Comparison
agent-framework vs docker-airflow
Verdict
Pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments; pick docker-airflow if docker-airflow leverages Docker to provide streamlined management of Apache Airflow environments, making it easy for developers to maintain and deploy workflows.
Markdown twin · agent-framework alternatives · docker-airflow alternatives
GraphCanon updated Sep 18, 2026
10views this month
vs
Trust & integrity
| Signal | agent-framework | docker-airflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (1294d since push) As of Sep 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agent-framework
- Framework for building and deploying AI agents and multi-agent workflows
- docker-airflow
- Docker Apache Airflow
Stars
- agent-framework
- 14k
- docker-airflow
- 3.8k
Forks
- agent-framework
- 2.3k
- docker-airflow
- 591
Open issues
- agent-framework
- 605
- docker-airflow
- 261
Language
- agent-framework
- Python
- docker-airflow
- Shell
Adopt for
- agent-framework
- The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
- docker-airflow
- docker-airflow leverages Docker to provide streamlined management of Apache Airflow environments, making it easy for developers to maintain and deploy workflows.
Persona
- agent-framework
- -
- docker-airflow
- -
Runtime
- agent-framework
- -
- docker-airflow
- -
License
- agent-framework
- MIT
- docker-airflow
- Apache-2.0
Last pushed
- agent-framework
- Sep 18, 2026
- docker-airflow
- Mar 1, 2023
Categories
- agent-framework
- AI Agents, Developer Tools
- docker-airflow
- Developer Tools
Trust and health
Maintenance
- agent-framework
- Very active (96%)
- docker-airflow
- Dormant (18%)
Days since push
- agent-framework
- 0d
- docker-airflow
- 1294d
Open issues (now)
- agent-framework
- 605
- docker-airflow
- 261
Stars delta
- agent-framework
- +855 (30d)
- docker-airflow
- -1 (30d)
Open issues delta
- agent-framework
- -80 (30d)
- docker-airflow
- 0 (30d)
Owner type
- agent-framework
- Organization
- docker-airflow
- User
Full report
- agent-framework
- Trust report
- docker-airflow
- Trust report
Shared compatibility
- Python · agent-framework: Python runtime · docker-airflow: Python runtime
Choose agent-framework if…
- agent-framework is primarily Python; docker-airflow is Shell.
- License: agent-framework is MIT, docker-airflow is Apache-2.0.
- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
- Also covers AI Agents.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When NOT to use agent-framework
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
Choose docker-airflow if…
- docker-airflow is primarily Shell; agent-framework is Python.
- License: docker-airflow is Apache-2.0, agent-framework is MIT.
- Pricing: Open source under the Apache-2.0 license, it is free of cost, but support and enterprise features might come at a premium..
- Requirements: Requires Docker.
- Tags unique to docker-airflow: airflow, docker.
- docker-airflow ships Docker support for self-hosted deployment.
- Opt for docker-airflow if you are already using Docker in your workflow setup, because it seamlessly integrates with existing infrastructure without needing additional configuration steps.
When NOT to use docker-airflow
- Avoid docker-airflow if you require a completely customized setup for your workflow management system and have limited experience or resources to understand and manage Docker configurations.
- Should be avoided in environments where there is no need for containerization benefits as using docker-airflow may introduce unneeded complexity.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/agent-framework) · observed Sep 18, 2026
- GitHub forks (microsoft/agent-framework) · observed Sep 18, 2026
- Last push (microsoft/agent-framework) · observed Sep 18, 2026
- License file (MIT) · observed Sep 18, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (puckel/docker-airflow) · observed Sep 16, 2026
- GitHub forks (puckel/docker-airflow) · observed Sep 16, 2026
- Last push (puckel/docker-airflow) · observed Mar 1, 2023
- License file (Apache-2.0) · observed Sep 16, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agent-framework 14k · docker-airflow 3.8k (synced Sep 18, 2026).
Common questions
- What is the difference between agent-framework and docker-airflow?
- agent-framework: Framework for building and deploying AI agents and multi-agent workflows. docker-airflow: Docker Apache Airflow. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-framework over docker-airflow?
- Choose agent-framework over docker-airflow when agent-framework is primarily Python; docker-airflow is Shell; License: agent-framework is MIT, docker-airflow is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers AI Agents; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
- When should I choose docker-airflow over agent-framework?
- Choose docker-airflow over agent-framework when docker-airflow is primarily Shell; agent-framework is Python; License: docker-airflow is Apache-2.0, agent-framework is MIT; Pricing: Open source under the Apache-2.0 license, it is free of cost, but support and enterprise features might come at a premium.; Requirements: Requires Docker; Tags unique to docker-airflow: airflow, docker; docker-airflow ships Docker support for self-hosted deployment; Opt for docker-airflow if you are already using Docker in your workflow setup, because it seamlessly integrates with existing infrastructure without needing additional configuration steps.
- When should I avoid agent-framework?
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
- When should I avoid docker-airflow?
- Avoid docker-airflow if you require a completely customized setup for your workflow management system and have limited experience or resources to understand and manage Docker configurations. Should be avoided in environments where there is no need for containerization benefits as using docker-airflow may introduce unneeded complexity.
- Is agent-framework or docker-airflow more popular on GitHub?
- agent-framework has more GitHub stars (13,573 vs 3,810). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-framework and docker-airflow open source?
- Yes - both are open-source projects on GitHub (agent-framework: MIT, docker-airflow: Apache-2.0).
- Where can I find alternatives to agent-framework or docker-airflow?
- GraphCanon lists graph-backed alternatives at agent-framework alternatives and docker-airflow alternatives (agent-framework markdown twin, docker-airflow markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agent-framework or docker-airflow?
- agent-framework: Very active. docker-airflow: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agent-framework and docker-airflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-framework trust report; docker-airflow trust report.