---
id: avidtools
version: "0.3.2"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# avidtools — Developer tools for AVID

License: permissive · Maintenance: active · Downloads: 108.7K/mo

## What it is and what it does

avidtools is a developer library for working with AVID (AI Vulnerability Database) reports. It provides two main components: Pydantic-based data models that define the structure of an AVID report with supporting enums and fields, and connectors that fetch vulnerability data from external sources like MITRE ATLAS and reshape it into AVID-compliant report format.

The package is built on standard web and data-handling libraries (beautifulsoup4, lxml, requests, pydantic) plus OpenAI integration, suggesting support for both structured data parsing and AI-assisted analysis. It targets developers working on AI security tooling, vulnerability research, or compliance frameworks that need to standardize how AI vulnerabilities are documented and exchanged.

Use it for:

- Standardize AI vulnerability reports across teams by using AVID data models as a common schema.
- Ingest vulnerability data from MITRE ATLAS and other sources, then export as AVID-compliant reports.
- Build security dashboards or compliance tools that need to consume and validate AVID-formatted vulnerability data.
- Integrate AI vulnerability tracking into existing security workflows via the library's connectors.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

avidtools provides Pydantic data models and connectors for structuring AI vulnerability reports in the AVID format, with built-in support for pulling data from sources like MITRE ATLAS.

Yes, if you are working on AI security tooling or need to standardize vulnerability reporting in AVID format. The package is actively maintained, has no known vulnerabilities, and carries a permissive license. The Python 3.12+ requirement is a minor constraint. Install it if AVID compliance or MITRE ATLAS integration is part of your workflow; skip it if you don't need structured AI vulnerability reporting.

## Install

pip install avidtools
uv add avidtools
poetry add avidtools

## Installing avidtools

Before you install: Low install friction with a pure-Python wheel and active maintenance; last commit 2026-05-12 and status marked active. Requires Python 3.12+, which is current but narrows compatibility.

License in practice: Apache-2.0 permissive license allows free use, modification, and distribution in most contexts without significant legal friction.

Quickstart:

pip install avidtools

from avidtools import AVIDReport  # or relevant data model
report = AVIDReport(...)  # populate with vulnerability data

Requires Python 3.12 or later; no other system dependencies noted.

Verify before relying:

- Whether the OpenAI integration is optional or required for core functionality.
- Specific connector implementations available beyond MITRE ATLAS.
- Whether the package is suitable for production use or remains primarily experimental.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 108.7K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

ai vulnerability reporting, avid report data models, vulnerability data connectors, security vulnerability framework, machine learning vulnerability tracking, avid compliance tools, vulnerability metadata structure, ai-security, vulnerability-reporting, data-models

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