avidtools
Developer tools for AVID
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later; no other system dependencies noted.
- 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 · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows free use, modification, and distribution in most contexts without significant legal friction.
last release 2026-03-19 (148 days) · last repo commit 2026-05-12 · 11 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 108,664 downloads/mo, #12,545 on PyPI
Alternatives
Verify before relying
pip install avidtools
from avidtools import AVIDReport # or relevant data model
report = AVIDReport(...) # populate with vulnerability data- 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.
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 on this page. Verify before relying on it.
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
avidtools on PyPI
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.
Requires Python 3.12 or later; no other system dependencies noted.
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 dataVerify 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 the current Python release >=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesbeautifulsoup4lxmlopenaipydanticrequeststyping-extensionsurllib3 |
| Maintenance | Actively maintained 148 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 108,664 / month, #12,545 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.12Topic :: SecurityTopic :: Software Development :: Libraries :: Python Modules |
Evidence: avidtools-0.3.2-py3-none-any.whl
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