Home/AI Agents/trulens
trulens logo

trulens

truera/trulens

Evaluation and Tracking for LLM Experiments and AI Agents

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

66views this month

3.6k stars345 forksLast push Sep 18, 2026 Python MIT

Decision brief

Trulens aids in evaluating and monitoring Language Model experiments and AI agents, with integrations for various providers.

Good fit when

  • Need to evaluate specific models from OpenAI, Google Gemini, AWS Bedrock, or HuggingFace.
  • Focus on explainable machine learning through comprehensive evaluations.

Avoid when

  • Looking for a tool that solely focuses on training models rather than evaluation and monitoring.
  • Require support for less common model providers not listed in Trulens integrations.

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (1d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No criticals
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install trulens
PyPI

How it fits your stack(12)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Trulens is a toolset dedicated to evaluating and monitoring the performance of Language Model experiments and AI agents. It provides functionalities for comprehensive evaluation, aiding in explainable machine learning (ML) through various integrations with different model providers.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

LangChain integrationLangChain

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install trulens trulens-providers-langchain # LangChain models
Source link
LangGraph integrationLangGraph

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install trulens trulens-apps-langchain # LangChain / LangGraph
Source link
Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install trulens
Source link

Tags

README

Installation and Setup Install the trulens pip package from PyPI. Install with a specific LLM provider for feedback evaluation: Install with a specific app framework integration:

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.