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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. AI Evaluation And Observability
  5. Arize AI vs Zeno

Arize AI vs Zeno

OverviewComparisonAlternatives

Overview

Arize AI
Arize AI
Stacks3
Followers1
Votes0
Zeno
Zeno
Stacks0
Followers0
Votes0
GitHub Stars491
Forks32

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Detailed Comparison

Arize AI
Arize AI
Zeno
Zeno

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 interactive AI evaluation platform for exploring, debugging, and sharing how your AI systems perform. Evaluate any task and data type with Zeno's modular views which support everything from chatbot conversations to object detection and audio transcription.

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
Data exploration; Error discovery; Chart building; Report authoring
Statistics
GitHub Stars
-
GitHub Stars
491
GitHub Forks
-
GitHub Forks
32
Stacks
3
Stacks
0
Followers
1
Followers
0
Votes
0
Votes
0
Integrations
Python
Python
Google BigQuery
Google BigQuery
Amazon S3
Amazon S3
Amazon Bedrock
Amazon Bedrock
Snowflake
Snowflake
OpenAI
OpenAI
Google Cloud Storage
Google Cloud Storage
Python
Python
Hugging Face
Hugging Face
LangChain
LangChain
OpenAI
OpenAI

What are some alternatives to Arize AI, Zeno?

LangSmith

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

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 — 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

SentinelQA

CI failures are painful to debug. SentinelQA gives you run summaries, flaky test detection, regression analysis, visual diffs and AI-generated action items.

Free AI Image Detector

Free AI Image Detector

Is this image AI-generated? Free AI detector with 99.7% accuracy detects fake photos, deepfakes, and AI images from DALL-E, Midjourney, Stable Diffusion. No signup required.

Portkey

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

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.

Baserun

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

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

Relari

It helps AI teams rigorously test, validate, and improve GenAI applications throughout the entire development lifecycle.

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