INFARM
Circuit mix
Where INFARM 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%5 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| EuroPython | ||||||||||
| PyData | ||||||||||
| PyCon (national Python conferences) |
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.
- Gold
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
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.
- PyDataonce, 2019, 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 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Ada | 1 | 100% |
| Anaconda | 1 | 100% |
| AXA | 1 | 100% |
| Blue Yonder | 1 | 100% |
| Comtravo | 1 | 100% |
| Delivery Hero | 1 | 100% |
| Deloitte | 1 | 100% |
| eBay | 1 | 100% |
| EuroPython Society | 1 | 100% |
| Flying Circus | 1 | 100% |
| FREE NOW | 1 | 100% |
| IBM | 1 | 100% |
| idealo internet GmbH | 1 | 100% |
| JetBrains | 1 | 100% |
| KÖNIGSWEG | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon DE & PyData Berlin 2019 | Oct 9–11, 2019 | Berlin, Germany | Gold | Gold |
Speakers 6
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Maria Jose Molina Contreras | EuroPython 2023 | talk | Continue Thinking Small: Next level machine learning with TinyML | Video |
| Maria Jose Molina Contreras | PyCon US 2022 | speaker | Better Air, Better Health: Creating an indoor air quality monitoring and predictive system. | Video |
| Maria Jose Molina-Contreras, PhD | EuroPython 2021 Online | talk | DIY Home Automation with Microcontrollers and CircuitPython | Video |
| Christian Barra | PyCon DE & PyData Berlin 2019 | tutorial | Kubernetes 101 for Python Developers | — |
| Christian Barra | PyCon DE & PyData Berlin 2019 | panel | Job Panel | — |
| Christian Barra | EuroPython 2019 | talk | How software can feed the world 🌱 | Video |