TruLens
Evaluate and Track Your LLM Apps
Overview
TruLens is an open-source Python library for evaluating and tracking LLM-based applications. It provides a set of tools for instrumenting and evaluating the performance of LLM apps, including feedback functions for measuring quality aspects like relevance, groundedness, and toxicity. TruLens is designed to be used in both development and production environments.
✨ Key Features
- LLM Application Evaluation
- Feedback Functions for Quality Metrics
- Instrumentation and Tracking
- Dashboard for Visualization and Analysis
- Open-Source
🎯 Key Differentiators
- Focus on evaluation with feedback functions
- Open-source and easy to integrate into Python workflows
- Provides a dashboard for visualizing evaluations
Unique Value: Provides a flexible and extensible open-source framework for evaluating the quality and performance of LLM applications.
🎯 Use Cases (4)
🏆 Alternatives
Its focus on feedback functions and ease of integration into Python workflows makes it a strong choice for developers who want to build custom evaluation pipelines.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Live Chat
- ✓ Dedicated Support (NA tier)
💰 Pricing
Free tier: Open-source and free to use
🔄 Similar Tools in AI Latency Tracking
Datadog
A monitoring and analytics platform for cloud-scale applications, providing monitoring of servers, d...
New Relic
A comprehensive observability platform that provides full-stack visibility into your applications, i...
Arize AI
An end-to-end platform for ML observability and model monitoring, helping teams detect issues, troub...
WhyLabs
An AI observability platform that enables teams to monitor their machine learning models and data pi...
Fiddler AI
A platform for explainable AI monitoring, providing visibility and insights into model behavior and ...
Galileo
A platform for ML teams to evaluate, monitor, and debug their models and data....