DeepEval vs Humanloop
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
It is a low code platform to rapidly annotate data, train and then deploy custom Natural Language Processing (NLP) models. It takes care of model training, data selection and deployment for you. You upload your data and we provide an annotation interface for you to teach a classifier. As you label we train a model, work out what data is most valuable and then deploy the model for you. | 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. |
10x fewer labels needed;
Add your own heuristics and rules to speed up labelling;
Powerful search to focus your labelling efforts;
Powerful pretrained models from the forefront of NLP research | 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 2 | Stacks 1 |
Followers 4 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Humanloop, 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.
v0 by Vercel
It is a generative user interface system by Vercel powered by AI. It generates copy-and-paste friendly React code based on shadcn/ui and Tailwind CSS that people can use in their projects.
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.
Glide
It is an AI-enabled editor that helps developers write technical design docs faster. It’s like an IDE with Copilot, but instead of directly editing your code, it helps you come up with a solid plan before implementing a change.
ChatGPT
It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
