Comparison
deepeval vs awesome-tensor-compilers
Verdict
Pick deepeval when tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; pick awesome-tensor-compilers when tags unique to awesome-tensor-compilers: deep-learning, high-performance-computing, compiler, machine-learning.
Markdown twin · deepeval alternatives · awesome-tensor-compilers alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | deepeval | awesome-tensor-compilers |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (630d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- deepeval
- The LLM Evaluation Framework
- awesome-tensor-compilers
- A list of awesome compiler projects and papers for tensor computation and deep learning.
Stars
- deepeval
- 17k
- awesome-tensor-compilers
- 2.8k
Forks
- deepeval
- 1.6k
- awesome-tensor-compilers
- 327
Open issues
- deepeval
- 334
- awesome-tensor-compilers
- 4
Language
- deepeval
- Python
- awesome-tensor-compilers
- -
Adopt for
- deepeval
- -
- awesome-tensor-compilers
- -
Persona
- deepeval
- -
- awesome-tensor-compilers
- -
Runtime
- deepeval
- -
- awesome-tensor-compilers
- -
License
- deepeval
- Apache-2.0
- awesome-tensor-compilers
- -
Last pushed
- deepeval
- Jul 10, 2026
- awesome-tensor-compilers
- Oct 19, 2024
Categories
- deepeval
- LLM Frameworks, Evaluation & Observability
- awesome-tensor-compilers
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- awesome-tensor-compilers
- Dormant (18%)
Days since push
- deepeval
- 0d
- awesome-tensor-compilers
- 630d
Open issues (now)
- deepeval
- 334
- awesome-tensor-compilers
- 4
Owner type
- deepeval
- Organization
- awesome-tensor-compilers
- User
Full report
- deepeval
- Trust report
- awesome-tensor-compilers
- 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 2.8k) - 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 awesome-tensor-compilers if…
- Tags unique to awesome-tensor-compilers: deep-learning, high-performance-computing, compiler, machine-learning.
- Leaner open-issue backlog (4).
When NOT to use awesome-tensor-compilers
- Last GitHub push was 630 days ago (dormant maintenance, Oct 19, 2024). Validate activity before betting a new project on awesome-tensor-compilers.
- 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 (merrymercy/awesome-tensor-compilers) · observed Jul 11, 2026
- GitHub forks (merrymercy/awesome-tensor-compilers) · observed Jul 11, 2026
- Last push (merrymercy/awesome-tensor-compilers) · observed Oct 19, 2024
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deepeval 17k · awesome-tensor-compilers 2.8k (synced Jul 11, 2026).
Common questions
- What is the difference between deepeval and awesome-tensor-compilers?
- deepeval: The LLM Evaluation Framework. awesome-tensor-compilers: A list of awesome compiler projects and papers for tensor computation and deep learning.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over awesome-tensor-compilers?
- Choose deepeval over awesome-tensor-compilers when Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; Also covers LLM Frameworks; More GitHub stars (17k vs 2.8k) - visibility, not fit.
- When should I choose awesome-tensor-compilers over deepeval?
- Choose awesome-tensor-compilers over deepeval when Tags unique to awesome-tensor-compilers: deep-learning, high-performance-computing, compiler, machine-learning; Leaner open-issue backlog (4).
- 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 awesome-tensor-compilers?
- Last GitHub push was 630 days ago (dormant maintenance, Oct 19, 2024). Validate activity before betting a new project on awesome-tensor-compilers. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is deepeval or awesome-tensor-compilers more popular on GitHub?
- deepeval has more GitHub stars (16,767 vs 2,762). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and awesome-tensor-compilers open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to deepeval or awesome-tensor-compilers?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and awesome-tensor-compilers alternatives (deepeval markdown twin, awesome-tensor-compilers 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 awesome-tensor-compilers?
- deepeval: Very active. awesome-tensor-compilers: 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 awesome-tensor-compilers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; awesome-tensor-compilers trust report.