---
id: iamdata
version: "0.1.202608141"
license: unclear
license_treatment: permissive
maintenance: active
---

# iamdata — IAM data for AWS actions, resources, and conditions based on IAM policy documents. Checked for updates daily.

License: permissive · Maintenance: active · Downloads: 165.8K/mo

## What it is and what it does

iamdata is a Python library that embeds AWS IAM service metadata—including actions, resources, and condition keys—directly in the package. It lets you query this data programmatically without making external API calls. The package is updated daily by checking against AWS IAM documentation, so the data stays current as AWS services and permissions evolve.

You use it by instantiating an IAMData object and then calling methods on its services, actions, resources, and conditions attributes to look up details: service names from keys, all actions for a service, action metadata like resource types and condition keys, resource type definitions, and condition key specifications. It's designed for developers building IAM policy tools, permission auditors, or access-control frameworks who need reliable, offline access to the AWS permission model.

Use it for:

- Build an IAM policy validator that checks whether actions and resources in a policy document actually exist in AWS.
- Generate documentation or reference tables of all AWS IAM actions, resources, and conditions for a given service.
- Implement an access-control policy builder that autocompletes or validates IAM action and resource names.
- Audit existing IAM policies to map actions to their required resource types and condition keys.
- Create a permission matrix or comparison tool showing which actions are available across different AWS services.

## Worth the install?

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

Provides programmatic access to AWS IAM service definitions—actions, resources, and condition keys—with data embedded in the package and updated daily against AWS documentation.

Yes. The package has zero dependencies, low install friction, active maintenance with daily data updates, and a permissive MIT license. It fills a concrete need for offline IAM metadata lookup without external API calls. Use it if you're building IAM tooling, policy validators, or permission auditors.

## Install

pip install iamdata
uv add iamdata
poetry add iamdata

## Installing iamdata

Before you install: Low install friction with no runtime dependencies. Active maintenance with daily data updates and a recent commit history.

License in practice: Licensed under MIT (permissive), allowing use in proprietary and open-source projects without significant restrictions.

Quickstart:

pip install iamdata

from iamdata import IAMData

iam_data = IAMData()
for service_key in iam_data.services.get_service_keys():
    actions = iam_data.actions.get_actions_for_service(service_key)
    print(f"{service_key}: {len(actions)} actions")

Verify before relying:

- Whether the daily update mechanism is automatic or requires manual intervention to refresh the package.
- Performance characteristics when iterating over all services, actions, and resources in a single session.

## Package facts

- License: not declared (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 165.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

AWS IAM data lookup, IAM actions resources conditions, AWS service permissions reference, IAM policy data library, AWS IAM metadata, service action enumeration, aws-iam, policy-reference, metadata-lookup

[View on SkillFed](https://skillfed.io/packages/iamdata) · [View on PyPI](https://pypi.org/project/iamdata/)