Comparison
athina-evals vs Open-LLM-Leaderboard
Verdict
Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; pick Open-LLM-Leaderboard if open-LLM-Leaderboard evaluates large language models on open-style questions using a GPT-4-based evaluator and aggregates results in an accessible leaderboard format.
Markdown twin · athina-evals alternatives · Open-LLM-Leaderboard alternatives
GraphCanon updated Sep 10, 2026
17views this month
Trust & integrity
| Signal | athina-evals | Open-LLM-Leaderboard |
|---|---|---|
| Maintenance | Dormant (447d since push) As of Aug 28, 2026 · github_public_v1 | Dormant (804d since push) As of Sep 10, 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 10, 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- Open-LLM-Leaderboard
- Tracks LLM performance on open-style questions
Stars
- athina-evals
- 301
- Open-LLM-Leaderboard
- 53
Forks
- athina-evals
- 23
- Open-LLM-Leaderboard
- 7
Open issues
- athina-evals
- 5
- Open-LLM-Leaderboard
- 1
Language
- athina-evals
- Python
- Open-LLM-Leaderboard
- Python
Adopt for
- athina-evals
- athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
- Open-LLM-Leaderboard
- Open-LLM-Leaderboard evaluates large language models on open-style questions using a GPT-4-based evaluator and aggregates results in an accessible leaderboard format.
Persona
- athina-evals
- -
- Open-LLM-Leaderboard
- -
Runtime
- athina-evals
- -
- Open-LLM-Leaderboard
- -
License
- athina-evals
- -
- Open-LLM-Leaderboard
- CC-BY-4.0
Last pushed
- athina-evals
- Jun 6, 2025
- Open-LLM-Leaderboard
- Jun 27, 2024
Categories
- athina-evals
- Evaluation & Observability
- Open-LLM-Leaderboard
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 447d
- Open-LLM-Leaderboard
- 804d
Open issues (now)
- athina-evals
- 5
- Open-LLM-Leaderboard
- 1
Open issues delta
- athina-evals
- +2 (30d)
- Open-LLM-Leaderboard
- 0 (30d)
Full report
- athina-evals
- Trust report
- Open-LLM-Leaderboard
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- More GitHub stars (301 vs 53) - visibility, not fit.
When NOT to use athina-evals
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach
- In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
Choose Open-LLM-Leaderboard if…
- Tags unique to Open-LLM-Leaderboard: leaderboard, model-performance-tracking, open-style-questions.
- You need to evaluate your LLM's performance on open-ended, human-like question formats across multiple datasets without setting up the evaluation process yourself.
- Leaner open-issue backlog (1).
When NOT to use Open-LLM-Leaderboard
- You are seeking evaluations solely based on closed-response or multiple-choice questions where specific answers can be easily verified by non-LLM means.
- Your project has constraints against using commercial LLMs like GPT-4 for evaluation due to cost, licensing issues, or the need for open-source alternatives.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (athina-ai/athina-evals) · observed Aug 28, 2026
- GitHub forks (athina-ai/athina-evals) · observed Aug 28, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Aug 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (VILA-Lab/Open-LLM-Leaderboard) · observed Sep 10, 2026
- GitHub forks (VILA-Lab/Open-LLM-Leaderboard) · observed Sep 10, 2026
- Last push (VILA-Lab/Open-LLM-Leaderboard) · observed Jun 27, 2024
- License file (CC-BY-4.0) · observed Sep 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: athina-evals 301 · Open-LLM-Leaderboard 53 (synced Aug 28, 2026).
Common questions
- What is the difference between athina-evals and Open-LLM-Leaderboard?
- athina-evals: Python SDK for evaluating LLM generated responses. Open-LLM-Leaderboard: Tracks LLM performance on open-style questions. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over Open-LLM-Leaderboard?
- Choose athina-evals over Open-LLM-Leaderboard when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More GitHub stars (301 vs 53) - visibility, not fit.
- When should I choose Open-LLM-Leaderboard over athina-evals?
- Choose Open-LLM-Leaderboard over athina-evals when Tags unique to Open-LLM-Leaderboard: leaderboard, model-performance-tracking, open-style-questions; You need to evaluate your LLM's performance on open-ended, human-like question formats across multiple datasets without setting up the evaluation process yourself; Leaner open-issue backlog (1).
- When should I avoid athina-evals?
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
- When should I avoid Open-LLM-Leaderboard?
- You are seeking evaluations solely based on closed-response or multiple-choice questions where specific answers can be easily verified by non-LLM means. Your project has constraints against using commercial LLMs like GPT-4 for evaluation due to cost, licensing issues, or the need for open-source alternatives.
- Is athina-evals or Open-LLM-Leaderboard more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 53). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and Open-LLM-Leaderboard open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or Open-LLM-Leaderboard?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and Open-LLM-Leaderboard alternatives (athina-evals markdown twin, Open-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, athina-evals or Open-LLM-Leaderboard?
- athina-evals: Dormant. Open-LLM-Leaderboard: 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 athina-evals and Open-LLM-Leaderboard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; Open-LLM-Leaderboard trust report.