Side by side
MLflow Prompt Registry vs PromptMetrics
Both stand on ai prompt management software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Web
Visit MLflow Prompt Registry Free plan APILinuxMac+3
PromptMetrics combines prompt management with logging, evaluations, agent traces, and compliance scanning. Its self-hosted deployment and operational security guidance are central considerations.
Visit PromptMetricsThe facts
| MLflow Prompt Registry | PromptMetrics | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Web | API, Linux, Mac, Self-hosted, Web, Windows |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | mlflow.org | github.com |
| On ai prompt management software | #22 of 25 | #18 of 25 |
MLflow Prompt Registry: what it does well
PromptMetrics: what it does well
- Tracks prompt changes in Git and supports rollback.
- Exports logs through stdout JSON or OpenTelemetry.
- Supports dataset evaluations and A/B comparisons.
- Scans prompts for sensitive patterns and assigns risk scores.
- Offers Node.js and Python SDKs.
What to know first
- The project is self-hosted rather than a hosted service.
- The README sets a default limit of 300 requests per 60-second window per API key.
- Security guidance recommends HTTPS, a reverse proxy, and regular backups.
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