Comparison
CommonGen-Eval vs deepeval
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 deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Markdown twin · CommonGen-Eval alternatives · deepeval alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | CommonGen-Eval | deepeval |
|---|---|---|
| Maintenance | Dormant (901d since push) As of Sep 8, 2026 · github_public_v1 | Very active (1d 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
- deepeval
- LLM Evaluation Framework.
Stars
- CommonGen-Eval
- 95
- deepeval
- 18k
Forks
- CommonGen-Eval
- 3
- deepeval
- 2.0k
Open issues
- CommonGen-Eval
- 1
- deepeval
- 624
Language
- CommonGen-Eval
- Python
- deepeval
- 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.
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Persona
- CommonGen-Eval
- -
- deepeval
- -
Runtime
- CommonGen-Eval
- -
- deepeval
- -
License
- CommonGen-Eval
- Apache-2.0
- deepeval
- Apache-2.0 License
Last pushed
- CommonGen-Eval
- Mar 21, 2024
- deepeval
- Sep 18, 2026
Categories
- CommonGen-Eval
- Evaluation & Observability
- deepeval
- Evaluation & Observability
Trust and health
Maintenance
- CommonGen-Eval
- Dormant (18%)
- deepeval
- Very active (96%)
Days since push
- CommonGen-Eval
- 901d
- deepeval
- 1d
Open issues (now)
- CommonGen-Eval
- 1
- deepeval
- 624
Stars delta
- CommonGen-Eval
- 0 (30d)
- deepeval
- +1.1k (30d)
Open issues delta
- CommonGen-Eval
- 0 (30d)
- deepeval
- +220 (30d)
OSV dependency advisories
- CommonGen-Eval
- Published findings
- deepeval
- No lockfile (source not queried)
Full report
- CommonGen-Eval
- Trust report
- deepeval
- Trust report
Shared compatibility
- Python · CommonGen-Eval: Python runtime · deepeval: Python runtime
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 deepeval if…
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: metrics.
- When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
When NOT to use deepeval
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill.
- In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
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 (confident-ai/deepeval) · observed Sep 20, 2026
- GitHub forks (confident-ai/deepeval) · observed Sep 20, 2026
- Last push (confident-ai/deepeval) · observed Sep 18, 2026
- License file (Apache-2.0) · 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 · deepeval 18k (synced Sep 20, 2026).
Common questions
- What is the difference between CommonGen-Eval and deepeval?
- CommonGen-Eval: Evaluating LLMs with CommonGen-Lite. deepeval: LLM Evaluation Framework.. See the comparison table for live GitHub stats and shared categories.
- When should I choose CommonGen-Eval over deepeval?
- Choose CommonGen-Eval over deepeval 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 deepeval over CommonGen-Eval?
- Choose deepeval over CommonGen-Eval when Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
- 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 deepeval?
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
- Is CommonGen-Eval or deepeval more popular on GitHub?
- deepeval has more GitHub stars (18,341 vs 95). Stars measure visibility, not whether either tool fits your constraints.
- Are CommonGen-Eval and deepeval open source?
- Yes - both are open-source projects on GitHub (CommonGen-Eval: Apache-2.0, deepeval: Apache-2.0).
- Where can I find alternatives to CommonGen-Eval or deepeval?
- GraphCanon lists graph-backed alternatives at CommonGen-Eval alternatives and deepeval alternatives (CommonGen-Eval markdown twin, deepeval 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 deepeval?
- CommonGen-Eval: Dormant. deepeval: Very active. 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 deepeval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CommonGen-Eval trust report; deepeval trust report.