Comparison
awesome-evals vs langevals
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick langevals if langEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease.
Markdown twin · awesome-evals alternatives · langevals alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | awesome-evals | langevals |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Archived (209d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- awesome-evals
- A curated library of resources for building and evaluating AI agents
- langevals
- Provides a platform for evaluating and benchmarking LLM models using various evaluators
Stars
- awesome-evals
- 900
- langevals
- 72
Forks
- awesome-evals
- 104
- langevals
- 10
Open issues
- awesome-evals
- 34
- langevals
- 0
Language
- awesome-evals
- -
- langevals
- -
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- langevals
- LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease.
Persona
- awesome-evals
- -
- langevals
- -
Runtime
- awesome-evals
- -
- langevals
- -
License
- awesome-evals
- Other
- langevals
- -
Last pushed
- awesome-evals
- Sep 15, 2026
- langevals
- Feb 15, 2026
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- langevals
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Very active (96%)
- langevals
- Archived (8%)
Days since push
- awesome-evals
- 4d
- langevals
- 209d
Archived on GitHub
- awesome-evals
- No
- langevals
- Yes
Open issues (now)
- awesome-evals
- 34
- langevals
- 0
Stars delta
- awesome-evals
- +139 (30d)
- langevals
- 0 (30d)
Open issues delta
- awesome-evals
- +13 (30d)
- langevals
- -18 (30d)
Full report
- awesome-evals
- Trust report
- langevals
- Trust report
Choose awesome-evals if…
- Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
- Also covers AI Agents.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation
When NOT to use awesome-evals
- Require real-time interactive support or direct tool integrations not covered by a static resource list
- Seeking proprietary tools from specific vendors rather than open resources and community content
Choose langevals if…
- Tags unique to langevals: evaluation, guardrails, llm, openai.
- When you need a singular point of access to multiple LLM evaluation tools
- Leaner open-issue backlog (0).
When NOT to use langevals
- If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option
- When needing to customize evaluation processes extensively beyond what the provided standard interface allows
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (benchflow-ai/awesome-evals) · observed Sep 20, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Sep 20, 2026
- Last push (benchflow-ai/awesome-evals) · observed Sep 15, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langwatch/langevals) · observed Sep 20, 2026
- GitHub forks (langwatch/langevals) · observed Sep 20, 2026
- Last push (langwatch/langevals) · observed Feb 15, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-evals 900 · langevals 72 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-evals and langevals?
- awesome-evals: A curated library of resources for building and evaluating AI agents. langevals: Provides a platform for evaluating and benchmarking LLM models using various evaluators. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over langevals?
- Choose awesome-evals over langevals when Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
- When should I choose langevals over awesome-evals?
- Choose langevals over awesome-evals when Tags unique to langevals: evaluation, guardrails, llm, openai; When you need a singular point of access to multiple LLM evaluation tools; Leaner open-issue backlog (0).
- When should I avoid awesome-evals?
- Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
- When should I avoid langevals?
- If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option When needing to customize evaluation processes extensively beyond what the provided standard interface allows
- Is awesome-evals or langevals more popular on GitHub?
- awesome-evals has more GitHub stars (900 vs 72). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and langevals open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-evals or langevals?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and langevals alternatives (awesome-evals markdown twin, langevals 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, awesome-evals or langevals?
- awesome-evals: Very active. langevals: Archived. 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 awesome-evals and langevals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; langevals trust report.