DeepEval

DeepEval

Confident AI
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About

DeepEval is a simple-to-use, open source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain, or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence. The framework supports synthetic dataset generation with advanced evolution techniques and integrates seamlessly with popular frameworks, allowing for efficient benchmarking and optimization of LLM systems.

About

LayerLens is an independent AI model evaluation platform for understanding how models perform through verified results across benchmarks, prompt-level results, agentic benchmarks, and audit-ready comparisons across vendors. It helps teams compare more than 200 AI models side by side, with transparent benchmarks, model comparison tools, and consistent evaluation methods for accuracy, latency, behavior, and real-world applicability. LayerLens is built for deep model analysis through Spaces, where teams can group benchmarks and evaluations, explore task strengths, and track performance patterns in context. It supports continuous evaluation by running ongoing evals across model versions, prompt changes, judge updates, and live traces, helping teams detect quality regressions, drift, silent failures, contamination, and policy issues before they affect production.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professional users interested in a tool to evaluate, test, and optimize their LLM applications

Audience

AI engineering and governance teams that need transparent, continuous evaluations to compare models, monitor production behavior, and reduce risk before deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Confident AI
United States
docs.confident-ai.com

Company Information

LayerLens
United States
stratix.layerlens.ai/

Alternatives

Alternatives

DeepEval

DeepEval

Confident AI
Braintrust

Braintrust

Braintrust Data

Categories

Categories

Integrations

OpenAI
AI21 Studio
Amazon Web Services (AWS)
Anthropic
Cohere
Databricks
DeepSeek
Google AI Mode
Hugging Face
KitchenAI
LangChain
Llama 2
Meta AI
Microsoft 365
Mistral AI
NVIDIA AI Data Platform
Opik
Perplexity
Qwen
Ragas

Integrations

OpenAI
AI21 Studio
Amazon Web Services (AWS)
Anthropic
Cohere
Databricks
DeepSeek
Google AI Mode
Hugging Face
KitchenAI
LangChain
Llama 2
Meta AI
Microsoft 365
Mistral AI
NVIDIA AI Data Platform
Opik
Perplexity
Qwen
Ragas
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