Comparison
contextcheck vs autogen
Verdict
Pick contextcheck when license: contextcheck is MIT, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, contextcheck is MIT.
Markdown twin · contextcheck alternatives · autogen alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | contextcheck | autogen |
|---|---|---|
| Maintenance | Dormant (580d since push) As of today · github_public_v1 | Steady (87d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- contextcheck
- MIT-licensed Framework for LLMs, RAGs, Chatbots testing. Configurable via YAML and integrable into CI pipelines for automated testing.
- autogen
- A programming framework for agentic AI
Stars
- contextcheck
- 95
- autogen
- 60k
Forks
- contextcheck
- 11
- autogen
- 9.0k
Open issues
- contextcheck
- 1
- autogen
- 945
Language
- contextcheck
- Python
- autogen
- Python
Adopt for
- contextcheck
- -
- 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
- contextcheck
- -
- autogen
- -
Runtime
- contextcheck
- -
- autogen
- -
License
- contextcheck
- MIT
- autogen
- CC-BY-4.0
Last pushed
- contextcheck
- Dec 11, 2024
- autogen
- Apr 15, 2026
Categories
- contextcheck
- Data & Retrieval, Evaluation & Observability, LLM Frameworks
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- contextcheck
- Dormant (18%)
- autogen
- Steady (60%)
Days since push
- contextcheck
- 580d
- autogen
- 87d
Open issues (now)
- contextcheck
- 1
- autogen
- 945
Full report
- contextcheck
- Trust report
- autogen
- Trust report
Choose contextcheck if…
- License: contextcheck is MIT, autogen is CC-BY-4.0.
- Tags unique to contextcheck: ai-chat, ai-testing, ai-testing-tool, chatbot-framework.
- Also covers Data & Retrieval, Evaluation & Observability.
When NOT to use contextcheck
- Last GitHub push was 581 days ago (dormant maintenance, Dec 11, 2024). Validate activity before betting a new project on contextcheck.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose autogen if…
- License: autogen is CC-BY-4.0, contextcheck 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Addepto/contextcheck) · observed Jul 15, 2026
- GitHub forks (Addepto/contextcheck) · observed Jul 15, 2026
- Last push (Addepto/contextcheck) · observed Dec 11, 2024
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: contextcheck 95 · autogen 60k (synced Jul 15, 2026).
Common questions
- What is the difference between contextcheck and autogen?
- contextcheck: MIT-licensed Framework for LLMs, RAGs, Chatbots testing. Configurable via YAML and integrable into CI pipelines for automated testing.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose contextcheck over autogen?
- Choose contextcheck over autogen when License: contextcheck is MIT, autogen is CC-BY-4.0; Tags unique to contextcheck: ai-chat, ai-testing, ai-testing-tool, chatbot-framework; Also covers Data & Retrieval, Evaluation & Observability.
- When should I choose autogen over contextcheck?
- Choose autogen over contextcheck when License: autogen is CC-BY-4.0, contextcheck 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 avoid contextcheck?
- Last GitHub push was 581 days ago (dormant maintenance, Dec 11, 2024). Validate activity before betting a new project on contextcheck. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 contextcheck or autogen more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 95). Stars measure visibility, not whether either tool fits your constraints.
- Are contextcheck and autogen open source?
- Yes - both are open-source projects on GitHub (contextcheck: MIT, autogen: CC-BY-4.0).
- Where can I find alternatives to contextcheck or autogen?
- GraphCanon lists graph-backed alternatives at contextcheck alternatives and autogen alternatives (contextcheck 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, contextcheck or autogen?
- contextcheck: Dormant. 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 contextcheck and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contextcheck trust report; autogen trust report.