Home/Compare/deepeval vs human-eval

Comparison

deepeval vs human-eval

Verdict

Pick deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies; 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 · deepeval alternatives · human-eval alternatives

GraphCanon updated 2w

deepeval logo

deepeval

confident-ai/deepeval

17kpushed Jul 27, 2026
vs
human-eval logo

human-eval

openai/human-eval

3.3kpushed Jan 17, 2025

Trust & integrity

Signaldeepevalhuman-eval
Maintenance
Very active (1d since push)
As of 3w · github_public_v1
Dormant (564d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

Tagline

deepeval
LLM Evaluation Framework.
human-eval
Evaluating Large Language Models Trained on Code

Stars

deepeval
17k
human-eval
3.3k

Forks

deepeval
1.7k
human-eval
452

Open issues

deepeval
404
human-eval
44

Language

deepeval
Python
human-eval
Python

Adopt for

deepeval
Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
human-eval
human-eval is a tool designed for evaluating large language models trained specifically on code through human-written tests.

Persona

deepeval
-
human-eval
-

Runtime

deepeval
-
human-eval
-

License

deepeval
Apache-2.0 License
human-eval
MIT

Last pushed

deepeval
Jul 27, 2026
human-eval
Jan 17, 2025

Categories

deepeval
Evaluation & Observability
human-eval
Evaluation & Observability

Trust and health

Maintenance

deepeval
Very active (96%)
human-eval
Dormant (18%)

Days since push

deepeval
1d
human-eval
564d

Open issues (now)

deepeval
404
human-eval
44

OSV dependency advisories

deepeval
No lockfile (source not queried)
human-eval
No published findings from this source as of 2026-07-11

Full report

deepeval
Trust report
human-eval
Trust report

Shared compatibility

  • Python · deepeval: Python runtime · human-eval: Python runtime

Choose deepeval if…

  • License: deepeval is Apache-2.0, human-eval is MIT.
  • Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
  • Tags unique to deepeval: evaluation, llm-evaluation, 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.

Choose human-eval if…

  • License: human-eval is MIT, deepeval 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.

Explore

Sources

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

GitHub stars on cards: deepeval 17k · human-eval 3.3k (synced Jul 28, 2026).

Common questions

What is the difference between deepeval and human-eval?
deepeval: LLM Evaluation Framework.. human-eval: Evaluating Large Language Models Trained on Code. See the comparison table for live GitHub stats and shared categories.
When should I choose deepeval over human-eval?
Choose deepeval over human-eval when License: deepeval is Apache-2.0, human-eval is MIT; Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: evaluation, llm-evaluation, metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
When should I choose human-eval over deepeval?
Choose human-eval over deepeval when License: human-eval is MIT, deepeval 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 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.
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 deepeval or human-eval more popular on GitHub?
deepeval has more GitHub stars (17,226 vs 3,331). Stars measure visibility, not whether either tool fits your constraints.
Are deepeval and human-eval open source?
Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, human-eval: MIT).
Where can I find alternatives to deepeval or human-eval?
GraphCanon lists graph-backed alternatives at deepeval alternatives and human-eval alternatives (deepeval 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, deepeval or human-eval?
deepeval: Very active. 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 deepeval and human-eval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; human-eval trust report.

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