GraphCanon updated today · GitHub synced today · 28 views this month
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 (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install trulens PyPIHow 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 · Aug 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 20, 2026)
pip install trulens trulens-providers-langchain # LangChain modelsSource link
Source: README excerpt (regex_v1, Aug 20, 2026)
pip install trulens trulens-apps-langchain # LangChain / LangGraphSource link
Tags
README
Installation and Setup
Install the trulens pip package from PyPI.
pip install trulens
Install with a specific LLM provider for feedback evaluation:
pip install trulens trulens-providers-openai # OpenAI / Azure OpenAI
pip install trulens trulens-providers-litellm # LiteLLM (Anthropic, Cohere, Mistral, …)
pip install trulens trulens-providers-google # Google Gemini
pip install trulens trulens-providers-bedrock # AWS Bedrock
pip install trulens trulens-providers-cortex # Snowflake Cortex
pip install trulens trulens-providers-huggingface # HuggingFace
pip install trulens trulens-providers-langchain # LangChain models
Install with a specific app framework integration:
pip install trulens trulens-apps-langchain # LangChain / LangGraph
pip install trulens trulens-apps-llamaindex # LlamaIndex
For agents
This page has a .md twin and JSON over the API.