DeepEval
DeepEval is an open-source framework designed for evaluating large-language models (LLMs) in Python. It offers specialized unit testing akin to Pytest, focusing on metrics like G-Eval and RAGAS. By facilitating synthetic dataset generation and seamless integration with popular frameworks, it empowers users to optimize hyperparameters and enhance model performance effectively.
Top DeepEval Alternatives
Ragas
Ragas is an open-source framework that empowers developers to rigorously test and evaluate Large Language Model applications.
Keywords AI
An innovative platform for AI startups, Keywords AI streamlines the monitoring and debugging of LLM workflows.
Galileo
Galileo's Evaluation Intelligence Platform empowers AI teams to effectively evaluate and monitor their generative AI applications at scale.
ChainForge
ChainForge is an innovative open-source visual programming environment tailored for prompt engineering and evaluating large language models.
promptfoo
With over 70,000 developers utilizing it, Promptfoo revolutionizes LLM testing through automated red teaming for generative AI.
Literal AI
Literal AI serves as a dynamic platform for engineering and product teams, streamlining the development of production-grade Large Language Model (LLM) applications.
Opik
By enabling trace logging and performance scoring, it allows for in-depth analysis of model outputs...
TruLens
It employs programmatic feedback functions to assess inputs, outputs, and intermediate results, enabling rapid iteration...
Arize Phoenix
It features prompt management, a playground for testing prompts, and tracing capabilities, allowing users to...
Scale Evaluation
It features tailored evaluation sets that ensure precise model assessments across various domains, backed by...
Chatbot Arena
Users can ask questions, compare responses, and vote for their favorites while maintaining anonymity...
AgentBench
It employs a standardized set of benchmarks to evaluate capabilities such as task-solving, decision-making, and...
Langfuse
It offers essential features like observability, analytics, and prompt management, enabling teams to track metrics...
Symflower
By evaluating a multitude of models against real-world scenarios, it identifies the best fit for...
Traceloop
It facilitates seamless debugging, enables the re-running of failed chains, and supports gradual rollouts...
Top DeepEval Features
- Unit testing LLM outputs
- Open source framework
- Supports synthetic dataset generation
- Integrates with popular frameworks
- Advanced evolution techniques
- Evaluates multiple LLM metrics
- Security and safety testing
- Hyperparameter optimization
- Prompt drifting prevention
- Local evaluation capabilities
- Supports RAG implementations
- Fine-tuning compatibility
- Easy integration with LangChain
- LlamaIndex support
- Hallucination detection metrics
- Answer relevancy scoring
- Customizable evaluation parameters
- Efficient benchmarking tools
- Rapid iteration on prompts
- User-friendly interface
