Comparison
deepeval vs just-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 just-eval if just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs.
Markdown twin · deepeval alternatives · just-eval alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | deepeval | just-eval |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (953d since push) As of Sep 9, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 9, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- deepeval
- LLM Evaluation Framework.
- just-eval
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
Stars
- deepeval
- 18k
- just-eval
- 90
Forks
- deepeval
- 2.0k
- just-eval
- 7
Open issues
- deepeval
- 624
- just-eval
- 2
Language
- deepeval
- Python
- just-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.
- just-eval
- just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs.
Persona
- deepeval
- -
- just-eval
- -
Runtime
- deepeval
- -
- just-eval
- -
License
- deepeval
- Apache-2.0 License
- just-eval
- MIT
Last pushed
- deepeval
- Sep 18, 2026
- just-eval
- Jan 29, 2024
Categories
- deepeval
- Evaluation & Observability
- just-eval
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- just-eval
- Dormant (18%)
Days since push
- deepeval
- 1d
- just-eval
- 953d
Open issues (now)
- deepeval
- 624
- just-eval
- 2
Stars delta
- deepeval
- +1.1k (30d)
- just-eval
- 0 (30d)
Open issues delta
- deepeval
- +220 (30d)
- just-eval
- 0 (30d)
Full report
- deepeval
- Trust report
- just-eval
- Trust report
Shared compatibility
- Python · deepeval: Python runtime · just-eval: Python runtime
Choose deepeval if…
- License: deepeval is Apache-2.0, just-eval is MIT.
- 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.
Choose just-eval if…
- License: just-eval is MIT, deepeval is Apache-2.0.
- Tags unique to just-eval: gpt4, llm, llm-eval, llm-evaluation-toolkit.
- When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects.
When NOT to use just-eval
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration.
- Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
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 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 (Re-Align/just-eval) · observed Sep 20, 2026
- GitHub forks (Re-Align/just-eval) · observed Sep 20, 2026
- Last push (Re-Align/just-eval) · observed Jan 29, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: deepeval 18k · just-eval 90 (synced Sep 20, 2026).
Common questions
- What is the difference between deepeval and just-eval?
- deepeval: LLM Evaluation Framework.. just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over just-eval?
- Choose deepeval over just-eval when License: deepeval is Apache-2.0, just-eval is MIT; 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 choose just-eval over deepeval?
- Choose just-eval over deepeval when License: just-eval is MIT, deepeval is Apache-2.0; Tags unique to just-eval: gpt4, llm, llm-eval, llm-evaluation-toolkit; When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects.
- 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 just-eval?
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
- Is deepeval or just-eval more popular on GitHub?
- deepeval has more GitHub stars (18,341 vs 90). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and just-eval open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, just-eval: MIT).
- Where can I find alternatives to deepeval or just-eval?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and just-eval alternatives (deepeval markdown twin, just-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 just-eval?
- deepeval: Very active. just-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 just-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; just-eval trust report.