akeyless-cloud-id
AKEYLESS Cloud ID Retriever
Decision gist · record as of 2026-08-14
Yes, if you are integrating with Akeyless or another secrets system that accepts cloud identity tokens and you run workloads on AWS, GCP, or Azure. The low dependency footprint and automatic credential discovery make it a straightforward fit for cloud-native authentication. Not relevant if you are not using Akeyless or do not need cloud identity tokens.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Python 3.5+ required; optional cloud provider SDKs (boto3, google-auth, azure-identity) needed for their respective clouds if not already installed.
- Low install friction with only two runtime dependencies (urllib3 and requests).
- Marked as active maintenance with a recent release.
License · maintenance · safety
Apache 2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.
last release 2026-02-16 (179 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,900,731 downloads/mo, #2,829 on PyPI
Alternatives
Verify before relying
pip install akeyless-cloud-id
from akeyless_cloud_id import CloudId
cloud_id = CloudId()
id_token = cloud_id.generate() # AWS
# or cloud_id.generateGcp() for GCP
# or cloud_id.generateAzure() for Azure- Whether the package automatically discovers credentials in all three cloud environments or only when provider SDKs are installed.
- Current maintenance activity level beyond the 'active' status marker (commit frequency, issue response time).
- Whether Python 3.5 and 3.6 support remains tested given their end-of-life status.
What it is and what it does
akeyless-cloud-id is a lightweight Python library that generates cloud identity tokens from AWS, GCP, and Azure for use in authentication workflows. It wraps the cloud provider credential discovery process—automatically pulling AWS credentials from the default session, or GCP and Azure credentials from their respective environment configurations—and exposes them as tokens suitable for downstream authentication systems like Akeyless.
The package is designed to integrate into CI/CD pipelines and application startup routines where you need to authenticate to a secrets management system using your cloud provider's native identity. It depends only on urllib3 and requests at runtime, with optional extras (boto3, google-auth, azure-identity) for each cloud provider, so you can keep dependencies minimal if targeting a single cloud.
Use it for
- Retrieve AWS IAM identity tokens in AWS CodePipeline or Lambda to authenticate to Akeyless for secrets retrieval.
- Generate GCP identity tokens in Cloud Run or Compute Engine to authenticate application requests to Akeyless.
- Obtain Azure Managed Identity tokens in Azure Container Instances or App Service for cloud-native secret management.
- Automate credential discovery in multi-cloud deployments where different services run on different providers.
- Simplify CI/CD authentication by letting the package auto-detect cloud provider credentials instead of managing keys manually.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are integrating with Akeyless or another secrets system that accepts cloud identity tokens and you run workloads on AWS, GCP, or Azure.
The low dependency footprint and automatic credential discovery make it a straightforward fit for cloud-native authentication. Not relevant if you are not using Akeyless or do not need cloud identity tokens.
Install
akeyless-cloud-id on PyPI
Before you install
Low install friction with only two runtime dependencies (urllib3 and requests). Marked as active maintenance with a recent release. Optional extras for AWS, GCP, and Azure reduce bloat when targeting a single cloud provider.
Python 3.5+ required; optional cloud provider SDKs (boto3, google-auth, azure-identity) needed for their respective clouds if not already installed.
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.
Quickstart
pip install akeyless-cloud-id
from akeyless_cloud_id import CloudId
cloud_id = CloudId()
id_token = cloud_id.generate() # AWS
# or cloud_id.generateGcp() for GCP
# or cloud_id.generateAzure() for AzureVerify before relying
- Whether the package automatically discovers credentials in all three cloud environments or only when provider SDKs are installed.
- Current maintenance activity level beyond the 'active' status marker (commit frequency, issue response time).
- Whether Python 3.5 and 3.6 support remains tested given their end-of-life status.
Package facts
| License | Apache 2.0 permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesurllib3requests |
| Maintenance | Actively maintained 179 days since the last release |
| First released | |
| Downloads | 2,900,731 / month, #2,829 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Topic :: Security |
Evidence: akeyless_cloud_id-0.3.1-py3-none-any.whl
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See also akeyless · cloudauthz · azure-identity · apache-airflow-providers-akeyless · gcloud-rest-auth · gcloud-aio-auth · redis-entraid · azure-identity-broker · c7n · microsoft-kiota-authentication-azure