Promptmetheus vs PromptMage Detailed comparison features, price

Promptmetheus

Promptmetheus delivers a sophisticated integrated development environment specifically designed for prompt engineering, featuring a unique LEGO-like block system that breaks prompts into manageable components such as Context, Task, Instructions, Samples, and Primer. This systematic approach enables users to fine-tune and optimize their prompts for maximum effectiveness.

The platform offers robust testing capabilities, collaborative features for teams, and comprehensive analytics tools. Users can evaluate prompts across various conditions using datasets, track completion ratings, and optimize prompt chains for consistent performance. The system includes features for cost estimation, data export, and complete prompt design history tracking.

PromptMage

PromptMage is a comprehensive Python framework designed to streamline the development of Large Language Model (LLM) based applications. This self-hosted solution offers an intuitive interface for creating and managing complex LLM workflows, complete with integrated version control capabilities and a robust testing environment.

The framework stands out with its FastAPI-powered automatic API generation, built-in prompt playground for rapid iteration, and comprehensive evaluation tools for both manual and automatic testing. While currently in alpha state, it provides essential features for developers and organizations looking to build reliable LLM applications with proper version control and collaboration features.

Promptmetheus

Pricing

Freemium

From 29$

PromptMage

Pricing

Other

Promptmetheus

Features

Modular Prompt Composition: LEGO-like blocks for systematic prompt construction
Multi-LLM Support: Integration with 100+ language models and inference APIs
Testing Tools: Dataset-based evaluation and completion ratings
Team Collaboration: Shared workspaces and real-time collaboration features
Analytics Dashboard: Performance statistics, charts, and insights
Cost Management: Inference cost calculation under different configurations
Version Control: Complete history tracking of prompt design process
Export Capabilities: Multiple format options for prompts and completions

PromptMage

Features

Version Control: Built-in tracking system for prompt development and collaboration
Prompt Playground: Interactive interface for testing and refining prompts
Auto-generated API: FastAPI-powered automatic API creation for easy integration
Evaluation Tools: Manual and automatic testing capabilities for prompt validation
Type Hints: Comprehensive type hinting for automatic inference and validation
Self-hosted Solution: Complete control over deployment and infrastructure

Promptmetheus

Use cases

Developing AI applications
Optimizing prompt chains
Team-based prompt engineering
LLM performance testing
Building prompt libraries
AI workflow automation
Prompt version management
API endpoint deployment

PromptMage

Use cases

Building complex LLM-based applications
Managing and versioning prompt development
Testing and validating LLM workflows
Collaborating on prompt engineering
Deploying LLM applications with API integration
Research and development of AI applications

Promptmetheus

FAQs

What is the difference between Forge and Archery?

Forge is the free playground version with local data storage and basic OpenAI LLM support, while Archery offers advanced features including cloud sync, all APIs and LLMs, and additional collaboration tools.

Does Promptmetheus integrate with automation tools?

Yes, Promptmetheus can integrate with automation tools like Make and Zapier.

Are LLM completion costs included in the subscription?

No, subscriptions do not include LLM completion costs. Users need to provide their own API keys.

PromptMage

FAQs

What is the current state of PromptMage?

PromptMage is currently in alpha state and under active development. Users should be aware that the API and features may change at any time.

How can I contribute to PromptMage?

You can contribute by reporting bugs, improving documentation, fixing bugs, submitting feature requests, and creating pull requests. It's recommended to create an issue before submitting a pull request to discuss changes.

What are the main philosophy points of PromptMage?

PromptMage's philosophy includes integrating prompt playground for fast iteration, treating prompts as first-class citizens with version control, providing manual and automatic testing, enabling easy result sharing, and offering built-in API creation with FastAPI.