Comparison
deepeval vs LiveCodeBench
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 LiveCodeBench if liveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair.
Markdown twin · deepeval alternatives · LiveCodeBench alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | deepeval | LiveCodeBench |
|---|---|---|
| Maintenance | Very active (1d since push) As of 4w · github_public_v1 | Dormant (385d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · 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 lockfile (source not queried) 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.
- LiveCodeBench
- Holistic and contamination-free evaluation of large language models for code
Stars
- deepeval
- 17k
- LiveCodeBench
- 925
Forks
- deepeval
- 1.7k
- LiveCodeBench
- 195
Open issues
- deepeval
- 404
- LiveCodeBench
- 38
Language
- deepeval
- Python
- LiveCodeBench
- Python
Adopt for
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
- LiveCodeBench
- LiveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair.
Persona
- deepeval
- -
- LiveCodeBench
- -
Runtime
- deepeval
- -
- LiveCodeBench
- -
License
- deepeval
- Apache-2.0 License
- LiveCodeBench
- MIT
Last pushed
- deepeval
- Jul 27, 2026
- LiveCodeBench
- Jul 16, 2025
Categories
- deepeval
- Evaluation & Observability
- LiveCodeBench
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- LiveCodeBench
- Dormant (18%)
Days since push
- deepeval
- 1d
- LiveCodeBench
- 385d
Open issues (now)
- deepeval
- 404
- LiveCodeBench
- 38
Full report
- deepeval
- Trust report
- LiveCodeBench
- Trust report
Shared compatibility
- Python · deepeval: Python runtime · LiveCodeBench: Python runtime
Choose deepeval if…
- License: deepeval is Apache-2.0, LiveCodeBench 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 LiveCodeBench if…
- License: LiveCodeBench is MIT, deepeval is Apache-2.0.
- Tags unique to LiveCodeBench: code generation, code-execution, code-repair, gpt-4.
- When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage.
When NOT to use LiveCodeBench
- For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice.
- If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench.
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 (LiveCodeBench/LiveCodeBench) · observed Aug 5, 2026
- GitHub forks (LiveCodeBench/LiveCodeBench) · observed Aug 5, 2026
- Last push (LiveCodeBench/LiveCodeBench) · observed Jul 16, 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 · LiveCodeBench 925 (synced Jul 28, 2026).
Common questions
- What is the difference between deepeval and LiveCodeBench?
- deepeval: LLM Evaluation Framework.. LiveCodeBench: Holistic and contamination-free evaluation of large language models for code. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over LiveCodeBench?
- Choose deepeval over LiveCodeBench when License: deepeval is Apache-2.0, LiveCodeBench 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 LiveCodeBench over deepeval?
- Choose LiveCodeBench over deepeval when License: LiveCodeBench is MIT, deepeval is Apache-2.0; Tags unique to LiveCodeBench: code generation, code-execution, code-repair, gpt-4; When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage.
- 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 LiveCodeBench?
- For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice. If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench.
- Is deepeval or LiveCodeBench more popular on GitHub?
- deepeval has more GitHub stars (17,226 vs 925). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and LiveCodeBench open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, LiveCodeBench: MIT).
- Where can I find alternatives to deepeval or LiveCodeBench?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and LiveCodeBench alternatives (deepeval markdown twin, LiveCodeBench 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 LiveCodeBench?
- deepeval: Very active. LiveCodeBench: 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 LiveCodeBench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; LiveCodeBench trust report.