Arize AI vs Log10
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | It is an AI-powered LLMOps platform that enables developers to build continuously improving LLM-powered applications and ship them into production. |
Automatically detect model issues in production;
Trace the root cause back to problematic data;
Fine-tune performance and improve outcomes;
Designed with your goals in mind | Manage LLM data;
Continuously monitor the health of your LLM apps;
Optimize your LLM app via a rich debugger;
Easy programmatic integration |
Statistics | |
GitHub Stars - | GitHub Stars 97 |
GitHub Forks - | GitHub Forks 13 |
Stacks 3 | Stacks 0 |
Followers 1 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Arize AI, Log10?
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
The collaborative testing platform for LLM applications and agents. Your whole team defines quality requirements together, Rhesis generates thousands of test scenarios covering edge cases, simulates realistic multi-turn conversations, and delivers actionable reviews. Testing infrastructure built for Gen AI.
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.
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SentinelQA
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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.
WhyLabs
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.
Deepchecks LLM Evaluation
Continuously validate your LLM-based application throughout the entire lifecycle from pre-deployment and internal experimentation to production.
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.
