Skip to main content

title: SimpleAudit Studio emoji: 🔍 colorFrom: blue colorTo: indigo sdk: docker app_port: 7860 pinned: false

SimpleAudit Studio

SimpleAudit Studio — a platform for reproducible AI model audits

License: MIT Python PyPI

A self-hostable platform for running reproducible AI model audits using the SimpleAudit engine (Target → Auditor → Judge). Every audit captures frozen, versioned inputs so historical results stay interpretable years later.

🚀 Quick Start

uvx simpleaudit-studio

uvx installs the simpleaudit-studio package and runs it in an isolated environment. No Docker, no Postgres, no manual setup. Opens at http://localhost:8000 (login: admin / admin12345). A mock model server is pre-seeded so you can start exploring audit results immediately.

🌐 Or skip the setup entirely — try the live demo: sushantgautam-simpleaudit-studio.hf.space

🤖 Using Real Models

The pre-seeded connections point at a built-in mock server. To run real audits, update your model connections on the Models page to any OpenAI-compatible endpoint. A few common options:

Provider Base URL Example
Ollama (local) http://localhost:11434/v1 Qwen 3, Llama 3.3, Mistral
vLLM (GPU) http://your-gpu-server:8000/v1 Any HF model
OpenAI https://api.openai.com/v1 GPT-4o, o3
Together AI https://api.together.xyz/v1 Many open models
Groq https://api.groq.com/openai/v1 Fast inference

Set the API key in the connection form (leave blank for local servers that don't require auth), then launch an audit from the Scenario Library.

🐳 Self-Hosting

For teams, multi-user setups, or GPU worker pools, use Docker Compose:

git clone https://github.com/SushantGautam/SimpleAuditStudio
cd SimpleAuditStudio
cp .env.example .env
# edit POSTGRES_PASSWORD and BOOTSTRAP_PASSWORD at minimum
docker compose up -d

Services: Web UI (:8000), PostgreSQL, Hatchet queue (:8888), Worker. Optional profiles: --profile storage (MinIO), --profile mock (mock model API).

See docs/deployment.md for production hardening, GPU workers, backups, and upgrades.

✨ What You Can Do

  • Browse the scenario library and create new audit scenarios
  • Register model endpoints (OpenAI-compatible APIs)
  • Launch audits and watch live progress
  • Compare results across runs
  • Explore the visualizer for detailed analysis

🏗️ Architecture

Browser → Django/Gunicorn (:7860)
              ↓
         PostgreSQL 16 (domain + queue DBs)
              ↓
         Hatchet Server (durable job queue)
              ↓
         Worker (CPU pool) → SimpleAudit Engine
              Target → Auditor → Judge

📚 Documentation

  • Architecture — system design, service boundaries, deployment topology
  • Domain Model — scenarios, scenario sets, audit runs, immutability invariants
  • Deployment — Docker Compose, production hardening, GPU workers, upgrades

🤝 Contributing

Architecture decisions are documented in docs/architecture.md.

Release files for simpleaudit-studio 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for simpleaudit-studio 0.2.1
File Size Uploaded
simpleaudit_studio-0.2.1.tar.gz 461.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for simpleaudit-studio 0.2.1
File Interpreter ABI Platform
simpleaudit_studio-0.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 802.6 kB

Release files / simpleaudit_studio-0.2.1.tar.gz

Download URL simpleaudit_studio-0.2.1.tar.gz
Size 461.6 kB
Tags Source
SHA-256 checksum
How to use checksums
069e84d550ffec7992b637517b2d718d11981ae453a99e0d31426664b442e997
BLAKE2b-256 checksum
How to use checksums
427fb0c7bd7ca55957f5c85aee25ade840f1cc9676851c4d82048019de433df1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.7

Release files / simpleaudit_studio-0.2.1-py3-none-any.whl

Download URL simpleaudit_studio-0.2.1-py3-none-any.whl
Size 341.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
884476fb28e873d9ea9b69ad74fe76e3650e400f9a9b40146dcf6fa45d9b0555
BLAKE2b-256 checksum
How to use checksums
632f364561702d3c837b00c14284fab60fe7bba7da4516fa515887d3ac58fc6a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.7

Release history Release notifications | RSS feed

0.2.3

2 release files

0.2.2

2 release files

This release

0.2.1 This release

2 release files

0.2.0

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page