argo-workflows
Argo Workflows API
Decision gist · record as of 2026-08-14
Yes, if you need to interact with Argo Workflows from Python code and have a Kubernetes cluster with Argo already running. The low install friction and active maintenance are positive signals. However, verify the license terms before use—the metadata shows the license as unclear, which is a blocker for some organizations. The package is API-binding code, so it requires familiarity with the Argo Workflows API itself.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Kubernetes cluster with Argo Workflows server already deployed and accessible.
- Low install friction with only two runtime dependencies (urllib3, python-dateutil).
- Actively maintained as of the latest release date.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before use in proprietary or restricted contexts.
last release 2026-08-14 (0 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 345,127 downloads/mo, #7,366 on PyPI
Alternatives
Verify before relying
pip install argo-workflows
import argo_workflows
# Use the client to interact with Argo Workflows API- Actual license type and terms—metadata shows 'unclear' treatment with no SPDX or raw license field populated.
- Whether this package is auto-generated from OpenAPI spec and how that affects maintenance or API stability.
- Specific Python version support beyond the minimum requirement of >=3.6.
What it is and what it does
argo-workflows is a Python client library for the Argo Workflows API, generated from OpenAPI specifications. It allows developers to programmatically interact with Argo Workflows, the container-native workflow orchestration engine for Kubernetes, without writing raw HTTP requests. The package depends only on urllib3 for HTTP communication and python-dateutil for timestamp handling, making it lightweight to integrate into existing Python applications.
This is primarily a generated API binding rather than a high-level abstraction layer. It exposes the full Argo Workflows API surface, so you interact with it by constructing API objects and calling methods that correspond to REST endpoints. It is useful when you need to submit, monitor, or manage workflows programmatically from Python code, or when building tools and dashboards that orchestrate Argo jobs on Kubernetes.
Use it for
- Submit and monitor Argo Workflows from Python scripts or applications without shell commands.
- Build CI/CD pipelines that programmatically trigger and track container workflows on Kubernetes.
- Create dashboards or management tools that query and manage Argo workflow status and history.
- Integrate workflow orchestration into Python-based data processing or ML training pipelines.
- Automate workflow lifecycle operations (create, delete, retry) from Python applications.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to interact with Argo Workflows from Python code and have a Kubernetes cluster with Argo already running.
The low install friction and active maintenance are positive signals. However, verify the license terms before use—the metadata shows the license as unclear, which is a blocker for some organizations. The package is API-binding code, so it requires familiarity with the Argo Workflows API itself.
Install
argo-workflows on PyPI
Before you install
Low install friction with only two runtime dependencies (urllib3, python-dateutil). Actively maintained as of the latest release date.
Requires Kubernetes cluster with Argo Workflows server already deployed and accessible.
License in practice
License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before use in proprietary or restricted contexts.
Quickstart
pip install argo-workflows
import argo_workflows
# Use the client to interact with Argo Workflows APIVerify before relying
- Actual license type and terms—metadata shows 'unclear' treatment with no SPDX or raw license field populated.
- Whether this package is auto-generated from OpenAPI spec and how that affects maintenance or API stability.
- Specific Python version support beyond the minimum requirement of >=3.6.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesurllib3python-dateutil |
| Maintenance | Actively maintained 0 days since the last release |
| First released | |
| Downloads | 345,127 / month, #7,366 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: argo_workflows-6.7.18-py3-none-any.whl
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