Skip to main content

A Jupyter-compatible plugin that detects risky ML model and dataset loads.

Project description

MAIS - ML Model Audit & Inspection System

A Python notebook plugin that watches for potentially risky model or dataset loads in Jupyter notebooks. MAIS analyzes code in real-time to detect when you're trying to load models that might require special permissions or licensing.

Installation

# Using pip
pip install mais
# Import and initialize the MAIS plugin
from mais import MAIS

m = MAIS(api_token="<manifest-api-token>")
# Now run your notebook as normal
# MAIS will monitor for potentially risky model loads

SBOM Generation

# Generate an SBOM for your project or notebook environment.
m.create_sbom(path=".", publish=False)

SBOM Publishing

m.create_sbom(path=".", publish=True)

Environment Variables

MAIS supports configuration through environment variables:

  • MANIFEST_API_TOKEN - API token for MOSAIC/Manifest integration
  • MAIS_MOSAIC_API_URL - Override default API URL
  • MAIS_DEFAULT_VERBOSITY - Set default logging level
  • MAIS_API_TIMEOUT - API request timeout in seconds

All configuration values can be overridden with MAIS_ prefix.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mais-0.3.2.tar.gz (46.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mais-0.3.2-py3-none-any.whl (46.8 MB view details)

Uploaded Python 3

File details

Details for the file mais-0.3.2.tar.gz.

File metadata

  • Download URL: mais-0.3.2.tar.gz
  • Upload date:
  • Size: 46.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for mais-0.3.2.tar.gz
Algorithm Hash digest
SHA256 77f1147fc975f6a536856fbe1cf6757975141db1b5a67ccc9a80273ad7ce5a4b
MD5 646746dc0601d24b34cc2227db8fb57f
BLAKE2b-256 b91f4885fdc88f835eb699fe399af0cd8f46b997704fec2c7b3ac8a2257285c6

See more details on using hashes here.

File details

Details for the file mais-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: mais-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 46.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for mais-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 28130ae0c07bafef35ab31a9796fd30930b651ff93837abf441cadd9ab30bea7
MD5 1ee7cdad8a2589904b0b6da703ebc194
BLAKE2b-256 aa465a7b1a14a1263cdf6e4b0d0bafe5b89c15356c279471887371bb2840c9cb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page