Zyte
Circuit mix
Where Zyte 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%6 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| PyCon (national Python conferences) | ||||||||||
| EuroPython | ||||||||||
| PyData |
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
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
Sponsored 2 conferences in 2026, the first year on record.
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.
New 2
First sponsored in 2025 or later.
- EuroPythonfirst sponsored 2026, Silver
- PyCon (national Python conferences)first sponsored 2026, Platinum
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 4 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| EuroPython Society | 3 | 75% |
| JetBrains | 3 | 75% |
| Anaconda | 2 | 50% |
| Apify | 2 | 50% |
| Back Market | 2 | 50% |
| Bloomberg | 2 | 50% |
| 2 | 50% | |
| Hudson River Trading | 2 | 50% |
| Manychat | 2 | 50% |
| Microsoft | 2 | 50% |
| OpenEDG Python Institute | 2 | 50% |
| pretix | 2 | 50% |
| Sentry | 2 | 50% |
| SerpApi | 2 | 50% |
| Vercel | 2 | 50% |
Sponsorships 4
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon Ireland 2026 | Nov 21, 2026 | Dublin, Ireland | Platinum | Platinum |
| EuroPython 2026 | Jul 13–19, 2026 | Kraków, Poland | Silver | Silver |
| PyCon US 2026 | May 13–19, 2026 | Long Beach, United States | Partner | Other |
| PyCon Austria 2026 | Apr 19–20, 2026 | Eisenstadt, Austria | Bronze | Bronze |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| John Rooney | PyCon Ireland 2026 | talk | Getting Web Data in 2026: A Python Developer's Field Guide | — |
| Konstantin Lopukhin | PyData London 2023 | talk | Web Data Extraction with Deep Learning | — |
| Renne Rocha | PyCon US 2022 | speaker | Querido Diario: cómo liberar datos oficiales de ciudades brasileñas con Python | Video |