Etiq 2.1: Making ML Pipeline Development Effortless Just Got Even Better

We're thrilled to announce the launch of Etiq 2.1, our Data Science Copilot, packed with improvements that make building, testing, and debugging your ML pipelines smoother than ever. This release directly addresses the feedback we've heard from data scientists everywhere: you want powerful tools that work seamlessly with your existing workflow, without the learning curve.

What's New: Built for How You Actually Work

Jupyter Notebooks Compatibility - You asked, we listened. Etiq's Data Science Copilot now works directly in your Jupyter environment. Whether you're experimenting with new models or refining existing pipelines, you can generate lineages at the cell or script level, get test recommendations, and run root cause analysis without leaving your notebook. No more context switching or workflow disruption.

Enhanced Lineage Visualization - We've completely redesigned our lineage interface to better show the logical flow between your data and code. Understanding complex pipelines shouldn't require mental gymnastics. The new UI makes it instantly clear how your transformations connect, where your data originates, and how changes ripple through your system.

Expanded Test Coverage - Our test recommender now includes comprehensive data validation tests covering distributions, outliers, data quality issues, and more. These aren't generic tests, they're specifically tailored to your data and pipeline structure, helping you catch problems before they become production disasters.

User Function Analysis - Etiq can now trace lineages through your custom functions, providing complete visibility at every level of your code. No more black boxes in your pipeline visualization, just see exactly what's happening inside every function call.

Improved RCA Experience - We've streamlined how root cause analysis results are presented, making it clearer where our RCA agents are investigating, what they've discovered, and exactly what actions you should take to resolve issues.

Real-World Impact: More Innovation, Less Firefighting

For data scientists, these improvements mean spending less time debugging and more time building. The Jupyter integration eliminates the friction of switching between tools, while enhanced testing catches edge cases that could derail your models in production. When issues do arise, the improved RCA gets you to solutions faster, not days later.

For business leaders, this translates to faster time-to-value from your data science investments. Teams can iterate more quickly, deploy with confidence, and focus on innovation rather than maintenance. The comprehensive testing helps prevent the costly production failures that can damage both bottom lines and reputations.

The pattern is clear: better tools enable better outcomes. Etiq 2.1 continues our mission to help data scientists do what they do best, build amazing models, without getting bogged down in the technical overhead that traditionally slows down ML development.

Ready to experience Etiq 2.1? 

If you're a Data Scientist, follow our Quick Start, and start your 30-day free trial today:  docs.etiq.ai/quick-start 

If you're looking to improve your teams productivity reach out below and one of the team will be in touch to see how Etiq can speed innovation for you and your business.

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