salesforce/TransmogrifAI

Health v2 · maintenance only

Adoption not part of the score

2277 stars · 399 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TransmogrifAI is an AutoML library written in Scala that runs on Apache Spark for building modular, reusable, strongly typed machine learning workflows on structured data. It automates feature engineering, feature validation, and model selection, achieving near hand-tuned accuracy with far less effort.

Use cases

• automate feature engineering and model selection on structured data
• build production ML pipelines on Apache Spark
• build machine learning models without deep ML expertise
• create modular reusable strongly typed ML workflows
• automated machine learning for tabular data
• reduce time to train and tune Spark ML models

When to choose

• you already run Apache Spark and want AutoML on structured/tabular data
• you want compile-time type-safe, modular ML workflow definitions in Scala
• you need fast production-ready ML pipelines with minimal hand-tuning

When to avoid

• you need deep learning or unstructured data like images and text
• you work in Python-only ecosystems like scikit-learn or AutoML tools
• you need a project with frequent updates and modern Spark version support

Facets

library · maturity maintenance

machine-learning etl data-science machine-learning big-data data-science jvm python automl spark feature-engineering structured-data type-safe salesforce-einstein

Member repositories

For agents

markdown · JSON · MCP: product_card(name="salesforce/TransmogrifAI")