PyMC3 enjoys wide adoption in industry. Quantopian uses PyMC3 to track uncertainty in the performance of a trading algorithm. We Are Wizards uses PyMC3 to evaluate A/B test performance. VoiceBox Technologies uses PyMC3 to compare algorithm performances using Kruschke’s BEST algorithm. PyMC3 is used in research code at Channel 4 for developing internal forecasting tools. Managed by Q uses PyMC3 for all of their statistical modeling, including A/B test analysis, sales forecasting, and churn prediction. PyMC3 is used as a primary tool for statistical modeling at Salesforce, where they use it to build hierarchical models to evaluate varying effects in web experiments and then to build meta-analyses that quantify the expected returns of a subsequent experiment. It has also been used at Monetate, GrubHub, and DataXu.