DeepEval vs Hugging Face
Overview
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Detailed Comparison
Build, train, and deploy state of the art models powered by the reference open source in machine learning. | It is a simple-to-use, open-source evaluation framework for LLM applications. It is similar to Pytest but specialized for unit testing LLM applications. It evaluates performance based on metrics such as hallucination, answer relevancy, RAGAS, etc., using LLMs and various other NLP models locally on your machine. |
Create, discover and collaborate on ML better;
Thousands of creators work as a community to solve Audio, Vision, and Language with AI | Simple functions to unit test LLM applications in the CLI;
Gain insights to quickly iterate towards optimal hyperparameters;
Evaluate existing LLM applications built with other frameworks |
Statistics | |
GitHub Stars - | GitHub Stars 11.9K |
GitHub Forks - | GitHub Forks 1.0K |
Stacks 104 | Stacks 1 |
Followers 53 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Hugging Face, DeepEval?
Clever AI Humanizer
That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
Ollama
It allows you to run open-source large language models, such as Llama 2, locally.
LlamaIndex
It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.
LangGraph
It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.
LangSmith
It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
GPTScript
It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.
Vercel AI SDK
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Chroma
It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
LLM
It is a Rust ecosystem of libraries for running inference on large language models, inspired by llama.cpp. On top of llm, there is a CLI application, llm-cli, which provides a convenient interface for running inference on supported models.
