Data Conference Databasea Query.Farm index
Companies

prefix.dev

Product category (jev): Cloud infrastructure 55% confident
Org type (jev): Software vendor 91% confident
Also listed as: Prefix.dev · prefix.dev GmbH
Conferences sponsored1
Events sponsored3
Speaker slots62 distinct people
Conferences present at4sponsor or speaker
Years active2024–2026

Circuit mix

Where prefix.dev shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

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
Conference2019202020212022202320242025202620272028
SciPy Conference (Scientific Computing with Python)
Compute!
EuroPython
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.

  • Gold

Where they've grown or pulled back

FlatSponsored 1 conference in 2026, flat from 1 in 2024.

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.

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).

  1. QuantStack0.89
  2. Rice University0.83
  3. Space Telescope Science Institute0.74
  4. NumFOCUS0.73
  5. BCG0.72
  6. The George Washington University0.72
  7. Arizona State University0.71
  8. Mozilla0.71

8 Cluster: PyData · posit::conf circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 3 this company sponsored).

Neighborhood: companies with nearby conference footprints

prefix.dev (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.

prefix.devQuantStackRice UniversityUniversity of VirginiaSaturn CloudCaltechfast.aiArizona State UniversityUniversity of Illinois Urbana-ChampaignThe George Washington UniversityUCLACoiledCovalentModernaPositUniversity of ChicagoVoltron DataEPFLMozillaNumFOCUSAnacondaQuansightTechnical University of MunichColumbia UniversityDuke UniversityUniversity of MarylandAustralian National UniversityNorthwestern UniversityStreamlit
prefix.devQuantStackRice UniversityUniversity of VirginiaSaturn CloudCaltechfast.aiArizona State UniversityUniversity of Illinois Urbana-ChampaignUCLACoiledCovalentModernaPositUniversity of ChicagoVoltron DataEPFLMozillaNumFOCUSAnacondaQuansightTechnical University of MunichDuke UniversityUniversity of Maryland

Sponsorships 3

EventDatePlaceTier as listedNormalized tier
SciPy 2026Jul 13–19, 2026Minneapolis, United StatesGold Gold
SciPy 2025Jul 7–13, 2025Tacoma, United StatesGold Gold
SciPy 2024Jul 8–14, 2024Tacoma, United StatesGold Gold

Speakers 6

SpeakerEventRoleTalkLinks
Wolf VollprechtCompute! Paris 2026keynoteSaving Conda—
Ruben ArtsSciPy 2026bofLockfile-based development and applications—
Ruben ArtsSciPy 2026tutorialReproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138)—
Ruben ArtsSciPy 2026speakerScipy, Numpy, Xarray and Python all have a pixi.toml. Why?—
Ruben ArtsEuroPython 2025talkUnlocking Hidden Power of Conda with PixiVideo
Wolf VollprechtPyCon DE & PyData Berlin 2024talkBridging the worlds: pixi reimplements pip and conda in Rust—