Data Conference Databasea Query.Farm index
Conferences / Data science & ML

JupyterCon

Organizer
Project Jupyter (with NumFOCUS in 2023; produced by the Linux Foundation in 2025)
Category
Data science & ML
Website
events.linuxfoundation.org
Social
X / Twitter · LinkedIn · YouTube
Typical place
Paris, France
Topics
Data scienceMachine learningData engineering

First held 2017 and 2018 in New York City, co-produced with O'Reilly Media (before the 2019 window; not recorded as editions). 2020 edition was online (cfp.jupytercon.com/2020). Returned in person in Paris (May 2023, Project Jupyter in partnership with NumFOCUS) and San Diego (Nov 2025, Linux Foundation). No JupyterCon 2026 found as of 2026-11-08; instead the Linux Foundation ran a one-day 'Jupyter Day' co-located with PyTorch Conference North America in San Jose on 19 Oct 2026 (recorded as a lead). Twitter and YouTube are the conference's own accounts (twitter.com/jupytercon linked from the 2023 site); LinkedIn/Facebook are Project Jupyter's, as linked from the 2025 LF event site (which also links x.com/projectjupyter).

Events32020–2025
Next event—None announced
Sponsoring companies3639 sponsorships
Speaker appearances487

Activity by year

Sponsors

Sponsor companies per year

Distinct companies sponsoring any event that year.

02040202020212022202320242025
02040202020212022202320242025
  • Partial or unverified list
  • No sponsor list

3 of 6 years have a partial, unverified or missing sponsor list, so their bars undercount.

Speakers

Speakers per year

Distinct people on stage at any event that year; same year axis as sponsors.

0100200202020212022202320242025
0100200202020212022202320242025

Events

DatesEventPlaceFormat / statusAttendanceSponsorsSpeakers
Nov 3–6, 2025JupyterCon 2025San Diego, United States4257138
May 10–12, 2023JupyterCon 2023Paris, France—32188
Oct 12–16, 2020JupyterCon 2020—Online——161

Attendance over time

02134252025

Reported attendance for 1 of 3 events; figures are as published by the organizer.

Most frequent speaker companies

Speaker appearances across all events, by the speaker's company.

Similar conferences

Conferences with the most similar speaker mix: their speakers come from the same companies. Bars are cosine similarity on a 0–1 scale; between conferences even the closest pairs share only part of their crowd.

  1. SciPy Conference0.22
  2. Compute!0.18
  3. CIDR0.12
  4. PyData0.12
  5. KDD0.11

3 Cluster: Google · Amazon Web Services · Microsoft crowd →

Sponsors over the years

Sources