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truera/trulens

Evaluation and Tracking for LLM Experiments and AI Agents

★3.6KSTARS
⑂350FORKS
!82ISSUES
🏆#2,325GLOBAL RANK
🔥12DAYS TRENDING
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+90

STARS · LAST 30 DAYS

3

PER DAY

#337

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+8+90+270
Per day133
Forks gained+5+7+18

trulens gained 90 stars in the last 30 days, about 3 a day, and now has 3.6K. It is about 6 years old and has averaged roughly 597 stars a year. It ranks #337 among Python repositories and #2,325 across all languages on GitHubRepo.

Trending Record

trulens has maintained a continuous presence across global trending indexes, peaking at #1117. Below is the 30-day activity profile:

💡 Overview

trulens is an open-source project written in Python: Evaluation and Tracking for LLM Experiments and AI Agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-evaluation, agentops, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install trulens

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

trulens coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with trulens.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install trulens using your package manager: `pip install trulens`

2

Initialize your project workspace or configuration file for trulens.

3

Import trulens into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `trulens --help` to verify successful setup.

👍 Strengths

Active community backing with 3,571 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

truera/trulens is currently ranked #2,325 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does trulens do? +

Evaluation and Tracking for LLM Experiments and AI Agents

What language is trulens written in? +

The primary language is Python. Topics include: agent-evaluation, agentops, ai-agents, ai-monitoring, ai-observability.

Is trulens actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 82 open issues being tracked.

How many stars does trulens have? +

trulens has 3,581 stars and 350 forks on GitHub.

How does trulens rank among GitHub repositories? +

With 3,581 stars, truera/trulens is ranked #2,325 globally across all repositories tracked on GitHubRepo and #337 among Python projects.

What license is trulens distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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