iFixAi logo

iFixAi

ifixai-ai/iFixAi

Tool for evaluating and grading AI models on safety and alignment metrics

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

70views this month

16k stars1.3k forksLast push Sep 18, 2026 Python Apache-2.0

Decision brief

iFixAi assesses AI models using 45 inspections for safety and alignment, returning grades in minutes.

Good fit when

  • You need a quick evaluation of an AI model's safety and alignment across industry standards
  • Your project requires detection of advanced risks such as sabotage or oversight evasion

Avoid when

  • If real-time assessment is necessary since iFixAi takes up to five minutes to return results
  • When detailed customization of inspection criteria beyond predefined checks is required

Observed Jul 17, 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 lockfile
As of Jul 11, 2026

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

Install

pip install iFixAi
PyPI

Similar 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

iFixAi is an automated evaluation tool that assesses AI models with predefined inspections to detect risks and blind spots related to AI governance and safety. Supports model-agnostic analysis.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 20, 2026

Languages
python

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

Categories

Compatibility

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

Python runtimePython

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

pip install "ifixai[anthropic]"
Source link

Tags

README

Quick start Now try it yourself. Pick a path from the table above; full walkthrough: docs/get started.md . 1. Install the CLI + the extra for the provider you'll test pip install "ifixai[anthropic]" License Apache 2.0 <p align="center" <a href="docs/traction.md" Traction</a : ins...

For agents

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

Was this helpful?

Anonymous feedback helps us improve pages and translations.