Comparison
autogen vs metric-learn
Verdict
Pick autogen when license: autogen is CC-BY-4.0, metric-learn is MIT; pick metric-learn when license: metric-learn is MIT, autogen is CC-BY-4.0.
Markdown twin · autogen alternatives · metric-learn alternatives
GraphCanon updated today
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Trust & integrity
| Signal | autogen | metric-learn |
|---|---|---|
| Maintenance | Steady (87d since push) As of today · github_public_v1 | Slowing (114d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- autogen
- A programming framework for agentic AI
- metric-learn
- Metric learning algorithms in Python
Stars
- autogen
- 60k
- metric-learn
- 1.4k
Forks
- autogen
- 9.0k
- metric-learn
- 232
Open issues
- autogen
- 945
- metric-learn
- 51
Language
- autogen
- Python
- metric-learn
- Python
Adopt for
- autogen
- AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
- metric-learn
- -
Persona
- autogen
- -
- metric-learn
- -
Runtime
- autogen
- -
- metric-learn
- -
License
- autogen
- CC-BY-4.0
- metric-learn
- MIT
Last pushed
- autogen
- Apr 15, 2026
- metric-learn
- Mar 19, 2026
Categories
- autogen
- AI Agents, LLM Frameworks
- metric-learn
- Computer Vision, LLM Frameworks
Trust and health
Maintenance
- autogen
- Steady (60%)
- metric-learn
- Slowing (36%)
Days since push
- autogen
- 87d
- metric-learn
- 114d
Open issues (now)
- autogen
- 945
- metric-learn
- 51
Full report
- autogen
- Trust report
- metric-learn
- Trust report
Shared compatibility
- Python · autogen: Python runtime · metric-learn: Python runtime
Choose autogen if…
- License: autogen is CC-BY-4.0, metric-learn is MIT.
- Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
- Tags unique to autogen: agentic-agi, agents, ai, autogen.
- Also covers AI Agents.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When NOT to use autogen
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
Choose metric-learn if…
- License: metric-learn is MIT, autogen is CC-BY-4.0.
- Tags unique to metric-learn: machine-learning, metric-learning, python, scikit-learn.
- Also covers Computer Vision.
When NOT to use metric-learn
- Last GitHub push was 114 days ago (slowing maintenance, Mar 19, 2026). Validate activity before betting a new project on metric-learn.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/autogen) · observed Jul 11, 2026
- GitHub forks (microsoft/autogen) · observed Jul 11, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (scikit-learn-contrib/metric-learn) · observed Jul 11, 2026
- GitHub forks (scikit-learn-contrib/metric-learn) · observed Jul 11, 2026
- Last push (scikit-learn-contrib/metric-learn) · observed Mar 19, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · metric-learn 1.4k (synced Jul 11, 2026).
Common questions
- What is the difference between autogen and metric-learn?
- autogen: A programming framework for agentic AI. metric-learn: Metric learning algorithms in Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogen over metric-learn?
- Choose autogen over metric-learn when License: autogen is CC-BY-4.0, metric-learn is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- When should I choose metric-learn over autogen?
- Choose metric-learn over autogen when License: metric-learn is MIT, autogen is CC-BY-4.0; Tags unique to metric-learn: machine-learning, metric-learning, python, scikit-learn; Also covers Computer Vision.
- When should I avoid autogen?
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as
playwright/mcp, as AutoGen requires this setup for certain functionalities. - When should I avoid metric-learn?
- Last GitHub push was 114 days ago (slowing maintenance, Mar 19, 2026). Validate activity before betting a new project on metric-learn. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is autogen or metric-learn more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 1,437). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and metric-learn open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, metric-learn: MIT).
- Where can I find alternatives to autogen or metric-learn?
- GraphCanon lists graph-backed alternatives at autogen alternatives and metric-learn alternatives (autogen markdown twin, metric-learn 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, autogen or metric-learn?
- autogen: Steady. metric-learn: Slowing. 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 autogen and metric-learn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; metric-learn trust report.