Research Affiliates
Also listed as 2 other names
Research Affiliates LLC · Research Affiliates, LLC
Circuit mix
Where Research Affiliates 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 science93%8 events
- Alt data & financial information7%1 event
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 |
|---|---|---|---|---|---|---|---|---|
| PyCon (national Python conferences) | ||||||||
| Neudata Data Summits | ||||||||
| PyData | ||||||||
| SciPy Conference (Scientific Computing with Python) |
Activity by year
Three measures on one year axis; each panel has its own scale.
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.
- Silver
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference 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.
- PyCon (national Python conferences)every year 2020–25, mostly unranked tier
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Python Software Foundation0.88
- Ploomber0.87
- Linode0.86
- Generali0.86
- Octopus Energy0.84
- DeepLearning.AI0.83
- OpenTeams0.83
- Observable0.83
6 Cluster: PyCon · EuroPython circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 6 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Bloomberg | 6 | 100% |
| Capital One | 6 | 100% |
| 6 | 100% | |
| Hudson River Trading | 6 | 100% |
| Microsoft | 6 | 100% |
| Netflix | 6 | 100% |
| Python Software Foundation | 6 | 100% |
| Red Hat | 6 | 100% |
| Amazon Web Services | 5 | 83% |
| Anaconda | 5 | 83% |
| Anvil | 5 | 83% |
| Elastic | 5 | 83% |
| JetBrains | 5 | 83% |
| Meta | 5 | 83% |
| No Starch Press | 5 | 83% |
Neighborhood: companies with nearby conference footprints
Research Affiliates (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 6
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon US 2025 | May 14–22, 2025 | Pittsburgh, United States | Associate | Other |
| PyCon US 2024 | May 15–23, 2024 | Pittsburgh, United States | Community | Community |
| PyCon US 2023 | Apr 19–27, 2023 | Salt Lake City, United States | Associate | Other |
| PyCon US 2022 | Apr 27, 2022 – May 3, 2022 | Salt Lake City, United States | Associate | Other |
| PyCon US 2021 (Online) | May 12–18, 2021 | — | Associate | Other |
| PyCon US 2020 (Online) | Apr 15–23, 2020 | — | Silver | Silver |
Speakers 6
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Christopher Ariza | PyCon US 2025 | speaker | Elastic Generics: Flexible Static Typing with TypeVarTuple and Unpack | Video |
| Christopher Ariza | SciPy 2023 | speaker | Out-Performing NumPy is Hard: When and How to Try with Your Own C-Extensions | — |
| Christopher Ariza | PyCon US 2023 | speaker | Building NumPy Arrays from CSV Files, Faster than Pandas | Video |
| Christopher Ariza | PyCon US 2022 | speaker | Employing NumPy's NPY Format for Faster-Than-Parquet DataFrame Serialization | Video |
| Vitali Kalesnik | Data Insights & Scouting Summit 2021 (Autumn) | speaker | — | — |
| Christopher Ariza | PyData Los Angeles 2019 | speaker | Fitting Many Dimensions into One: The Promise of Hierarchical Indices for Data Beyond Two Dimensions | Video |