GraphCanon updated 3w · GitHub synced 3w
Decision brief
Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
Good fit when
- When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.
- If you are working with tools like LangGraph, CrewAI, OpenAI, or Anthropic where you require robust behavior comparison capabilities.
Avoid when
- If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time.
- When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
- Pricing:
- freemium - Free to use under the terms of the Apache License, Version 2.0.
- Requirements:
- Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (6d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- 1 medium (1 medium)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install eval-viewSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool to snapshot and compare AI agent behavior over time, identifying regressions in functionality or output quality.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 2, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 2, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 2, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 2, 2026
- Languages
- python, javascript, typescript
Source: github.language+package.json+pyproject.toml · Aug 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Quick Start
pip install evalview
evalview snapshot # Record your agent's current behavior as the baseline
evalview check # After any change, diff against the baseline
That's the whole loop. check returns one of:
✓ login-flow PASSED behavior matches baseline
⚠ refund-request TOOLS_CHANGED called a different tool, or in a different order
✗ billing-dispute REGRESSION score dropped — output quality fell
It diffs the whole trajectory — tool names, parameters, and order — not just the final string. The deterministic tool + sequence diff runs offline, with no API key. Add an LLM judge only when you want output-quality scoring.
No agent yet? See it work in 30 seconds:
evalview demo
For agents
This page has a .md twin and JSON over the API.