Comparison
deepeval vs instruct-eval
Verdict
Pick deepeval when tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; pick instruct-eval when tags unique to instruct-eval: evaluation, safety-evaluation, performance-assessment, llm.
Markdown twin · deepeval alternatives · instruct-eval alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | deepeval | instruct-eval |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (853d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 83 low (83 low) As of today · osv@v1 |
Tagline
- deepeval
- The LLM Evaluation Framework
- instruct-eval
- Code for evaluating instruction-tuned language models like Alpaca and Flan-T5
Stars
- deepeval
- 17k
- instruct-eval
- 552
Forks
- deepeval
- 1.6k
- instruct-eval
- 45
Open issues
- deepeval
- 334
- instruct-eval
- 24
Language
- deepeval
- Python
- instruct-eval
- Python
Adopt for
- deepeval
- -
- instruct-eval
- -
Persona
- deepeval
- -
- instruct-eval
- -
Runtime
- deepeval
- -
- instruct-eval
- -
License
- deepeval
- Apache-2.0
- instruct-eval
- Apache-2.0
Last pushed
- deepeval
- Jul 10, 2026
- instruct-eval
- Mar 10, 2024
Categories
- deepeval
- LLM Frameworks, Evaluation & Observability
- instruct-eval
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- instruct-eval
- Dormant (18%)
Days since push
- deepeval
- 0d
- instruct-eval
- 853d
Open issues (now)
- deepeval
- 334
- instruct-eval
- 24
Security scan
- deepeval
- No lockfile
- instruct-eval
- 83 low (83 low)
Full report
- deepeval
- Trust report
- instruct-eval
- Trust report
Choose deepeval if…
- Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics.
- Also covers LLM Frameworks.
- More GitHub stars (17k vs 552) - visibility, not fit.
When NOT to use deepeval
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose instruct-eval if…
- Tags unique to instruct-eval: evaluation, safety-evaluation, performance-assessment, llm.
- Leaner open-issue backlog (24).
When NOT to use instruct-eval
- Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 11, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 11, 2026
- Last push (confident-ai/deepeval) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (declare-lab/instruct-eval) · observed Jul 11, 2026
- GitHub forks (declare-lab/instruct-eval) · observed Jul 11, 2026
- Last push (declare-lab/instruct-eval) · observed Mar 10, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deepeval 17k · instruct-eval 552 (synced Jul 11, 2026).
Common questions
- What is the difference between deepeval and instruct-eval?
- deepeval: The LLM Evaluation Framework. instruct-eval: Code for evaluating instruction-tuned language models like Alpaca and Flan-T5. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over instruct-eval?
- Choose deepeval over instruct-eval when Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; Also covers LLM Frameworks; More GitHub stars (17k vs 552) - visibility, not fit.
- When should I choose instruct-eval over deepeval?
- Choose instruct-eval over deepeval when Tags unique to instruct-eval: evaluation, safety-evaluation, performance-assessment, llm; Leaner open-issue backlog (24).
- When should I avoid deepeval?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid instruct-eval?
- Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is deepeval or instruct-eval more popular on GitHub?
- deepeval has more GitHub stars (16,767 vs 552). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and instruct-eval open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, instruct-eval: Apache-2.0).
- Where can I find alternatives to deepeval or instruct-eval?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and instruct-eval alternatives (deepeval markdown twin, instruct-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 instruct-eval?
- deepeval: Very active. instruct-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 instruct-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; instruct-eval trust report.