Blue Yonder
Circuit mix
Where Blue Yonder 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 science85%6 events
- Enterprise, analyst & AI expos15%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 | ||||||||||
| The AI Summit |
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
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.
Moved up 1
Best tier rose between the first and latest year with a ranked tier.
- PyDataGold 2019 → Platinum 2025
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- The AI Summitonce, 2021, Gold
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 6 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| EuroPython Society | 5 | 83% |
| PyLadies | 5 | 83% |
| Python Software Foundation | 5 | 83% |
| Rosen | 5 | 83% |
| energy & meteo systems GmbH | 4 | 67% |
| JetBrains | 4 | 67% |
| PyData Südwest | 4 | 67% |
| QuantCo | 4 | 67% |
| ZEISS | 4 | 67% |
| Coiled | 3 | 50% |
| DB Systel GmbH | 3 | 50% |
| Delivery Hero | 3 | 50% |
| Django Software Foundation | 3 | 50% |
| inovex GmbH | 3 | 50% |
| KÖNIGSWEG | 3 | 50% |
Sponsorships 6
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon DE & PyData 2025 | Apr 23–25, 2025 | Darmstadt, Germany | Platinum | Platinum |
| PyCon DE & PyData Berlin 2024 | Apr 22–24, 2024 | Berlin, Germany | Gold | Gold |
| PyCon DE & PyData Berlin 2023 | Apr 17–19, 2023 | Berlin, Germany | Platinum | Platinum |
| PyCon DE & PyData Berlin 2022 | Apr 11–13, 2022 | Berlin, Germany | Platinum | Platinum |
| The AI Summit New York 2021 | Dec 8–9, 2021 | New York, United States | Gold Sponsors | Gold |
| PyCon DE & PyData Berlin 2019 | Oct 9–11, 2019 | Berlin, Germany | Gold | Gold |
Speakers 13
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Alexander Zaytsev | PyCon DE & PyData 2026 | talk | Demystifying Containers with Python: Building a Minimal Engine from Scratch | — |
| Martin Seeler | PyCon DE & PyData 2026 | talk | AI Evals Done Right: From Vibes to Confident Decisions | — |
| Moritz Bauer | PyCon DE & PyData 2026 | talk | Making bad CLIs fun with Small Language Models | — |
| Katie Richardson | PyCon DE & PyData 2025 | talk | Where have all the post offices gone? Discovering neighborhood facilities with Python and OSM | — |
| Malte Klemm | PyCon DE & PyData 2025 | talk | Reinventing Streamlit | — |
| Martin Seeler | PyCon DE & PyData 2025 | sponsor | Composable AI: Building Next-Gen AI Agents with MCP | — |
| Vince Nelidov | PyCon DE & PyData 2025 | talk | Bias Meets Bayes: A Bayesian Perspective on Improving Model Fairness | — |
| Stefan Ulbrich | PyCon DE & PyData Berlin 2024 | tutorial | Performant, scientific computation in Python and Rust | — |
| Felix Wick | PyCon DE & PyData Berlin 2023 | sponsor | Exploring the Power of Cyclic Boosting: A Pure-Python, Explainable, and Efficient ML Method | — |
| Illia Babounikau | PyCon DE & PyData Berlin 2022 | sponsor | My forecast is better than yours! What does that even mean? | — |
| Florian Jetter | PyCon DE & PyData Berlin 2019 | talk | Kartothek – Table management for cloud object stores powered by Apache Arrow and Dask | — |
| Sebastian Neubauer | PyCon DE & PyData Berlin 2019 | talk | 6 Years of Docker: The Good, the Bad and Python Packaging | — |
| Stefan Maier | PyCon DE & PyData Berlin 2019 | talk | Embrace uncertainty! Why to go beyond point estimators for valuable ML applications | — |