Eneco
Circuit mix
Where Eneco 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%4 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2025.
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.
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 |
|---|---|---|
| Adyen | 1 | 100% |
| Artefact | 1 | 100% |
| BigData Republic | 1 | 100% |
| Booking.com | 1 | 100% |
| Bridg | 1 | 100% |
| ClickHouse | 1 | 100% |
| DevITJobs | 1 | 100% |
| Dexter Energy | 1 | 100% |
| Elastic | 1 | 100% |
| 1 | 100% | |
| Hopsworks | 1 | 100% |
| JetBrains | 1 | 100% |
| KickstartAI | 1 | 100% |
| Marvelous MLOps | 1 | 100% |
| Neo4j | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyData Amsterdam 2025 | Sep 24–26, 2025 | Amsterdam, Netherlands | — | Unlabeled |
Speakers 6
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Corné Vriends | PyData Amsterdam 2026 | talk | Systems for Scale: Architecting a Nationwide Energy Forecasting Platform | — |
| Daria Mustafina | PyData Amsterdam 2026 | talk | Systems for Scale: Architecting a Nationwide Energy Forecasting Platform | — |
| Rik van der Vlist | PyData Amsterdam 2023 | talk | Balancing the electricity grid with multi-level forecasting models | — |
| Corné Vriends | PyData Eindhoven 2021 | talk | Estimating solar production with distributed deep learning from smart meter data | — |
| Corné Vriends | PyData Eindhoven 2021 | talk | Dealing with the versioning of production-ready models, | — |
| Fenno Vermeij | PyData Eindhoven 2021 | talk | Estimating solar production with distributed deep learning from smart meter data | — |