Kolena

Data analysisDeveloper toolsSupports open-source models

What is Kolena?

Kolena is a machine learning testing platform designed to uncover hidden model behaviors and simplify evaluation. It helps teams perform high-resolution testing, track performance changes, and communicate model capabilities effectively. By automating workflows and organizing test data, it provides tools for crafting better tests and improving model understanding.

Features

Supports diverse data types like images and NLP

Enables fine-grained model performance testing

Automates workflows for testing and deployment

Stores evaluations without hosting raw data

Links

Website Documentation

Pros and Cons of Kolena

Pros

Simplifies complex model behavior analysis

Reduces manual annotation efforts

Integrates seamlessly with cloud storage

Provides actionable insights for production

Supports customizable testing pipelines

Cons

Limited to offline evaluation workflows

Requires API token management

No direct model hosting or training

Kolena Use Cases

Tests computer vision model edge cases

Evaluates NLP model accuracy trends

Tracks regression in structured data models

Analyzes model performance across scenarios

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