Audience
Professional users interested in a tool to evaluate, test, and optimize their LLM applications
About DeepEval
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.
Other Popular Alternatives & Related Software
evalship
evalship helps engineering teams test and improve LLM-powered software. At setup, your coding agent reviews every scorer, judge and prompt in your evals and finds their flaws, such as a judge that scores 1.0 when its call fails, each with fix instructions. On every pull request, evalship compares results with the default branch, reports the evals a change really broke and the likely cause, sets flaky evals aside, and flags AI calls no eval exercises. Its check can block a merge that breaks an eval. Optimize has your coding agent try prompt and model changes on your machine, such as a cheaper model or clearer instructions, and evalship says which win beyond chance and by how much in pass rate, cost and time. Evals run with your own keys, in your own GitHub Actions or on your machine. evalship reads results from pytest, Vitest, Jest, promptfoo, Langfuse, Braintrust and LangSmith, with no SDK to add. Public repositories are free; paid plans start at $19 a month.
Learn more about evalship
Scorable
Scorable is an AI evaluation and monitoring platform designed to help developers measure, control, and improve the behavior of applications built with large language models. It enables teams to create customized automated evaluators, sometimes referred to as AI “judges”, that assess how an AI system responds to users and whether its outputs meet defined quality standards such as accuracy, relevance, helpfulness, tone, and policy compliance. Developers can describe what they want to measure in plain language, and the platform generates a tailored evaluation stack that tests AI outputs against context-specific criteria rather than generic benchmarks. These evaluators can be embedded directly into application code, allowing AI systems such as chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents to be continuously monitored in production environments.
Learn more about Scorable
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed.
Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning.
Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production.
Features:
Agent Simulation
Agent Evaluation
Prompt Playground
Logging/Tracing Workflows
Custom Evaluators- AI, Programmatic and Statistical
Dataset Curation
Human-in-the-loop
Use Case:
Simulate and test AI agents
Evals for agentic workflows: pre and post-release
Tracing and debugging multi-agent workflows
Real-time alerts on performance and quality
Creating robust datasets for evals and fine-tuning
Human-in-the-loop workflows
Learn more about Maxim
Galileo
Galileo is an AI observability and eval engineering platform that helps teams measure, protect, and improve AI systems in development and production. Now part of Cisco, the platform turns offline evaluations into production guardrails so teams can stop AI failures instead of only monitoring them. Galileo helps users build datasets from synthetic, development, and live production data, while capturing subject matter expert annotations as ground truth. The platform includes more than 20 out-of-the-box evals for RAG, agents, safety, security, and custom evaluation workflows. Its Luna models distill expensive LLM-as-judge evaluators into lower-cost, low-latency guardrails that can monitor production traffic. Built for enterprises and developers, Galileo helps teams debug failures, improve agent behavior, enforce AI policies, and ship AI applications with more confidence.
Learn more about Galileo
Pricing
Starting Price:
Free
Free Version:
Free Version available.
Integrations
Company Information
Confident AI
United States
docs.confident-ai.com
Videos and Screen Captures
Other Useful Business Software
Build Agents and Models on One Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
DeepEval Frequently Asked Questions
Q: What kinds of users and organization types does DeepEval work with?
DeepEval works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does DeepEval support in their product?
DeepEval supports these languages: English.
Q: What kind of support options does DeepEval offer?
DeepEval offers support via online.
Q: What other applications or services does DeepEval integrate with?
DeepEval integrates with: Hugging Face, KitchenAI, LangChain, Llama 2, LlamaIndex, OpenAI, Opik, Ragas, and Weaviate.
Q: What type of training does DeepEval provide?
DeepEval provides training in the form of documentation.
Q: How much does DeepEval cost?
Pricing for DeepEval starts at Free.
