Comparison
CommonGen-Eval vs athina-evals
Verdict
Pick CommonGen-Eval if commonGen-Eval is designed to evaluate large language models using the CommonGen-Lite dataset, focusing on generating diverse phrases and sentences; 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.
Markdown twin · CommonGen-Eval alternatives · athina-evals alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | CommonGen-Eval | athina-evals |
|---|---|---|
| Maintenance | Dormant (901d since push) As of Sep 8, 2026 · github_public_v1 | Dormant (470d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- CommonGen-Eval
- Evaluating LLMs with CommonGen-Lite
- athina-evals
- Python SDK for evaluating LLM generated responses
Stars
- CommonGen-Eval
- 95
- athina-evals
- 301
Forks
- CommonGen-Eval
- 3
- athina-evals
- 22
Open issues
- CommonGen-Eval
- 1
- athina-evals
- 4
Language
- CommonGen-Eval
- Python
- athina-evals
- Python
Adopt for
- CommonGen-Eval
- CommonGen-Eval is designed to evaluate large language models using the CommonGen-Lite dataset, focusing on generating diverse phrases and sentences.
- athina-evals
- athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
Persona
- CommonGen-Eval
- -
- athina-evals
- -
Runtime
- CommonGen-Eval
- -
- athina-evals
- -
License
- CommonGen-Eval
- Apache-2.0
- athina-evals
- -
Last pushed
- CommonGen-Eval
- Mar 21, 2024
- athina-evals
- Jun 6, 2025
Categories
- CommonGen-Eval
- Evaluation & Observability
- athina-evals
- Evaluation & Observability
Trust and health
Days since push
- CommonGen-Eval
- 901d
- athina-evals
- 470d
Open issues (now)
- CommonGen-Eval
- 1
- athina-evals
- 4
Open issues delta
- CommonGen-Eval
- 0 (30d)
- athina-evals
- +1 (30d)
OSV dependency advisories
- CommonGen-Eval
- Published findings
- athina-evals
- No lockfile (source not queried)
Full report
- CommonGen-Eval
- Trust report
- athina-evals
- Trust report
Choose CommonGen-Eval if…
- Requirements: Install Python dependencies using `pip install -r requirements.txt`; Download necessary Spacy models with `python -m spacy download en_core_web_lg`.
- Use CommonGen-Eval when you need to assess how well an LLM can generate a diverse set of common-sense facts or statements based on given concepts.
- Leaner open-issue backlog (1).
When NOT to use CommonGen-Eval
- Avoid using CommonGen-Eval if your evaluation priorities align more closely with task-specific benchmarks outside of general-language diversification.
- Do not use this tool if your project requires an evaluation framework that focuses heavily on the ability to answer specific factual questions or handle domain-specific language.
Choose athina-evals if…
- Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation-toolkit.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- More GitHub stars (301 vs 95) - 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (allenai/CommonGen-Eval) · observed Sep 20, 2026
- GitHub forks (allenai/CommonGen-Eval) · observed Sep 20, 2026
- Last push (allenai/CommonGen-Eval) · observed Mar 21, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (athina-ai/athina-evals) · observed Sep 20, 2026
- GitHub forks (athina-ai/athina-evals) · observed Sep 20, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CommonGen-Eval 95 · athina-evals 301 (synced Sep 20, 2026).
Common questions
- What is the difference between CommonGen-Eval and athina-evals?
- CommonGen-Eval: Evaluating LLMs with CommonGen-Lite. athina-evals: Python SDK for evaluating LLM generated responses. See the comparison table for live GitHub stats and shared categories.
- When should I choose CommonGen-Eval over athina-evals?
- Choose CommonGen-Eval over athina-evals when Requirements: Install Python dependencies using
pip install -r requirements.txt; Download necessary Spacy models withpython -m spacy download en_core_web_lg; Use CommonGen-Eval when you need to assess how well an LLM can generate a diverse set of common-sense facts or statements based on given concepts; Leaner open-issue backlog (1). - When should I choose athina-evals over CommonGen-Eval?
- Choose athina-evals over CommonGen-Eval when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation-toolkit; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More GitHub stars (301 vs 95) - visibility, not fit.
- When should I avoid CommonGen-Eval?
- Avoid using CommonGen-Eval if your evaluation priorities align more closely with task-specific benchmarks outside of general-language diversification. Do not use this tool if your project requires an evaluation framework that focuses heavily on the ability to answer specific factual questions or handle domain-specific language.
- 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
- Is CommonGen-Eval or athina-evals more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 95). Stars measure visibility, not whether either tool fits your constraints.
- Are CommonGen-Eval and athina-evals open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to CommonGen-Eval or athina-evals?
- GraphCanon lists graph-backed alternatives at CommonGen-Eval alternatives and athina-evals alternatives (CommonGen-Eval markdown twin, athina-evals 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, CommonGen-Eval or athina-evals?
- CommonGen-Eval: Dormant. athina-evals: 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 CommonGen-Eval and athina-evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CommonGen-Eval trust report; athina-evals trust report.