Comparison
awesome-evals vs llm-leaderboard
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick llm-leaderboard if llm-leaderboard provides deprecated benchmark data for large language models alongside service provider pricing information.
Markdown twin · awesome-evals alternatives · llm-leaderboard alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | awesome-evals | llm-leaderboard |
|---|---|---|
| Maintenance | Active (26d since push) As of 4w · github_public_v1 | Slowing (277d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 4w · 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-leaderboard
- Comprehensive LLM benchmark scores and provider prices
Stars
- awesome-evals
- 761
- llm-leaderboard
- 359
Forks
- awesome-evals
- 71
- llm-leaderboard
- 40
Open issues
- awesome-evals
- 21
- llm-leaderboard
- 14
Language
- awesome-evals
- -
- llm-leaderboard
- JavaScript
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- llm-leaderboard
- llm-leaderboard provides deprecated benchmark data for large language models alongside service provider pricing information.
Persona
- awesome-evals
- -
- llm-leaderboard
- -
Runtime
- awesome-evals
- -
- llm-leaderboard
- -
License
- awesome-evals
- Other
- llm-leaderboard
- Other
Last pushed
- awesome-evals
- Jul 1, 2026
- llm-leaderboard
- Oct 24, 2025
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- llm-leaderboard
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- llm-leaderboard
- Slowing (36%)
Days since push
- awesome-evals
- 26d
- llm-leaderboard
- 277d
Open issues (now)
- awesome-evals
- 21
- llm-leaderboard
- 14
Owner type
- awesome-evals
- Organization
- llm-leaderboard
- User
Full report
- awesome-evals
- Trust report
- llm-leaderboard
- 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 llm-leaderboard if…
- Tags unique to llm-leaderboard: llm, llm-agents, llmops, llms-benchmarking.
- Also covers LLM Frameworks.
- When you need to compare historical performance and service costs of different LLMs within the constraints of outdated data.
When NOT to use llm-leaderboard
- If timely or updated benchmarking data is a requirement, as llm-leaderboard's repository has been deprecated.
- For real-time evaluations, as this tool does not provide current or recent performance metrics and pricing details.
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 (JonathanChavezTamales/llm-leaderboard) · observed Jul 28, 2026
- GitHub forks (JonathanChavezTamales/llm-leaderboard) · observed Jul 28, 2026
- Last push (JonathanChavezTamales/llm-leaderboard) · observed Oct 24, 2025
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · llm-leaderboard 359 (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-evals and llm-leaderboard?
- awesome-evals: A curated library of resources for building and evaluating AI agents. llm-leaderboard: Comprehensive LLM benchmark scores and provider prices. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over llm-leaderboard?
- Choose awesome-evals over llm-leaderboard 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 llm-leaderboard over awesome-evals?
- Choose llm-leaderboard over awesome-evals when Tags unique to llm-leaderboard: llm, llm-agents, llmops, llms-benchmarking; Also covers LLM Frameworks; When you need to compare historical performance and service costs of different LLMs within the constraints of outdated data.
- 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-leaderboard?
- If timely or updated benchmarking data is a requirement, as llm-leaderboard's repository has been deprecated. For real-time evaluations, as this tool does not provide current or recent performance metrics and pricing details.
- Is awesome-evals or llm-leaderboard more popular on GitHub?
- awesome-evals has more GitHub stars (761 vs 359). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and llm-leaderboard open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, llm-leaderboard: Other).
- Where can I find alternatives to awesome-evals or llm-leaderboard?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and llm-leaderboard alternatives (awesome-evals markdown twin, llm-leaderboard 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-leaderboard?
- awesome-evals: Active. llm-leaderboard: 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-leaderboard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; llm-leaderboard trust report.