Comparison
deepeval vs PHUDGE
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 PHUDGE if pHUDGE grades LLM responses using scalable configurations with custom rubrics and reference answers for both relative and absolute grading.
Markdown twin · deepeval alternatives · PHUDGE alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | deepeval | PHUDGE |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (791d since push) As of Sep 10, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 10, 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.
- PHUDGE
- Evaluation toolkit for LLM responses with scalable grading and hallucination detection.
Stars
- deepeval
- 18k
- PHUDGE
- 53
Forks
- deepeval
- 2.0k
- PHUDGE
- 7
Open issues
- deepeval
- 624
- PHUDGE
- 1
Language
- deepeval
- Python
- PHUDGE
- Jupyter Notebook
Adopt for
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
- PHUDGE
- PHUDGE grades LLM responses using scalable configurations with custom rubrics and reference answers for both relative and absolute grading.
Persona
- deepeval
- -
- PHUDGE
- -
Runtime
- deepeval
- -
- PHUDGE
- -
License
- deepeval
- Apache-2.0 License
- PHUDGE
- No clear open-source license listed. Verify usage rights before incorporation into projects.
Last pushed
- deepeval
- Sep 18, 2026
- PHUDGE
- Jul 10, 2024
Categories
- deepeval
- Evaluation & Observability
- PHUDGE
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- PHUDGE
- Dormant (18%)
Days since push
- deepeval
- 1d
- PHUDGE
- 791d
Open issues (now)
- deepeval
- 624
- PHUDGE
- 1
Stars delta
- deepeval
- +1.1k (30d)
- PHUDGE
- 0 (30d)
Open issues delta
- deepeval
- +220 (30d)
- PHUDGE
- 0 (30d)
Owner type
- deepeval
- Organization
- PHUDGE
- User
Full report
- deepeval
- Trust report
- PHUDGE
- Trust report
Shared compatibility
- Python · deepeval: Python runtime · PHUDGE: Python runtime
Choose deepeval if…
- deepeval is primarily Python; PHUDGE is Jupyter Notebook.
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: 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 PHUDGE if…
- PHUDGE is primarily Jupyter Notebook; deepeval is Python.
- Pricing: Primary model is free; potential costs associated with training and running on specific hardware..
- Tags unique to PHUDGE: absolute-grading, custom-rubric, hallucination-detection, phi-3.
- Need robust evaluation of LLM responses on a scale from one to five
When NOT to use PHUDGE
- Looking for real-time deployment without setup for different environments
- Need support for models not compatible with Phi-3 architecture
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 (deshwalmahesh/PHUDGE) · observed Sep 20, 2026
- GitHub forks (deshwalmahesh/PHUDGE) · observed Sep 20, 2026
- Last push (deshwalmahesh/PHUDGE) · observed Jul 10, 2024
- License file (unknown) · 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 · PHUDGE 53 (synced Sep 20, 2026).
Common questions
- What is the difference between deepeval and PHUDGE?
- deepeval: LLM Evaluation Framework.. PHUDGE: Evaluation toolkit for LLM responses with scalable grading and hallucination detection.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over PHUDGE?
- Choose deepeval over PHUDGE when deepeval is primarily Python; PHUDGE is Jupyter Notebook; Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: 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 PHUDGE over deepeval?
- Choose PHUDGE over deepeval when PHUDGE is primarily Jupyter Notebook; deepeval is Python; Pricing: Primary model is free; potential costs associated with training and running on specific hardware.; Tags unique to PHUDGE: absolute-grading, custom-rubric, hallucination-detection, phi-3; Need robust evaluation of LLM responses on a scale from one to five.
- 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 PHUDGE?
- Looking for real-time deployment without setup for different environments Need support for models not compatible with Phi-3 architecture
- Is deepeval or PHUDGE more popular on GitHub?
- deepeval has more GitHub stars (18,341 vs 53). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and PHUDGE open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to deepeval or PHUDGE?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and PHUDGE alternatives (deepeval markdown twin, PHUDGE 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 PHUDGE?
- deepeval: Very active. PHUDGE: 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 PHUDGE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; PHUDGE trust report.