pyOpenSci
Circuit mix
Where pyOpenSci 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%3 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| SciPy Conference (Scientific Computing with Python) | ||||||||||
| EuroPython |
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.
Where they've grown or pulled back
pyOpenSci has never sponsored a tracked conference, so this follows where its speakers appear instead.
FlatHad speakers at 1 conference in 2026, flat from 1 in 2024.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
Regulars 1
Speakers in most years of the span.
- SciPy Conference (Scientific Computing with Python)speakers in 2 of 2 years, 2024–25
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 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Sponsorships 0
No sponsorships recorded for pyOpenSci.
Speakers 5
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Leah Wasser | EuroPython 2026 | keynote | How to Run 160 KM: Building Resilience When Things Feel Hard | Video |
| Leah Wasser | SciPy 2025 | tutorial | Create Your First Python Package: Make Your Python Code Easier to Share and Use | — |
| Leah Wasser | SciPy 2025 | bof | Open Code, Open Science: What’s Getting in Your Way? | — |
| Leah Wasser | SciPy 2024 | speaker | The power of community in solving scientific Python’s most challenging problems | — |
| Leah Wasser | SciPy 2024 | tutorial | Create Your First Pure Python Package: Make Your Python Code Easier to Share and Use | — |