--- title: "deepeval vs langevals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/confident-ai-deepeval-vs-langwatch-langevals" tools: ["confident-ai-deepeval", "langwatch-langevals"] --- # deepeval vs langevals *GraphCanon updated Sep 20, 2026* ## 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. [deepeval](https://deepeval.com) reports 18k GitHub stars, 2.0k forks, and 624 open issues, last pushed Sep 18, 2026. [langevals](https://langwatch.ai/) has 72 stars, 10 forks, and 0 open issues, last pushed Feb 15, 2026. Figures are from public GitHub metadata via [deepeval's repository](https://github.com/confident-ai/deepeval) and [langevals's repository](https://github.com/langwatch/langevals). | | [deepeval](/tools/confident-ai-deepeval.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Tagline | LLM Evaluation Framework. | Provides a platform for evaluating and benchmarking LLM models using various evaluators | | Stars | 18,342 | 72 | | Forks | 1,953 | 10 | | Open issues | 624 | 0 | | Language | Python | - | | Adopt for | Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies. | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 License | - | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepeval](/tools/confident-ai-deepeval.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 209d | | Archived on GitHub | No | Yes | | Open issues (now) | 624 | 0 | | Stars delta | +1.1k (30d) | 0 (30d) | | Open issues delta | +220 (30d) | -18 (30d) | | Full report | [trust report](/tools/confident-ai-deepeval/trust.md) | [trust report](/tools/langwatch-langevals/trust.md) | ## Decision facts: deepeval - **Requirements:** Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities. - **Adopt for:** Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies. - **License detail:** Apache-2.0 License ## Decision facts: langevals - **Pricing:** unknown - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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 ## 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 (18,342 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](/tools/confident-ai-deepeval/alternatives) and [langevals alternatives](/tools/langwatch-langevals/alternatives) ([deepeval markdown twin](/tools/confident-ai-deepeval/alternatives.md), [langevals markdown twin](/tools/langwatch-langevals/alternatives.md)), 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](/compare/confident-ai-deepeval-vs-langwatch-langevals.md) 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](/tools/confident-ai-deepeval/trust); [langevals trust report](/tools/langwatch-langevals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=confident-ai-deepeval`](/api/graphcanon/graph?tool=confident-ai-deepeval) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_