PromptLayer vs WhyLabs
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is the first platform built for prompt engineers. Visually manage prompts, log LLM requests, search usage history, collaborate as a team, and more. | It is the leading observability platform trusted by high-performing teams to help maintain the quality and performance of ML models, LLMs, and data pipelines. |
Visually create, edit, and deploy prompts;
Test prompts against usage history;
Understand how your LLM application is being used;
Facilitates collaboration and tightened feedback loops between product and engineering | Detect, prevent, and mitigate risk in your AI applications;
Seamless integration with your existing pipelines and tools;
Model and data health;
LLM security |
Statistics | |
Stacks 0 | Stacks 1 |
Followers 3 | Followers 4 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to PromptLayer, WhyLabs?
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.
Rhesis AI
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Vivgrid — Build, Evaluate & Deploy AI Agents with Confidence
Vivgrid is an AI agent infrastructure platform that helps developers and startups build, observe, evaluate, and deploy AI agents with safety guardrails and global low-latency inference. Support for GPT-5, Gemini 2.5 Pro, and DeepSeek-V3. Start free with $200 monthly credits. Ship production-ready AI agents confidently.
SentinelQA
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Arize AI
It is an AI observability and LLM evaluation platform designed to help ML and LLM engineers and data scientists surface model issues quicker, resolve their root cause, and ultimately, improve model performance.
Portkey
It improves the cost, performance, and accuracy of Gen AI apps. It takes <2 mins to integrate and with that, it already starts monitoring all of your LLM requests and also makes your app resilient, secure, performant, and more accurate at the same time.
Baserun
It helps AI teams build, monitor, and iterate their LLM applications. It provides a suite of tools, accessible through both UI and SDK, for AI teams to collaborate throughout the product development cycle.
promptfoo
It is a tool for testing and evaluating LLM output quality. With this tool, you can systematically test prompts, models, and RAGs with predefined test cases. It can be utilized as a CLI, a library, or integrated into CI/CD pipelines.
Relari
It helps AI teams rigorously test, validate, and improve GenAI applications throughout the entire development lifecycle.
