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 run an audit 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_ADMIN_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 0.2.0

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 0.2.0
File Size Uploaded
simpleaudit_studio-0.2.0.tar.gz 306.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for simpleaudit-studio 0.2.0
File Interpreter ABI Platform
simpleaudit_studio-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 647.3 kB

Release files / simpleaudit_studio-0.2.0.tar.gz

Download URL simpleaudit_studio-0.2.0.tar.gz
Size 306.9 kB
Tags Source
SHA-256 checksum
How to use checksums
994a98d0d877e1e62c11b2f869746f635fbdfddd2bd0797c40ab43b0b9da4221
BLAKE2b-256 checksum
How to use checksums
e3a414b72c8cdab526a325b302fdd2c0f48744f2f4bc06f681323b571a6cd3c0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 24, 2026.

Transparency log

Release files / simpleaudit_studio-0.2.0-py3-none-any.whl

Download URL simpleaudit_studio-0.2.0-py3-none-any.whl
Size 340.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
77d0e09fdc91873fdf5559a7ebd75007d2c5adfe58ae26fce026446568eea445
BLAKE2b-256 checksum
How to use checksums
fe650888732c522fd72710f20cc98acb5858d8f828093d45f27580ecd70d1c5e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 24, 2026.

Transparency log

Release history Release notifications | RSS feed

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

This release

0.2.0 This release

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