Comparison
awesome-evals vs LLM-Agent-Paper-List
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick LLM-Agent-Paper-List if lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training.
Markdown twin · awesome-evals alternatives · LLM-Agent-Paper-List alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | awesome-evals | LLM-Agent-Paper-List |
|---|---|---|
| Maintenance | Active (26d since push) As of 3w · github_public_v1 | Slowing (339d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- LLM-Agent-Paper-List
- Must-read papers for LLM-based agents.
Stars
- awesome-evals
- 761
- LLM-Agent-Paper-List
- 8.2k
Forks
- awesome-evals
- 71
- LLM-Agent-Paper-List
- 495
Open issues
- awesome-evals
- 21
- LLM-Agent-Paper-List
- 31
Language
- awesome-evals
- -
- LLM-Agent-Paper-List
- -
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- LLM-Agent-Paper-List
- Lists essential papers on LLM-based agents with integrated tools like AgentGym for RL training.
Persona
- awesome-evals
- -
- LLM-Agent-Paper-List
- -
Runtime
- awesome-evals
- -
- LLM-Agent-Paper-List
- -
License
- awesome-evals
- Other
- LLM-Agent-Paper-List
- -
Last pushed
- awesome-evals
- Jul 1, 2026
- LLM-Agent-Paper-List
- Sep 12, 2025
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- LLM-Agent-Paper-List
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- LLM-Agent-Paper-List
- Slowing (36%)
Days since push
- awesome-evals
- 26d
- LLM-Agent-Paper-List
- 339d
Open issues (now)
- awesome-evals
- 21
- LLM-Agent-Paper-List
- 31
Stars delta
- awesome-evals
- Unknown
- LLM-Agent-Paper-List
- +4 (30d)
Open issues delta
- awesome-evals
- Unknown
- LLM-Agent-Paper-List
- +2 (30d)
Owner type
- awesome-evals
- Organization
- LLM-Agent-Paper-List
- User
Full report
- awesome-evals
- Trust report
- LLM-Agent-Paper-List
- Trust report
Choose awesome-evals if…
- Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation
- More recently updated (last pushed Jul 1, 2026).
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 LLM-Agent-Paper-List if…
- Tags unique to LLM-Agent-Paper-List: agent, large language models, llm, nlp.
- Looking to survey key advancements in LLM-based agent research, specifically through papers endorsed by authors.
- More GitHub stars (8.2k vs 761) - visibility, not fit.
When NOT to use LLM-Agent-Paper-List
- Seeking real-time interactive debugging tools; focuses more on paper reviews and general frameworks than coding sandbox features.
- Require support documentation in languages other than English or project-specific code details, as licensing and detailed documentation are currently unverified.
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 Jul 28, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- Last push (benchflow-ai/awesome-evals) · observed Jul 1, 2026
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WooooDyy/LLM-Agent-Paper-List) · observed Aug 17, 2026
- GitHub forks (WooooDyy/LLM-Agent-Paper-List) · observed Aug 17, 2026
- Last push (WooooDyy/LLM-Agent-Paper-List) · observed Sep 12, 2025
- License file (unknown) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · LLM-Agent-Paper-List 8.2k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-evals and LLM-Agent-Paper-List?
- awesome-evals: A curated library of resources for building and evaluating AI agents. LLM-Agent-Paper-List: Must-read papers for LLM-based agents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over LLM-Agent-Paper-List?
- Choose awesome-evals over LLM-Agent-Paper-List when Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation; More recently updated (last pushed Jul 1, 2026).
- When should I choose LLM-Agent-Paper-List over awesome-evals?
- Choose LLM-Agent-Paper-List over awesome-evals when Tags unique to LLM-Agent-Paper-List: agent, large language models, llm, nlp; Looking to survey key advancements in LLM-based agent research, specifically through papers endorsed by authors; More GitHub stars (8.2k vs 761) - visibility, not fit.
- 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 LLM-Agent-Paper-List?
- Seeking real-time interactive debugging tools; focuses more on paper reviews and general frameworks than coding sandbox features. Require support documentation in languages other than English or project-specific code details, as licensing and detailed documentation are currently unverified.
- Is awesome-evals or LLM-Agent-Paper-List more popular on GitHub?
- LLM-Agent-Paper-List has more GitHub stars (8,172 vs 761). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and LLM-Agent-Paper-List open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-evals or LLM-Agent-Paper-List?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and LLM-Agent-Paper-List alternatives (awesome-evals markdown twin, LLM-Agent-Paper-List 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 LLM-Agent-Paper-List?
- awesome-evals: Active. LLM-Agent-Paper-List: Slowing. 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 LLM-Agent-Paper-List?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; LLM-Agent-Paper-List trust report.