ansible/ansible-runner

Description: A tool and python library that helps when interfacing with Ansible directly or as part of another system whether that be through a container image...

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Summary Information

Updated 2 hours ago
Added to GitGenius on July 14th, 2026
Created on February 2nd, 2018
Open Issues & Pull Requests: 108 (+0)
GitHub issues: Enabled
Number of forks: 380
Total Stargazers: 1,073 (+0)
Total Subscribers: 45 (+0)

Issue Activity (beta)

Open issues: 25
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 1,101 days
Stale 30+ days: 24
Stale 90+ days: 24

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • needs_triage (11)
  • enhancement (10)
  • waiting_on_contributor (6)
  • needs_info (5)
  • docs (3)
  • bug (2)
  • needs_verified (1)
  • traceback (1)

Most active issues this week

Repository Insights (GitGenius)

Median issue/PR response: 10.5 hours
Mean response time: 58.8 days
90th percentile: 224.1 days
Tracked items: 64

Most active contributors

Detailed Description

Ansible Runner is a Python-based tool and library designed to provide a stable, consistent interface for interacting with Ansible, whether as a standalone application, container image, or importable Python module. The project addresses the need for standardized abstraction when integrating Ansible into larger systems or using it programmatically outside of traditional command-line contexts.

The repository serves multiple use cases across different deployment and integration scenarios. Users can leverage Ansible Runner as a command-line tool for direct Ansible execution, deploy it as a containerized interface for orchestration within container-based environments, or import it as a Python library to embed Ansible functionality within custom applications. This multi-faceted approach allows developers and operators to choose the integration method that best fits their architectural requirements without needing to learn different interfaces for each deployment style.

The project maintains active development with ongoing issue tracking and feature planning through GitHub issues and milestones, indicating a structured approach to roadmap management and community feedback integration. The repository demonstrates engagement with its user base through multiple communication channels, including a dedicated contributing guide and community documentation section. The project also aligns with broader Ansible communication standards, ensuring consistency with the wider Ansible ecosystem.

As a Python-based project, Ansible Runner leverages Python's flexibility and the extensive Ansible Python API to create its abstraction layer. The tool is designed specifically to handle the complexity of interfacing with Ansible programmatically, which can be challenging due to Ansible's stateful nature and complex configuration requirements. By providing a unified interface, Ansible Runner reduces the friction developers experience when trying to integrate Ansible into their systems.

The documentation is maintained through a dedicated Read the Docs instance at ansible-runner.rtfd.io, providing comprehensive usage details and API documentation for both the command-line tool and Python library interfaces. This emphasis on documentation reflects the project's commitment to making Ansible integration accessible to users with varying levels of Ansible expertise.

The project's positioning within the Ansible ecosystem indicates it serves as a bridge between Ansible's core functionality and external systems that need to orchestrate or execute Ansible playbooks and tasks programmatically. Rather than requiring users to shell out to Ansible commands or manage complex subprocess interactions, Ansible Runner encapsulates these concerns within a well-defined API.

The repository's focus on providing a stable interface abstraction suggests that backward compatibility and API consistency are important design principles. This stability-first approach makes Ansible Runner suitable for production systems where interface changes could have significant downstream impacts. The project's structure supporting multiple deployment models demonstrates flexibility in how organizations can adopt and integrate Ansible automation into their existing infrastructure and development workflows.

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