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Comparison

langfair vs OpenHands

Verdict

Pick langfair when tags unique to langfair: ai, ai-safety, bias, bias-detection; pick OpenHands when tags unique to OpenHands: agent, chatgpt, claude-ai, cli.

Markdown twin · langfair alternatives · OpenHands alternatives

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langfair logo

langfair

cvs-health/langfair

★ 260pushed Jun 29, 2026
vs
OpenHands logo

OpenHands

OpenHands/OpenHands

★ 80kpushed Jul 11, 2026

Trust & integrity

SignallangfairOpenHands
Maintenance
Active (11d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none
langfair trust reportOpenHands trust reportTrust methodology

Tagline

langfair
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
OpenHands
AI-Driven Development

Stars

langfair
260
OpenHands
80k

Forks

langfair
46
OpenHands
10k

Open issues

langfair
23
OpenHands
359

Language

langfair
Python
OpenHands
Python

Adopt for

langfair
-
OpenHands
OpenHands is an AI-driven development tool that integrates with multiple AI models like ChatGPT and Claude-AI to offer intelligent support for coding tasks in Python.

Persona

langfair
-
OpenHands
-

Runtime

langfair
-
OpenHands
-

License

langfair
Other
OpenHands
Other

Last pushed

langfair
Jun 29, 2026
OpenHands
Jul 11, 2026

Categories

langfair
Computer Vision, Developer Tools, LLM Frameworks
OpenHands
Developer Tools, LLM Frameworks

Trust and health

Maintenance

langfair
Active (82%)
OpenHands
Very active (96%)

Days since push

langfair
11d
OpenHands
0d

Open issues (now)

langfair
23
OpenHands
359

Full report

langfair
Trust report
OpenHands
Trust report

Choose langfair if…

  • Tags unique to langfair: ai, ai-safety, bias, bias-detection.
  • Also covers Computer Vision.
  • Leaner open-issue backlog (23).

When NOT to use langfair

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose OpenHands if…

  • Tags unique to OpenHands: agent, chatgpt, claude-ai, cli.
  • - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI.
  • More GitHub stars (80k vs 260) - visibility, not fit.

When NOT to use OpenHands

  • - If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically.
  • - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI.
GitHubDetails

Explore

langfair trust report →OpenHands trust report →Computer Vision category →Developer Tools category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langfair 260 · OpenHands 80k (synced Jul 11, 2026).

Common questions

What is the difference between langfair and OpenHands?
langfair: LangFair is a Python library for conducting use-case level LLM bias and fairness assessments. OpenHands: AI-Driven Development. See the comparison table for live GitHub stats and shared categories.
When should I choose langfair over OpenHands?
Choose langfair over OpenHands when Tags unique to langfair: ai, ai-safety, bias, bias-detection; Also covers Computer Vision; Leaner open-issue backlog (23).
When should I choose OpenHands over langfair?
Choose OpenHands over langfair when Tags unique to OpenHands: agent, chatgpt, claude-ai, cli; - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI; More GitHub stars (80k vs 260) - visibility, not fit.
When should I avoid langfair?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid OpenHands?
- If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically. - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI.
Is langfair or OpenHands more popular on GitHub?
OpenHands has more GitHub stars (80,430 vs 260). Stars measure visibility, not whether either tool fits your constraints.
Are langfair and OpenHands open source?
Yes - both are open-source projects on GitHub (langfair: Other, OpenHands: Other).
Where can I find alternatives to langfair or OpenHands?
GraphCanon lists graph-backed alternatives at langfair alternatives and OpenHands alternatives (langfair markdown twin, OpenHands 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, langfair or OpenHands?
langfair: Active. OpenHands: Very active. 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 langfair and OpenHands?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langfair trust report; OpenHands trust report.