Data Conference Databasea Query.Farm index
Companies

PyMC Labs

Product category: Consulting & services 74% confident
Org type: Consultancy 63% confident
Conferences sponsored0
Events sponsored0
Speaker slots2010 distinct people
Conferences present at4sponsor or speaker
Years active2022–2026
Talks, past 12 months5#434 on the communication index · many voices

Circuit mix

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

The year around now

Conferences where PyMC Labs sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.

JanFebMarAprMayJunJulAugSepOctNovDecPyDataPyData
Held in the past 12 months Next 12 months Today, Nov 9, 2026

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

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.

Where they've grown or pulled back

PyMC Labs has never sponsored a tracked conference, so this follows where its speakers appear instead.

DownHad speakers at 1 conference in 2026, down from 2 in 2023.

Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.

New conferences spoken at 1

First speaker in 2025 or later.

No longer seen 2

No speakers since 2024 or earlier, though the conference published speaker lists after that.

Regulars 1

Speakers in most years of the span.

  • PyDataspeakers in 5 of 5 years, 2022–26

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. Saturn Cloud0.76
  2. Pearson0.75
  3. fast.ai0.74
  4. Gurobi0.74
  5. Qwak0.69
  6. Delta Lake0.68
  7. KU Leuven0.68
  8. Plotly0.67

15 Cluster: ODSC · MLOps World circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).

No co-sponsors: this company has no recorded sponsorships, or sponsored alone.

Neighborhood: companies with nearby conference footprints

PyMC Labs (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.

PyMC LabsGurobiPlotlyDelta LakeHidden DoordotDataLaminiCleanlabZerveKolenaExpansoWhyLabsQubolelakeFSPachydermIguazioOcado TechnologyHudson LabsXetHubIterativeQwakCrewAIFurtherDataTalks.ClubTectonValohaiHumanSignalAporiaZeplOuterbounds
PyMC LabsGurobiDelta LakeHidden DoordotDataLaminiCleanlabZerveKolenaExpansoWhyLabsQubolelakeFSPachydermIguazioOcado TechnologyHudson LabsXetHubIterativeQwakCrewAIFurtherDataTalks.ClubTectonValohaiAporiaZepl

Sponsorships 0

No sponsorships recorded for PyMC Labs.

Speakers 20

SpeakerEventRoleTalkLinks
Benjamin VincentPyData London 2026talkDid Your Rollout Actually Work? Measuring Phased Launches with Staggered DiD in Python—
Chris FonnesbeckPyData London 2026tutorialFlexible Statistical Modeling with Bayesian Additive Regression Trees—
Chris FonnesbeckPyData London 2026talkPyMC Code Sprint—
Oriol Abril PlaPyData London 2026talkPyMC Code Sprint—
Oriol Abril PlaPyData London 2026tutorialModel criticism through posterior predictive checks—
Allen DowneyPyData Boston 2025speakerThe SAT math gap: gender difference or selection bias?Video
Luca FiaschiPyData Boston 2025speakerMMM Open- Source Showdown: A Practitioner's Benchmark of PyMC-Marketing vs. Google MeridianVideo
Bill EngelsPyData Seattle 2025speakerActually using GPs in practice with PyMCVideo
Rob ZinkovPyData Amsterdam 2025talkOpen source sprints - PyIceberg & PyMC—
Luca FiaschiData + AI Summit 2025speakerData Intelligence for Marketing Breakout: Agentic Systems for Bayesian MMM and Consumer Testing—
Chris FonnesbeckPyData London 2025tutorialPyMC Code Sprint—
Chris FonnesbeckPyData London 2025tutorialIntroduction to Bayesian Time Series Analysis with PyMC—
Chris FonnesbeckPyData Virginia 2025tutorialA Beginner's Guide to Variational InferenceVideo
Alexandre AndorraPyData NYC 2024tutorialMastering Gaussian Processes with PyMCVideo
Christian LuhmannPyData NYC 2024speakerPyMC-Marketing: Customer and Marketing Analytics the Easy WayVideo
Allen Downeyposit::conf(2024)keynoteA future of data scienceVideo
Thomas WieckiPyData London 2024tutorialProbabilistic Programming and Bayesian Computing with PyMC—
Thomas WieckiODSC Europe 2023featured——
Dr. Thomas WieckiPyCon DE & PyData Berlin 2023talkBayesian Marketing Science: Solving Marketing's 3 Biggest Problems—
Thomas WieckiPyData London 2022talkSolving Real-World Business Problems with Bayesian Modeling—