PromptSite provides prompt version management for tracking, experimentation, and debugging LLM prompts.
confident-ai/deepeval
DeepEval is an LLM evaluation framework, according to its repository description.

About confident-ai/deepeval
DeepEval is an open-source framework for evaluating large-language model systems, described as similar to Pytest but for unit testing LLM applications. It supports testing of agents, RAG pipelines, and chatbots at the level of end-to-end behavior, full agent trajectories, and individual steps such as LLM calls, tool use, and retrieval.
It includes ready-to-use metrics for custom, agentic, RAG, and multi-turn evaluation that can use a selected LLM or NLP models that run locally. Comparing iterations, sharing reports, and production monitoring are linked to Confident AI, a separate enterprise platform.
Key features
- Evaluate LLM apps end-to-end as black boxes
- Evaluate complete agent trajectories across decisions and actions
- Evaluate individual steps such as LLM calls, tool use, retrieval
- RAG metrics for answer relevancy, faithfulness, and retrieval context
- Agentic metrics for task completion, tool correctness, and plan adherence
- Custom metrics including G-Eval, DAG builder, and JevEval
- Open-source framework for unit testing LLM applications
- Evaluates end-to-end behavior, full trajectories, and individual agent steps
- Metrics can use a chosen LLM or NLP models that run locally
- Comparing iterations, sharing reports, and production monitoring require the separate Confident AI platform
confident-ai/deepeval at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
confident-ai/deepeval alternatives
Tools and sites you could use instead, ranked by how closely they match.
OneCompression is a Python package for compressing large language models.
This repository contains utilities intended for use with Llama models.
OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.
Semantic Cache Router presents a distributed semantic cache and stateful routing system.
Notte provides cloud browser infrastructure and web automation for AI and coding agents.
Popular in AI Infrastructure & MLOps
Well-known listings from the same topic.
confident-ai/deepeval FAQ
What can DeepEval evaluate?
What kinds of metrics are included?
Does it work with LangChain or OpenAI implementations?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.












