Comparison
deepeval vs parea-sdk-py
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 parea-sdk-py if parea SDK Py is a Python library specializing in LLM app development tasks such as experimentation, testing, evaluation, and monitoring.
Markdown twin · deepeval alternatives · parea-sdk-py alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | deepeval | parea-sdk-py |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (572d 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.
- parea-sdk-py
- Python SDK for experimenting, testing, evaluating and monitoring LLM-powered applications.
Stars
- deepeval
- 18k
- parea-sdk-py
- 82
Forks
- deepeval
- 2.0k
- parea-sdk-py
- 13
Open issues
- deepeval
- 624
- parea-sdk-py
- 59
Language
- deepeval
- Python
- parea-sdk-py
- Python
Adopt for
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
- parea-sdk-py
- Parea SDK Py is a Python library specializing in LLM app development tasks such as experimentation, testing, evaluation, and monitoring.
Persona
- deepeval
- -
- parea-sdk-py
- -
Runtime
- deepeval
- -
- parea-sdk-py
- -
License
- deepeval
- Apache-2.0 License
- parea-sdk-py
- Apache-2.0
Last pushed
- deepeval
- Sep 18, 2026
- parea-sdk-py
- Feb 13, 2025
Categories
- deepeval
- Evaluation & Observability
- parea-sdk-py
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- deepeval
- Very active (96%)
- parea-sdk-py
- Dormant (18%)
Days since push
- deepeval
- 1d
- parea-sdk-py
- 572d
Open issues (now)
- deepeval
- 624
- parea-sdk-py
- 59
Stars delta
- deepeval
- +1.1k (30d)
- parea-sdk-py
- 0 (30d)
Open issues delta
- deepeval
- +220 (30d)
- parea-sdk-py
- +1 (30d)
Full report
- deepeval
- Trust report
- parea-sdk-py
- Trust report
Shared compatibility
- Python · deepeval: Python runtime · parea-sdk-py: Python runtime
Choose deepeval if…
- 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 parea-sdk-py if…
- Tags unique to parea-sdk-py: llm-eval, prompt-engineering.
- Also covers Model Training.
- For teams prioritizing metrics-driven benchmarking of prompt-engineered applications
When NOT to use parea-sdk-py
- If requiring a tool focused solely on model training without evaluation and monitoring features
- Teams that prefer frameworks exclusively tailored to non-LLM AI application development might find Parea SDK Py less suitable as it focuses heavily on LLM applications
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 (parea-ai/parea-sdk-py) · observed Sep 20, 2026
- GitHub forks (parea-ai/parea-sdk-py) · observed Sep 20, 2026
- Last push (parea-ai/parea-sdk-py) · observed Feb 13, 2025
- License file (Apache-2.0) · 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 · parea-sdk-py 82 (synced Sep 20, 2026).
Common questions
- What is the difference between deepeval and parea-sdk-py?
- deepeval: LLM Evaluation Framework.. parea-sdk-py: Python SDK for experimenting, testing, evaluating and monitoring LLM-powered applications.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over parea-sdk-py?
- Choose deepeval over parea-sdk-py when 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 parea-sdk-py over deepeval?
- Choose parea-sdk-py over deepeval when Tags unique to parea-sdk-py: llm-eval, prompt-engineering; Also covers Model Training; For teams prioritizing metrics-driven benchmarking of prompt-engineered applications.
- 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 parea-sdk-py?
- If requiring a tool focused solely on model training without evaluation and monitoring features Teams that prefer frameworks exclusively tailored to non-LLM AI application development might find Parea SDK Py less suitable as it focuses heavily on LLM applications
- Is deepeval or parea-sdk-py more popular on GitHub?
- deepeval has more GitHub stars (18,341 vs 82). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and parea-sdk-py open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, parea-sdk-py: Apache-2.0).
- Where can I find alternatives to deepeval or parea-sdk-py?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and parea-sdk-py alternatives (deepeval markdown twin, parea-sdk-py 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 parea-sdk-py?
- deepeval: Very active. parea-sdk-py: 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 parea-sdk-py?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; parea-sdk-py trust report.