PyCaret
PyCaret aims to reduce the hypothesis-to-insight cycle time in machine learning experiments by providing a low-code, automated framework.
At a Glance
- Data Scientists
- Business Analysts
- Researchers
- Citizen Data Scientists
AI Tools by PyCaret
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PyCaret
Low Code Python ML Library
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Products & Services
An open-source, low-code machine learning library in Python that automates machine learning workflows.
Market Position
PyCaret positions itself as a low-code productivity tool that reduces coding overhead compared to standard libraries like scikit-learn.
Leadership
Founders
Moez Ali
Creator of PyCaret. Currently AI Product Director at Zebra Technologies and Professor at OPIT. Previously Data Science Manager at Moneris and Manager at PwC Canada.
Executive Team
Moez Ali
Founder & Principal Author
AI Product Director at Zebra Technologies.
Nikhil Gupta
Core Team / Lead - Time Series
Principal Data Scientist and ML Engineer.
Founding Story
PyCaret was created by Moez Ali to make machine learning accessible and efficient for 'Citizen Data Scientists' and researchers by wrapping complex ML frameworks into a simple, consistent API.
Business Model
Revenue Model
Open Source (Free)
Pricing Tiers
Full access to open-source library and community support
Target Markets
- Data Scientists
- Business Analysts
- Researchers
- Citizen Data Scientists
- Rapid prototyping
- Citizen Data Science
- Automated machine learning pipelines
- Business Intelligence augmentation
- Educational use
- Used widely in academia and professional data science teams