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Spanlens vs Braintrust · 2026

A full observability platform with eval inside, not an eval product asking you to bring observability.

Summary

Braintrust has the most polished eval UX in the market and is the right tool if evals are your gate and you're fine with closed-source SaaS. Spanlens bundles eval into a complete observability stack with logging, tracing, anomaly detection, and cost optimization, and ships under MIT so you can self-host it.

At a glance: Spanlens vs Braintrust (2026)

Side-by-side feature comparison of Spanlens and Braintrust in 2026.
FeatureSpanlensBraintrust
Per-request observabilityYesYes
Agent tracing (multi-step waterfall)YesYes
LLM eval frameworkYesYes
Cost dashboards & budgetsYesPartial
Security scanning (PII / keys / injection)YesPartial
1-line baseURL proxy swapYesNo
TypeScript & Python SDKsYesYes
OpenTelemetry ingestYesPartial
LLM-as-judge scoringYesYes
Human annotation queueYesYes
Judge to human correlation trackingYesPartial
Datasets / golden test setsYesYes
Side-by-side output diff UIPartialYes
Versioned prompt libraryYesYes
A/B traffic split in productionYesPartial
Built-in Welch t-test on A/BYesNo
Gradual rollout via headerYesPartial
Model swap recommendations with $ savingsYesNo
Per-model cost breakdown & budget alertsYesPartial
Open source (MIT)YesNo
Docker Compose self-hostYesNo
Managed cloud optionYesYes

Updated 2026-06-03. Scroll for the grouped view with notes below.

Why teams pick Spanlens over Braintrust

A proxy-first platform, not an eval-first SDK

Braintrust has added logging and tracing, but capture is through their SDK and the product is built around evals. Spanlens is proxy-first (swap your baseURL) and bundles per-request logging, cost tracking, agent tracing, anomaly detection, and security scanning alongside eval in one platform.

Fully MIT and self-hostable

Braintrust's platform is closed-source SaaS (its SDKs and the autoevals library are open, but the backend you would run is not). Spanlens ships entirely under MIT with a docker-compose self-host. That matters when prompts contain customer data you can't send to a third party.

Proxy-based capture, no code changes

Swap your baseURL and every call is captured. Braintrust expects you to log through their SDK, which means touching every call site.

Critical Path agent tracing

For multi-step agents, Spanlens highlights the longest dependency chain, the actual bottleneck, not just the longest span. Braintrust focuses on eval, and its agent-trace surface is lighter.

Model savings recommender

Spanlens proactively flags routes where a smaller model would match quality and shows the dollar savings. Braintrust's strength is comparing outputs side by side, and it doesn't recommend cost tier swaps.

Built-in security scanning

Spanlens runs API key leak detection, PII detection, and prompt-injection pattern matching on every request body at log time. Braintrust focuses on eval workflows and treats security scanning as a separate concern.

Feature-by-feature

Scope
Feature
Spanlens
Braintrust
Per-request observability
Agent tracing (multi-step waterfall)
Braintrust added full logging and tracing; capture is via their SDK, not a proxy.
LLM eval framework
Cost dashboards & budgets
Security scanning (PII / keys / injection)
Setup
Feature
Spanlens
Braintrust
1-line baseURL proxy swap
TypeScript & Python SDKs
OpenTelemetry ingest
Eval
Feature
Spanlens
Braintrust
LLM-as-judge scoring
Human annotation queue
Judge to human correlation tracking
Datasets / golden test sets
Side-by-side output diff UI
Braintrust's diff UX is the most polished in the market. Spanlens shows trace pairs side by side from the request log, sufficient for spot-checks but less optimized for daily eval review.
Prompts
Feature
Spanlens
Braintrust
Versioned prompt library
A/B traffic split in production
Built-in Welch t-test on A/B
Gradual rollout via header
Cost optimization
Feature
Spanlens
Braintrust
Model swap recommendations with $ savings
Per-model cost breakdown & budget alerts
License & deployment
Feature
Spanlens
Braintrust
Open source (MIT)
Braintrust's platform is closed-source; only its SDKs and autoevals library are open.
Docker Compose self-host
Managed cloud option

Last updated 2026-06-03 · Spot something inaccurate? Let us know.

When Braintrust might be the better fit

We don't think every team should pick us. Here's where Braintrust legitimately wins.

You live and die by your eval suite

Braintrust's eval UX (diffing two model outputs side by side, scoring rubrics, regression detection) is the most polished in the market. If your team builds dozens of LLM features and evals are your release gate, Braintrust wins on that surface.

You don't need self-hosting

If sending prompts to a third-party SaaS is acceptable for your data classification, Braintrust's managed-only model means zero ops. Spanlens cloud is also zero-ops, but its self-host option costs nothing if you ever need it.

You want experiment-driven culture as the product

Braintrust's entire UX is built around the idea that every prompt change is a versioned experiment with a scored result. If that's how your team already works, the cognitive fit is high.

Built-in playgrounds for many models

Braintrust's side-by-side playground compares arbitrary models on the same input with a polished UI. Spanlens has a playground built into prompt versions; for cross-vendor head-to-head shopping, Braintrust fits that use case more natively.

Frequently asked questions

Why pick Spanlens over Braintrust for "A proxy-first platform, not an eval-first SDK"?

Braintrust has added logging and tracing, but capture is through their SDK and the product is built around evals. Spanlens is proxy-first (swap your baseURL) and bundles per-request logging, cost tracking, agent tracing, anomaly detection, and security scanning alongside eval in one platform.

Why pick Spanlens over Braintrust for "Fully MIT and self-hostable"?

Braintrust's platform is closed-source SaaS (its SDKs and the autoevals library are open, but the backend you would run is not). Spanlens ships entirely under MIT with a docker-compose self-host. That matters when prompts contain customer data you can't send to a third party.

Why pick Spanlens over Braintrust for "Proxy-based capture, no code changes"?

Swap your baseURL and every call is captured. Braintrust expects you to log through their SDK, which means touching every call site.

Why pick Spanlens over Braintrust for "Critical Path agent tracing"?

For multi-step agents, Spanlens highlights the longest dependency chain, the actual bottleneck, not just the longest span. Braintrust focuses on eval, and its agent-trace surface is lighter.

Why pick Spanlens over Braintrust for "Model savings recommender"?

Spanlens proactively flags routes where a smaller model would match quality and shows the dollar savings. Braintrust's strength is comparing outputs side by side, and it doesn't recommend cost tier swaps.

Why pick Spanlens over Braintrust for "Built-in security scanning"?

Spanlens runs API key leak detection, PII detection, and prompt-injection pattern matching on every request body at log time. Braintrust focuses on eval workflows and treats security scanning as a separate concern.

When is Braintrust a better fit than Spanlens for "You live and die by your eval suite"?

Braintrust's eval UX (diffing two model outputs side by side, scoring rubrics, regression detection) is the most polished in the market. If your team builds dozens of LLM features and evals are your release gate, Braintrust wins on that surface.

When is Braintrust a better fit than Spanlens for "You don't need self-hosting"?

If sending prompts to a third-party SaaS is acceptable for your data classification, Braintrust's managed-only model means zero ops. Spanlens cloud is also zero-ops, but its self-host option costs nothing if you ever need it.

When is Braintrust a better fit than Spanlens for "You want experiment-driven culture as the product"?

Braintrust's entire UX is built around the idea that every prompt change is a versioned experiment with a scored result. If that's how your team already works, the cognitive fit is high.

When is Braintrust a better fit than Spanlens for "Built-in playgrounds for many models"?

Braintrust's side-by-side playground compares arbitrary models on the same input with a polished UI. Spanlens has a playground built into prompt versions; for cross-vendor head-to-head shopping, Braintrust fits that use case more natively.

If your release gate is evals and you don't care about self-hosting, Braintrust is excellent. If you want the same kind of eval quality plus observability, tracing, and the option to run it on your own infra, try Spanlens.

Free tier · No credit card · Self-host with Docker