PromptDocker vs PromptMetrics

PromptDocker has no write-up on Specifiction yet; its figures are above.

PromptMetrics is a free, open-source, self-hosted prompt registry for managing prompt versions and observing LLM activity. Prompts can be stored, retrieved, and rolled back through a REST API or CLI, with changes recorded in Git. The system logs request metadata including model, tokens, latency, cost, and custom tags, and exports data to stdout JSON or OpenTelemetry. It also tracks agent traces, spans, workflow runs, and prompt versions labeled by environment. Evaluation suites can run against datasets with budget tracking, while A/B tests compare prompt versions and can promote a winner. A compliance scanner checks prompts for PII, API keys, URLs, and IP addresses, then assigns risk scores. Its playground can proxy calls for OpenAI, Anthropic, Cohere, Ollama, and Azure OpenAI. Prompt content can use filesystem, GitHub, or S3 storage; metadata can use SQLite or PostgreSQL. Interfaces include a REST API, CLI, optional Next.js dashboard, and Node.js and Python SDKs. Installation options include npm, Docker Compose, and building from source. The repository identifies the license as MIT.