiblity - what's been achieved, and what comes next? | — |
| Marco Gorelli | PyData Eindhoven 2023 | talk | Polars and time zones: everything you need to know | Video |
| Dharhas Pothina | PyData NYC 2023 | speaker | From RAGs to riches: Build an AI document interrogation app in 30 mins | Video |
| Dharhas Pothina | PyData NYC 2023 | speaker | Taming the toxic python environment on your laptop | Video |
| Dharhas Pothina | PyData NYC 2023 | tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets | Video |
| Kim Pevey | PyData NYC 2023 | tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets | Video |
| Pavithra Eswaramoorthy | PyData NYC 2023 | tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets | Video |
| Pavithra Eswaramoorthy | PyData NYC 2023 | speaker | From RAGs to riches: Build an AI document interrogation app in 30 mins | Video |
| Peter Bell | PyTorch Conference 2023 | poster | 2.X Poster Presentations | — |
| Aaron Meurer | SciPy 2023 | speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Aaron Meurer | SciPy 2023 | tutorial | SymPy Introductory Tutorial | — |
| Albert Steppi | SciPy 2023 | tutorial | Resampling and Monte Carlo Methods in SciPy.stats | — |
| Isabela Presedo-Floyd | SciPy 2023 | speaker | Accessibility best practices for authoring Jupyter notebooks | — |
| Matthew Barber | SciPy 2023 | speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Pavithra Eswaramoorthy | SciPy 2023 | speaker | Community-first open source: An action plan! | — |
| Pavithra Eswaramoorthy | SciPy 2023 | tutorial | Data of an Unusual Size: A practical guide to analysis and interactive visualization of massive datasets | — |
| Pavithra Eswaramoorthy | SciPy 2023 | tutorial | Interactive data visualization with Bokeh | — |
| Thomas J. Fan | SciPy 2023 | speaker | Can There Be Too Much Parallelism? | — |
| Thomas J. Fan | SciPy 2023 | speaker | Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem | — |
| Cristian Garcia | PyCon Colombia 2023 | talk | Deep Learning at scale with JAX: a tour of parallelism in JAX | Video |
| Dhavide Aruliah | JupyterCon 2023 | speaker | 10 Years of Teaching with Jupyter: Reflections from Industry & Academia | — |
| Gabriel Fouasnon | JupyterCon 2023 | speaker | WAAAT! Accessibility Testing JupyterLab | — |
| Marco Gorelli | JupyterCon 2023 | speaker | nbQA- run any standard Python code quality tool on a Jupyter Notebook | — |
| Pavithra Eswaramoorthy | JupyterCon 2023 | speaker | Community-first open source: An action plan! | — |
| Stephannie Jimenez Gacha | JupyterCon 2023 | speaker | Inclusive and accessible scientific computing in the Jupyter Ecosystem | — |
| Tania Allard | JupyterCon 2023 | speaker | Community-first open source: An action plan! | — |
| Anirrudh Krishnan | PyData NYC 2022 | speaker | Scaling Python - Bank Edition | Video |
| Eskild Eriksen | PyData NYC 2022 | tutorial | Nebari: Easily deploy and maintain an open source data science platform on the cloud of your choice | Video |
| Melissa Mendonça | PyData NYC 2022 | keynote | Keynote - Can we optimize communities? | Video |
| Thomas J. Fan | PyData NYC 2022 | speaker | Parallelism in Numerical Python Libraries | Video |
| Pamphile Roy | SciPy 2022 | speaker | Scientific Python Ecosystem Coordination | — |
| Pamphile Roy | SciPy 2022 | speaker | Improving random sampling in Python: scipy.stats.sampling and scipy.stats.qmc | — |
| Tania Allard | PyData London 2022 | keynote | Keynote: Key Challenges in the PyData Ecosystem and How We Can All Make a Difference | — |
| Jaime Rodríguez-Guerra | PyCon DE & PyData Berlin 2022 | talk | conda-forge: supporting the growth of the volunteer-driven, community-based packaging project | — |
| Melissa Weber Mendonça | PyCon DE & PyData Berlin 2022 | keynote | Beyond the basics: Contributor experience, diversity and culture in open source projects | — |
| Stephannie Jimenez Gacha | PyCon DE & PyData Berlin 2022 | talk | Data Apis: Standardization of N-dimensional arrays and dataframes | — |
| Sayantika Banik | Data Con LA 2021 | speaker | Lie factor and it's impact on visualisation | — |
| Dharhas Pothina | PyData Austin 2019 | speaker | Building a User Maintainable Visualization Dashboard for the Large Synoptic Survey Telescope (LSST) | Video |
| Fatma Tarlaci | PyData Austin 2019 | speaker | An Introduction to Sentiment Analysis of Textual Data | Video |
| Max Klein | PyData Austin 2019 | speaker | Working interactively with large and remote datasets in JupyterLab | Video |
| Travis E Oliphant | PyData Austin 2019 | speaker | uarray: Separating interface from implementation | Video |
| Travis E Oliphant | PyData Austin 2019 | keynote | Extending Python Into the Future | Video |
| Anthony Scopatz | PyData New York City 2019 | speaker | What's now in NumFOCUS projects? (Part 2) | — |
| Anthony Scopatz | PyData New York City 2019 | speaker | Stump the Chump | — |
| Anthony Scopatz | PyData New York City 2019 | speaker | Conda-press, or Reinventing the Wheel | Video |
| Ralf Gommers | PyData New York City 2019 | speaker | What's now in NumFOCUS projects? (Part 1) | — |
| Travis Oliphant | OmniSci Converge 2019 | keynote | Keynote: OmniSci's Roadmap & Thriving in a Data-Driven World | — |
| Anthony Scopatz | SciPy 2019 | tutorial | — | — |
| Anthony Scopatz | SciPy 2019 | speaker | Inequality of Underrepresented Groups in Core Project Leadership | — |
| Ralf Gommers | SciPy 2019 | speaker | Inside NumPy: Preparing for the Next Decade | — |