GraphCanon
Home/Compare/CommonGen-Eval vs human-eval

Comparison

CommonGen-Eval vs human-eval

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 human-eval if human-eval is a tool designed for evaluating large language models trained specifically on code through human-written tests.

Markdown twin · CommonGen-Eval alternatives · human-eval alternatives

GraphCanon updated 2w

CommonGen-Eval logo

CommonGen-Eval

allenai/CommonGen-Eval

★ 95pushed Mar 21, 2024
vs
human-eval logo

human-eval

openai/human-eval

★ 3.3kpushed Jan 17, 2025

Trust & integrity

SignalCommonGen-Evalhuman-eval
Maintenance
Dormant (870d since push)
As of 2w · github_public_v1
Dormant (564d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
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
CommonGen-Eval trust reporthuman-eval trust reportTrust methodology

Tagline

CommonGen-Eval
Evaluating LLMs with CommonGen-Lite
human-eval
Evaluating Large Language Models Trained on Code

Stars

CommonGen-Eval
95
human-eval
3.3k

Forks

CommonGen-Eval
3
human-eval
452

Open issues

CommonGen-Eval
1
human-eval
44

Language

CommonGen-Eval
Python
human-eval
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.
human-eval
human-eval is a tool designed for evaluating large language models trained specifically on code through human-written tests.

Persona

CommonGen-Eval
-
human-eval
-

Runtime

CommonGen-Eval
-
human-eval
-

License

CommonGen-Eval
Apache-2.0
human-eval
MIT

Last pushed

CommonGen-Eval
Mar 21, 2024
human-eval
Jan 17, 2025

Categories

CommonGen-Eval
Evaluation & Observability
human-eval
Evaluation & Observability

Trust and health

Days since push

CommonGen-Eval
870d
human-eval
564d

Open issues (now)

CommonGen-Eval
1
human-eval
44

OSV dependency advisories

CommonGen-Eval
Published findings
human-eval
No published findings from this source as of 2026-07-11

Full report

CommonGen-Eval
Trust report
human-eval
Trust report

Shared compatibility

  • Python · CommonGen-Eval: Python runtime · human-eval: Python runtime

Choose CommonGen-Eval if…

  • License: CommonGen-Eval is Apache-2.0, human-eval is MIT.
  • Requirements: Install Python dependencies using `pip install -r requirements.txt`; Download necessary Spacy models with `python -m spacy download en_core_web_lg`.
  • Tags unique to CommonGen-Eval: evaluation, llm-evaluation.
  • 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.

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.
GitHubDetails

Choose human-eval if…

  • License: human-eval is MIT, CommonGen-Eval is Apache-2.0.
  • This evaluation framework must be installed and set up in your own environment, ensuring full control over the testing process.
  • Pricing: The software is available under an MIT license for free use, yet advanced features or services beyond its core functionality might incur costs..
  • Tags unique to human-eval: code evaluation, large language models, python.
  • When you need to evaluate the performance of AI systems that have been trained exclusively on code datasets, as it allows testing via human-created benchmarks relevant only to code-based models.

When NOT to use human-eval

  • If you are interested in evaluating general natural language processing tasks without coding context, as human-eval is tailored specifically for assessing code-focused AI systems.
  • When the required Python version is below 3.7; this tool mandates at least Python 3.7 to ensure compatibility with its dependencies.
GitHubDetails

Explore

CommonGen-Eval trust report →human-eval trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: CommonGen-Eval 95 · human-eval 3.3k (synced Aug 8, 2026).

Common questions

What is the difference between CommonGen-Eval and human-eval?
CommonGen-Eval: Evaluating LLMs with CommonGen-Lite. human-eval: Evaluating Large Language Models Trained on Code. See the comparison table for live GitHub stats and shared categories.
When should I choose CommonGen-Eval over human-eval?
Choose CommonGen-Eval over human-eval when License: CommonGen-Eval is Apache-2.0, human-eval is MIT; Requirements: Install Python dependencies using pip install -r requirements.txt; Download necessary Spacy models with python -m spacy download en_core_web_lg; Tags unique to CommonGen-Eval: evaluation, llm-evaluation; 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.
When should I choose human-eval over CommonGen-Eval?
Choose human-eval over CommonGen-Eval when License: human-eval is MIT, CommonGen-Eval is Apache-2.0; This evaluation framework must be installed and set up in your own environment, ensuring full control over the testing process; Pricing: The software is available under an MIT license for free use, yet advanced features or services beyond its core functionality might incur costs.; Tags unique to human-eval: code evaluation, large language models, python; When you need to evaluate the performance of AI systems that have been trained exclusively on code datasets, as it allows testing via human-created benchmarks relevant only to code-based models.
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 human-eval?
If you are interested in evaluating general natural language processing tasks without coding context, as human-eval is tailored specifically for assessing code-focused AI systems. When the required Python version is below 3.7; this tool mandates at least Python 3.7 to ensure compatibility with its dependencies.
Is CommonGen-Eval or human-eval more popular on GitHub?
human-eval has more GitHub stars (3,331 vs 95). Stars measure visibility, not whether either tool fits your constraints.
Are CommonGen-Eval and human-eval open source?
Yes - both are open-source projects on GitHub (CommonGen-Eval: Apache-2.0, human-eval: MIT).
Where can I find alternatives to CommonGen-Eval or human-eval?
GraphCanon lists graph-backed alternatives at CommonGen-Eval alternatives and human-eval alternatives (CommonGen-Eval markdown twin, human-eval 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 human-eval?
CommonGen-Eval: Dormant. human-eval: 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 human-eval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CommonGen-Eval trust report; human-eval trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.