Atorus Research
Circuit mix
Where Atorus Research 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| posit::conf (formerly rstudio::conf) | ||||||||||
| EARL (Enterprise Applications of the R Language) |
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.
- Bronze
- Other / unlabeled
Where they've grown or pulled back
FlatSponsored 1 conference in 2026, flat from 1 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.
Steady 1
Sponsored in most years of its span at the same tier.
- posit::conf (formerly rstudio::conf)every year 2023–26, mostly unranked tier
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 |
|---|---|---|
| Jumping Rivers | 4 | 100% |
| ProCogia | 4 | 100% |
| Appsilon | 3 | 75% |
| A2-AI | 2 | 50% |
| Amazon Web Services | 2 | 50% |
| cynkra GmbH | 2 | 50% |
| Lander Analytics | 2 | 50% |
| AXI Full Service RStudio Partner | 1 | 25% |
| Plinth | 1 | 25% |
| R Consortium | 1 | 25% |
| Snowflake | 1 | 25% |
| West Virginia University John Chambers College of Business and Economics | 1 | 25% |
Sponsorships 4
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| posit::conf(2026) | Sep 14–16, 2026 | Houston, United States | Sponsor (logo wall, no tier shown) | Other |
| posit::conf(2025) | Sep 16–18, 2025 | Atlanta, United States | Bronze | Bronze |
| posit::conf(2024) | Aug 12–14, 2024 | Seattle, United States | Sponsor (logo wall, no tier shown) | Other |
| posit::conf(2023) | Sep 17–20, 2023 | Chicago, United States | Sponsor (logo wall, no tier shown) | Other |
Speakers 10
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Jon Harmon | posit::conf(2026) | speaker | The Design of Everyday R Functions | — |
| Mark Sellors | EARL 2025 | talk | Creating Validated Data Pipelines With Nextflow | — |
| Casey Aguilar-Gervase | posit::conf(2025) | speaker | Design of Everyday Shiny Apps | Video |
| Maya Gans | posit::conf(2025) | speaker | Design of Everyday Shiny Apps | Video |
| Andrew Bates | posit::conf(2024) | workshop | Flavors of the Pharmaverse | — |
| Andrew Bates | posit::conf(2024) | speaker | Making an App a System | Video |
| Casey Aguilar-Gervase | posit::conf(2024) | workshop | Flavors of the Pharmaverse | — |
| Mike Stackhouse | posit::conf(2024) | other | Lunch and Learn hosted by Atorus | Challenges of Shiny in Clinical Analytics | — |
| Maya Gans | rstudio::conf(2022) | speaker | Creating a Design System for Shiny and RMarkdown | Video |
| Mike Stackhouse | rstudio::conf(2022) | speaker | Dive Deep into Metadata with Tplyr | Video |