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

Portkey vs Zeno

OverviewComparisonAlternatives

Overview

Zeno
Zeno
Stacks0
Followers0
Votes0
GitHub Stars491
Forks32
Portkey
Portkey
Stacks3
Followers3
Votes0

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CLI (Node.js)
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Detailed Comparison

Zeno
Zeno
Portkey
Portkey

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.

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.

Data exploration; Error discovery; Chart building; Report authoring
Control panel for AI apps; Ship reliable, cost-efficient, and fast apps; Get insights from 40+ metrics and debug with detailed logs and traces; Integrate in a minute
Statistics
GitHub Stars
491
GitHub Stars
-
GitHub Forks
32
GitHub Forks
-
Stacks
0
Stacks
3
Followers
0
Followers
3
Votes
0
Votes
0
Integrations
Python
Python
Hugging Face
Hugging Face
LangChain
LangChain
OpenAI
OpenAI
PaLM 2
PaLM 2
LLaMA
LLaMA
Claude
Claude
TypeScript
TypeScript
LangChain
LangChain
LlamaIndex
LlamaIndex
Python
Python
Cohere.com
Cohere.com
Node.js
Node.js
Amazon Bedrock
Amazon Bedrock

What are some alternatives to Zeno, Portkey?

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.

Arize AI

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.

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.

Magika

Magika

It leverages the power of cutting-edge deep learning to enhance the world of file type detection. It provides increased accuracy and support for a comprehensive range of content types, outperforming traditional tools with 99%+ average precision and recall.

Deepchecks LLM Evaluation

Deepchecks LLM Evaluation

Continuously validate your LLM-based application throughout the entire lifecycle from pre-deployment and internal experimentation to production.

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.

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