arnparse
Parse ARNs using Python
Decision gist · record as of 2026-08-14
No. The package is abandoned (last update March 2019, repository archived) with an unclear license and no maintenance signal. While it has low install friction and no known vulnerabilities, the lack of updates means it will not handle new AWS services or ARN formats introduced since 2019. For active projects, consider using the ARN parsing built into boto3 or a maintained alternative.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Installation is frictionless with no runtime dependencies, but the package is abandoned—last commit was 2019-10-22 and the repository is archived.
- No maintenance or updates are expected.
License · maintenance · safety
(unclear) — License status is unclear; no SPDX identifier or raw license text is recorded. Verify the actual license terms in the repository before using in proprietary or copyleft-sensitive contexts.
last release 2019-03-12 (2712 days) · last repo commit 2019-10-22 · 36 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 688,223 downloads/mo, #5,342 on PyPI
Alternatives
Verify before relying
pip install arnparse
from arnparse import arnparse
arn = arnparse('arn:aws:s3:::my_bucket/object.png')
print(arn.service, arn.resource)- Whether the unclear license status has been resolved or documented elsewhere in the repository
- Whether the package correctly handles all current AWS ARN formats, given no updates since 2019
What it is and what it does
arnparse is a lightweight Python library that takes an Amazon Resource Name (ARN) string and breaks it into its structural components: partition, service, region, account ID, resource type, and resource identifier. It handles the variation in ARN formats across different AWS services—some ARNs omit region or account ID, others use colons or slashes to delimit resource types—and exposes each component as an attribute on the parsed object.
The package has no runtime dependencies and installs with minimal friction. However, it has been abandoned since October 2019 with no updates to handle new AWS services or ARN format changes. The license treatment is unclear, which may pose a compliance risk depending on your use case.
Use it for
- Extract the AWS account ID and region from an ARN in an IAM policy or resource tag for audit or routing logic
- Parse S3 ARNs to identify bucket names and object paths in access control or logging workflows
- Decompose EC2, VPC, or CloudWatch ARNs to validate resource ownership or build resource-aware monitoring dashboards
- Validate and normalize ARN strings in configuration files or API responses before passing them to AWS SDK calls
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last update March 2019, repository archived) with an unclear license and no maintenance signal. While it has low install friction and no known vulnerabilities, the lack of updates means it will not handle new AWS services or ARN formats introduced since 2019. For active projects, consider using the ARN parsing built into boto3 or a maintained alternative.
Install
arnparse on PyPI
Before you install
Installation is frictionless with no runtime dependencies, but the package is abandoned—last commit was 2019-10-22 and the repository is archived. No maintenance or updates are expected.
License in practice
License status is unclear; no SPDX identifier or raw license text is recorded. Verify the actual license terms in the repository before using in proprietary or copyleft-sensitive contexts.
Quickstart
pip install arnparse
from arnparse import arnparse
arn = arnparse('arn:aws:s3:::my_bucket/object.png')
print(arn.service, arn.resource)Verify before relying
- Whether the unclear license status has been resolved or documented elsewhere in the repository
- Whether the package correctly handles all current AWS ARN formats, given no updates since 2019
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 2,712 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 688,223 / month, #5,342 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: arnparse-0.0.2-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “extract ARN components”
- arnparseParses Amazon Resource Names (ARNs) into their component…
- arnParses AWS ARN strings into typed objects with structured access to…
- policyuniverseParses and analyzes AWS IAM and Resource Policies, extracts…
Give your agent the search over MCP, or paste the wish link into any chat.
More Utilities packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Pygments is a syntax highlighter that colorizes source code and text in over 500 languages and formats, outputting to HTML, LaTeX, RTF, SVG, images, or ANSI terminal sequences.
Install it if you need to display or transform source code.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
See also arn · policyuniverse · pulumi-awsx · s3urls · policy-sentry · awacs · sagemaker-studio · aws-cdk.aws-ec2 · aws-cdk.aws-fsx · aws-cdk.aws-s3