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
Trust & integrity
| Signal | deepeval | human-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 (confident-ai/deepeval) · observed Jul 28, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 28, 2026
- Last push (confident-ai/deepeval) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (openai/human-eval) · observed Aug 5, 2026
- GitHub forks (openai/human-eval) · observed Aug 5, 2026
- Last push (openai/human-eval) · observed Jan 17, 2025
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.