Comparison
deepeval vs langevals
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 langevals if langEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease.
Markdown twin · deepeval alternatives · langevals alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | deepeval | langevals |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Archived (209d since push) As of Sep 13, 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 13, 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.
- langevals
- Provides a platform for evaluating and benchmarking LLM models using various evaluators
Stars
- deepeval
- 18k
- langevals
- 72
Forks
- deepeval
- 2.0k
- langevals
- 10
Open issues
- deepeval
- 624
- langevals
- 0
Language
- deepeval
- Python
- langevals
- -
Adopt for
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
- langevals
- LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease.
Persona
- deepeval
- -
- langevals
- -
Runtime
- deepeval
- -
- langevals
- -
License
- deepeval
- Apache-2.0 License
- langevals
- -
Last pushed
- deepeval
- Sep 18, 2026
- langevals
- Feb 15, 2026
Categories
- deepeval
- Evaluation & Observability
- langevals
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- langevals
- Archived (8%)
Days since push
- deepeval
- 1d
- langevals
- 209d
Archived on GitHub
- deepeval
- No
- langevals
- Yes
Open issues (now)
- deepeval
- 624
- langevals
- 0
Stars delta
- deepeval
- +1.1k (30d)
- langevals
- 0 (30d)
Open issues delta
- deepeval
- +220 (30d)
- langevals
- -18 (30d)
Full report
- deepeval
- Trust report
- langevals
- Trust report
Choose deepeval if…
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: llm-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 langevals if…
- Tags unique to langevals: guardrails, llm, openai.
- When you need a singular point of access to multiple LLM evaluation tools
- Leaner open-issue backlog (0).
When NOT to use langevals
- If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option
- When needing to customize evaluation processes extensively beyond what the provided standard interface allows
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 (langwatch/langevals) · observed Sep 20, 2026
- GitHub forks (langwatch/langevals) · observed Sep 20, 2026
- Last push (langwatch/langevals) · observed Feb 15, 2026
- 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 · langevals 72 (synced Sep 20, 2026).
Common questions
- What is the difference between deepeval and langevals?
- deepeval: LLM Evaluation Framework.. langevals: Provides a platform for evaluating and benchmarking LLM models using various evaluators. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over langevals?
- Choose deepeval over langevals when Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: llm-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 langevals over deepeval?
- Choose langevals over deepeval when Tags unique to langevals: guardrails, llm, openai; When you need a singular point of access to multiple LLM evaluation tools; Leaner open-issue backlog (0).
- 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 langevals?
- If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option When needing to customize evaluation processes extensively beyond what the provided standard interface allows
- Is deepeval or langevals more popular on GitHub?
- deepeval has more GitHub stars (18,341 vs 72). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and langevals open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to deepeval or langevals?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and langevals alternatives (deepeval markdown twin, langevals 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 langevals?
- deepeval: Very active. langevals: Archived. 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 langevals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; langevals trust report.