Noteable
Also listed as 1 other name
Noteable Inc
Circuit mix
Where Noteable 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 |
|---|---|---|---|---|---|---|---|---|
| PyData | ||||||||
| PyCon (national Python conferences) | ||||||||
| JupyterCon |
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.
- Title
- Gold
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 3 conferences 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.
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- PyDataTitle 2022 → Gold 2023
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- JupyterCononce, 2023, Gold
- PyCon (national Python conferences)2 of 3 years, 2021–23
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 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Anaconda | 4 | 80% |
| Microsoft | 4 | 80% |
| Taipy | 4 | 80% |
| Two Sigma | 4 | 80% |
| Amazon Web Services | 3 | 60% |
| Bloomberg | 3 | 60% |
| Capital One | 3 | 60% |
| Netflix | 3 | 60% |
| Posit | 3 | 60% |
| Quansight | 3 | 60% |
| Anvil | 2 | 40% |
| Coiled | 2 | 40% |
| Cubist Systematic Strategies | 2 | 40% |
| Delta Lake | 2 | 40% |
| DevITjobs | 2 | 40% |
Sponsorships 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| JupyterCon 2023 | May 10–12, 2023 | Paris, France | Gold | Gold |
| PyData Seattle 2023 | Apr 26–28, 2023 | Redmond, United States | Gold | Gold |
| PyCon US 2023 | Apr 19–27, 2023 | Salt Lake City, United States | Partner | Other |
| PyData NYC 2022 | Nov 9–11, 2022 | New York, United States | Diamond | Title |
| PyCon US 2021 (Online) | May 12–18, 2021 | — | Startup Row | Startup |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Pierre Brunelle | PyData Seattle 2023 | speaker | Combining IPython with Open Source Papermill, Origami, and Genai to enhance your Jupyter Notebook experience | Video |
| Carol Willing | PyCon US 2023 | keynote | — | Video |
| Pierre Brunelle | PyData NYC 2022 | tutorial | Troubleshooting your Data Workflows with Noteable + Dagster: A live debugging of failed jobs. | Video |