Comparison
awesome-evals vs HLCE
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick HLCE if hLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.
Markdown twin · awesome-evals alternatives · HLCE alternatives
GraphCanon updated Sep 8, 2026
15views this month
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Trust & integrity
| Signal | awesome-evals | HLCE |
|---|---|---|
| Maintenance | Active (7d since push) As of Aug 28, 2026 · github_public_v1 | Dormant (383d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 28, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings 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
- HLCE
- Source Evaluation scripts for Humanity's Last Code Exam
Stars
- awesome-evals
- 847
- HLCE
- 96
Forks
- awesome-evals
- 89
- HLCE
- 8
Open issues
- awesome-evals
- 17
- HLCE
- 1
Language
- awesome-evals
- -
- HLCE
- Python
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- HLCE
- HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.
Persona
- awesome-evals
- -
- HLCE
- -
Runtime
- awesome-evals
- -
- HLCE
- -
License
- awesome-evals
- Other
- HLCE
- -
Last pushed
- awesome-evals
- Aug 20, 2026
- HLCE
- Aug 21, 2025
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- HLCE
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- HLCE
- Dormant (18%)
Days since push
- awesome-evals
- 7d
- HLCE
- 383d
Open issues (now)
- awesome-evals
- 17
- HLCE
- 1
Stars delta
- awesome-evals
- +86 (30d)
- HLCE
- 0 (30d)
Open issues delta
- awesome-evals
- -4 (30d)
- HLCE
- 0 (30d)
OSV dependency advisories
- awesome-evals
- No lockfile (source not queried)
- HLCE
- Published findings
Full report
- awesome-evals
- Trust report
- HLCE
- 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 HLCE if…
- Tags unique to HLCE: benchmark, codegen, codellm.
- Also covers LLM Frameworks.
- When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively.
When NOT to use HLCE
- If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context.
- When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only.
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 Aug 28, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Aug 28, 2026
- Last push (benchflow-ai/awesome-evals) · observed Aug 20, 2026
- License file (Other) · observed Aug 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Humanity-s-Last-Code-Exam/HLCE) · observed Sep 8, 2026
- GitHub forks (Humanity-s-Last-Code-Exam/HLCE) · observed Sep 8, 2026
- Last push (Humanity-s-Last-Code-Exam/HLCE) · observed Aug 21, 2025
- License file (unknown) · observed Sep 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-evals 847 · HLCE 96 (synced Aug 28, 2026).
Common questions
- What is the difference between awesome-evals and HLCE?
- awesome-evals: A curated library of resources for building and evaluating AI agents. HLCE: Source Evaluation scripts for Humanity's Last Code Exam. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over HLCE?
- Choose awesome-evals over HLCE 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 HLCE over awesome-evals?
- Choose HLCE over awesome-evals when Tags unique to HLCE: benchmark, codegen, codellm; Also covers LLM Frameworks; When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively.
- 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 HLCE?
- If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context. When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only.
- Is awesome-evals or HLCE more popular on GitHub?
- awesome-evals has more GitHub stars (847 vs 96). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and HLCE open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-evals or HLCE?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and HLCE alternatives (awesome-evals markdown twin, HLCE 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 HLCE?
- awesome-evals: Active. HLCE: Dormant. 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 HLCE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; HLCE trust report.