Prompt Mixer vs mshumer/gpt-prompt-engineer - GitHub

Prompt Mixer is a desktop application and collaborative workspace for building, testing, and managing AI prompt chains. Engineers, managers, and data experts use it to design prompts together, version changes, and evaluate outputs across multiple LLM providers.

You can chain prompts that pass context between steps, build multi-step workflows through a form-based interface, and connect to OpenAI, Anthropic, Google Gemini, Ollama, and other services via connectors. The open-source Community Edition (MIT license) runs locally on macOS, Windows, and Linux.

Teams get version control with rollback, commenting, and review workflows. Prompt Mixer lets you test prompts against different models before deploying them to production applications.

mshumer/gpt-prompt-engineer is an open source prompt engineering toolkit that generates, tests, and ranks candidate prompts for a task you define. You describe the use case, supply test cases, and the notebooks create multiple prompt variants, run them against every test case, and sort results with an ELO rating system starting at 1200. It ships as Jupyter notebooks you can run in Google Colab or locally.

Most prompt tools help you write one prompt at a time. gpt-prompt-engineer treats prompt selection like a tournament: dozens of candidates compete on your test cases, and the highest ELO scores surface the winners. Separate notebooks cover classification tasks, Claude 3 Opus with auto-generated test cases, and Opus-to-Haiku conversion for cheaper inference. Optional Weights & Biases and Portkey logging trace each run.

ML engineers, prompt engineers, and AI developers use it when they need reproducible prompt tuning instead of manual trial and error. The repo has 9.7k GitHub stars and runs on your own OpenAI or Anthropic API keys. It is free under the MIT license.