Braintrust vs PromptMetrics
Braintrust
braintrust.devPromptMetrics
github.comSide by side
| Figure | Braintrust | PromptMetrics |
|---|---|---|
| Price from | $249/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 0 |
| Spec score · Prompt Management Software | 9.2 (#2) | 7.5 (#21) |
| Spec score · AI Prompt Management Software | 9.2 (#2) | 7.5 (#21) |
| Deployment | Braintrust offers SaaS, bring-your-own-cloud and self-hosted deployment models. | The README provides installation options using npm, Docker Compose, or source, and describes the product as self-hosted. |
| Headquarters | LinkedIn lists San Francisco as Braintrust's headquarters. | Berlin, Germany |
| Observability | The platform captures agent traces, prompts, responses and tool calls, with search across logs plus latency, cost and quality tracking. | It logs LLM request metadata such as model, tokens, latency, cost, and custom tags, and can export data through OpenTelemetry. |
| Security controls | The security documentation states that data is encrypted in transit and at rest, with provider secrets protected using AES-256. | API keys are HMAC-SHA256 hashed, support scoped permissions and optional expiration, and the dashboard uses a proxy so keys are not stored in browser localStorage. |
| What it does | Braintrust is an observability and evaluation platform for instrumenting, understanding and improving AI agents in production. | PromptMetrics is a lightweight, self-hosted prompt registry for versioning prompts and tracking LLM activity. |
Plans
In their own words
Braintrust
Braintrust is an observability platform for teams running AI agents in production. It lets teams inspect agent traces and tool calls while tracking latency, cost, and quality in real time. Users can evaluate datasets, compare prompts and models, and score outputs with LLMs, code, or human reviewers. Discovery tools surface patterns in production traces to help investigate agent behavior, and the Loop agent can run evaluations, generate test cases, and iterate on prompts autonomously. Braintrust lists native SDKs for Python, TypeScript, Go, Ruby, C#, and more, and its MCP server lets coding agents query logs, run evaluations, and update prompts from an IDE. Security options listed include SSO, RBAC, and hybrid deployment; Braintrust states that it is SOC 2 Type II certified and GDPR and HIPAA compliant. Starter is free, with 1 GB processed data, 10,000 scores, and 14-day retention. Pro costs $249.00 per month; Enterprise pricing is custom.
PromptMetrics
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.