Latitude vs Braintrust

Braintrust focuses on evals you build manually. Latitude auto-generates them from what actually breaks in production.

Feature
Braintrust
Latitude
Evaluations
LLM-as-a-judge scoring
LLM-as-a-judge + custom scorers
LLM-as-a-judge + custom
Dataset management
Golden datasets + versioning
Dataset creation + management
CI/CD quality gates
Native CI/CD integration
Coming soon
Eval generation from failures
Loop agent assists manually
Auto-generated on issue creation
Observability
Tracing & spans
Full tracing + Brainstore
Full tracing + OTEL-native
Multi-turn agent sessions
Session-level tracing
Full conversation context + tool calls
OTEL compatibility
Native OTLP + exporters
TS + Python + any OTEL exporter
Issue Management
Issue discovery
ML-based topic clustering
Auto-detected + user-driven via semantic search
Issue lifecycle tracking
No formal lifecycle tracking
New → Escalating → Resolved → Regressed
Regression detection
CI/CD gates + drift alerts
Auto-surfaces regressions after deploy
Human annotation alignment
Human review available
MCC metric tracks eval-human agreement
Platform
Self-hosted option
Cloud only
MIT, full control
Open-source
Proprietary
MIT, 4K+ stars
Free plan
Free tier available
20K credits/mo, unlimited seats

Braintrust is strong on evals. Latitude adds the closed loop: failures auto-generate the evals that prevent them from recurring.

Why teams choose Latitude

Evals that generate themselves

Braintrust requires manual eval creation. Every time an issue is created, Latitude automatically generates a monitoring eval script from that real production failure.

One platform, not two

Braintrust separates observability from evals. Latitude runs the full loop: Observe, Score, Discover Issues, Generate Evals. No glue code.

Built for agents, not LLM calls

Multi-turn conversations, tool calls, non-deterministic paths. Latitude traces agent complexity that simple request/response tools miss.

See it in action

The agent reliability platform

Traces, issue discovery, evals auto-generated on every new issue, and human alignment — in one continuous loop.

How it works

From failures to evaluations. Automatically.

Latitude's closed-loop system turns production failures into monitoring scripts, calibrated to your definition of quality.

1

Observe

Capture every agent interaction. Spans, traces, sessions. OTEL-compatible SDK.

Traces dashboard showing real-time spans, latency, and cost metrics
2

Discover

Some failures auto-detected. Find more via semantic search over traces — annotate failed ones to create named issues. Prioritized by frequency and impact.

Issues dashboard with failure patterns and lifecycle tracking
3

Evaluate

Eval scripts generated automatically every time an issue is created. Run continuously on matching traces.

Annotation queues for human evaluation and ground truth collection
4

Align

MCC metric measures how well automated evals agree with human judgment. Drift stays visible.

Human review interface showing automated and human verdicts side by side

Continuous loop. Every iteration improves the next.

4,000+

GitHub stars

1,200+

Community members

MIT

Open source

Self-host

Your infrastructure

Teams using Latitude in production

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Stop building evals by hand

Auto-generate evals from real production failures. Free plan, no credit card required.

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