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Lunary vs Retune

Lunary or Retune? A Comprehensive Review

	Lunary Open-source platform to monitor, manage and improve your LLM apps. Visit Website Visit Website	Retune Create chatbot and personal assistant without coding. Visit Website Visit Website

Overview

Description	Lunary is an innovative open-source platform designed for developers to enhance their LLM apps. It offers a range of features, including advanced logging and debugging tools, cost Read more +	Retune is a user-friendly frontend tool that utilizes OpenAI's GPT-3 fine-tuning API to help users create their own AI-powered applications without any coding knowledge. With Retune, users Read more +
Pricing Options	No free trial $20, month	No free trial $499, month
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Features

Total Features	Features	Features
Unique Features	No features	No features
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Pricing

Pricing Option
Starting From	$20, month	$499, month
	View Detailed Pricing	View Detailed Pricing

Other Details

Customer Types	No customer type information available	No customer type information available
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User Reviews

User Ratings	No Reviews	No Reviews
Pros	Open-source platform LLM apps monitoring LLM apps management LLM apps improvement Precise logs and debugging Error tracing Data labelling for fine-tuning Cost monitoring segmented by user model Benchmarking for models	User-friendly interface No coding required Offers rich playground Complete workflow management Allows monetizing data Monetize fine-tuned models Stranger Believer Partner tiers Unlimited single shot responses
Cons	Limited to LLM apps No multi-language support No mobile app No offline functionality No real-time collaboration No local installation Data center in EU only ISO 27001 certification pending No SLA for service uptime Limited free usage	Lacks offline functionality No mobile app version Limited models in free tier Limited APIs in free tier Pricey higher tiers No variable pricing structure No multi-language support Requires internet connection Limited 24/7 support

Media and Screenshots

Screenshots

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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