Comparison
FEDOT vs autogen
Verdict
Pick FEDOT when license: FEDOT is BSD-3-Clause, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, FEDOT is BSD-3-Clause.
Markdown twin · FEDOT alternatives · autogen alternatives
GraphCanon updated today
Trust & integrity
| Signal | FEDOT | autogen |
|---|---|---|
| Maintenance | Very active (3d since push) As of today · github_public_v1 | Steady (87d 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) | 27 low (27 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- FEDOT
- Automated modeling and machine learning framework FEDOT
- autogen
- A programming framework for agentic AI
Stars
- FEDOT
- 709
- autogen
- 60k
Forks
- FEDOT
- 92
- autogen
- 9.0k
Open issues
- FEDOT
- 83
- autogen
- 945
Language
- FEDOT
- Python
- autogen
- Python
Adopt for
- FEDOT
- -
- 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.
Persona
- FEDOT
- -
- autogen
- -
Runtime
- FEDOT
- -
- autogen
- -
License
- FEDOT
- BSD-3-Clause
- autogen
- CC-BY-4.0
Last pushed
- FEDOT
- Jul 8, 2026
- autogen
- Apr 15, 2026
Categories
- FEDOT
- LLM Frameworks, Data & Retrieval, Computer Vision
- autogen
- LLM Frameworks, AI Agents
Trust and health
Maintenance
- FEDOT
- Very active (96%)
- autogen
- Steady (60%)
Days since push
- FEDOT
- 3d
- autogen
- 87d
Open issues (now)
- FEDOT
- 83
- autogen
- 945
Security scan
- FEDOT
- 27 low (27 low)
- autogen
- No lockfile
Full report
- FEDOT
- Trust report
- autogen
- Trust report
Shared compatibility
- Python · FEDOT: Python runtime · autogen: Python runtime
Choose FEDOT if…
- License: FEDOT is BSD-3-Clause, autogen is CC-BY-4.0.
- Tags unique to FEDOT: automl, evolutionary-algorithms, genetic-programming, machine-learning.
- Also covers Data & Retrieval, Computer Vision.
When NOT to use FEDOT
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Choose autogen if…
- License: autogen is CC-BY-4.0, FEDOT is BSD-3-Clause.
- 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: llm-framework, autogen, agents, ai.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aimclub/FEDOT) · observed Jul 11, 2026
- GitHub forks (aimclub/FEDOT) · observed Jul 11, 2026
- Last push (aimclub/FEDOT) · observed Jul 8, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: FEDOT 709 · autogen 60k (synced Jul 11, 2026).
Common questions
- What is the difference between FEDOT and autogen?
- FEDOT: Automated modeling and machine learning framework FEDOT. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose FEDOT over autogen?
- Choose FEDOT over autogen when License: FEDOT is BSD-3-Clause, autogen is CC-BY-4.0; Tags unique to FEDOT: automl, evolutionary-algorithms, genetic-programming, machine-learning; Also covers Data & Retrieval, Computer Vision.
- When should I choose autogen over FEDOT?
- Choose autogen over FEDOT when License: autogen is CC-BY-4.0, FEDOT is BSD-3-Clause; 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: llm-framework, autogen, agents, ai; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- When should I avoid FEDOT?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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. - Is FEDOT or autogen more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 709). Stars measure visibility, not whether either tool fits your constraints.
- Are FEDOT and autogen open source?
- Yes - both are open-source projects on GitHub (FEDOT: BSD-3-Clause, autogen: CC-BY-4.0).
- Where can I find alternatives to FEDOT or autogen?
- GraphCanon lists graph-backed alternatives at FEDOT alternatives and autogen alternatives (FEDOT markdown twin, autogen 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, FEDOT or autogen?
- FEDOT: Very active. autogen: Steady. 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 FEDOT and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FEDOT trust report; autogen trust report.