Comparison
langevals vs autogen
Verdict
Pick langevals when tags unique to langevals: evaluation, guardrails, llm, openai; pick autogen when 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..
Markdown twin · langevals alternatives · autogen alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | langevals | autogen |
|---|---|---|
| Maintenance | Slowing (149d 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
- langevals
- LangEvals aggregates various language model evaluators into a single platform, providing a standard interface for a multitude of scores and LLM guardrails, for you to protect and benchmark your LLM mo
- autogen
- A programming framework for agentic AI
Stars
- langevals
- 72
- autogen
- 60k
Forks
- langevals
- 9
- autogen
- 9.0k
Open issues
- langevals
- 18
- autogen
- 945
Language
- langevals
- -
- autogen
- Python
Adopt for
- langevals
- -
- 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
- langevals
- -
- autogen
- -
Runtime
- langevals
- -
- autogen
- -
License
- langevals
- -
- autogen
- CC-BY-4.0
Last pushed
- langevals
- Feb 15, 2026
- autogen
- Apr 15, 2026
Categories
- langevals
- Data & Retrieval, Evaluation & Observability, LLM Frameworks
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- langevals
- Slowing (36%)
- autogen
- Steady (60%)
Days since push
- langevals
- 149d
- autogen
- 87d
Open issues (now)
- langevals
- 18
- autogen
- 945
Full report
- langevals
- Trust report
- autogen
- Trust report
Choose langevals if…
- Tags unique to langevals: evaluation, guardrails, llm, openai.
- Also covers Data & Retrieval, Evaluation & Observability.
- Leaner open-issue backlog (18).
When NOT to use langevals
- Last GitHub push was 149 days ago (slowing maintenance, Feb 15, 2026). Validate activity before betting a new project on langevals.
- 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…
- 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 (langwatch/langevals) · observed Jul 15, 2026
- GitHub forks (langwatch/langevals) · observed Jul 15, 2026
- Last push (langwatch/langevals) · observed Feb 15, 2026
- License file (unknown) · 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: langevals 72 · autogen 60k (synced Jul 15, 2026).
Common questions
- What is the difference between langevals and autogen?
- langevals: LangEvals aggregates various language model evaluators into a single platform, providing a standard interface for a multitude of scores and LLM guardrails, for you to protect and benchmark your LLM mo. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose langevals over autogen?
- Choose langevals over autogen when Tags unique to langevals: evaluation, guardrails, llm, openai; Also covers Data & Retrieval, Evaluation & Observability; Leaner open-issue backlog (18).
- When should I choose autogen over langevals?
- Choose autogen over langevals when 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 langevals?
- Last GitHub push was 149 days ago (slowing maintenance, Feb 15, 2026). Validate activity before betting a new project on langevals. 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 langevals or autogen more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 72). Stars measure visibility, not whether either tool fits your constraints.
- Are langevals and autogen open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to langevals or autogen?
- GraphCanon lists graph-backed alternatives at langevals alternatives and autogen alternatives (langevals 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, langevals or autogen?
- langevals: Slowing. 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 langevals and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langevals trust report; autogen trust report.