data-science-studio ☆
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Description:
Quick experimentation and operationalization for machine learning at scale
Type: Cask  |  Latest Version: 14.0.3@0  |  Tracked Since: Dec 17, 2025
Links: Homepage  |  @Dataiku  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning data-analysis mlops ai-platform collaboration
Install: brew install --cask data-science-studio
About:
Dataiku Data Science Studio (DSS) is an AI and machine learning platform that enables teams to prepare data, build models, and deploy applications without extensive coding. It provides a collaborative, visual interface that accelerates the operationalization of data science projects at enterprise scale.
Key Features:
  • Visual, no-code/low-code interface for data preparation and machine learning
  • Collaborative platform for data scientists, analysts, and engineers
  • Automated model building and MLOps for deployment and monitoring
  • Support for Python, R, and SQL for advanced customization
  • Scalable architecture for big data environments
Use Cases:
  • Rapid prototyping and experimentation with machine learning models
  • Enterprise-scale data analysis and predictive modeling
  • Operationalizing and deploying AI applications into production
Alternatives:
  • JupyterLab – Jupyter is a flexible, code-first notebook environment, whereas DSS offers a more structured, visual platform with built-in MLOps and collaboration features.
  • Databricks – Databricks is a unified data and analytics platform built around Apache Spark, while DSS focuses more on the end-to-end AI/ML lifecycle with a user-friendly interface for non-coders.
  • RStudio Workbench – RStudio is primarily focused on R (and Python) development, while DSS is language-agnostic and provides a broader suite for enterprise AI lifecycle management.
Version History
Detected Version Rev Change Commit
Aug 13, 2024 11:34pm 13.0.0 0 VERSION_BUMP 28982a1d
Jul 10, 2024 12:01pm 1.3.8 0 VERSION_BUMP 2be6d421
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