Laminar vs W&B Weave

Both are observability & tracing tools. Here is how they actually differ on price, billing model and deployment.

Laminar W&B Weave
Category Observability & Tracing Observability & Tracing
Our rating 4/5 4/5
Starting price $30/mo Per-seat plus usage
Billing meter span gb-ingested
Free plan Yes Yes
Free self-hosting Yes, free No or paid tier only
Best for Teams building AI agents - especially browser agents - who want OpenTelemetry-native tracing they can self-host completely and don't mind an unusual billing model Teams already running Weights & Biases for model training and experiment tracking, who want LLM traces and evals in the same platform as their fine-tuning runs and are comfortable with usage-based ingestion billing.

Our verdict on Laminar

Laminar is the one platform here you can genuinely self-host end to end, and for a browser-agent or long-running-agent stack it's the most purpose-built option, with real credibility from OTel's co-creator as an angel and Browser Use documenting it as their integration. Two honest reservations. It's the youngest and smallest, and its billing - data GB plus Signals measured in tokens spent reading traces - is the hardest to forecast in the category. Self-host is the escape hatch from the billing puzzle, but the exact feature gap versus cloud isn't clearly documented, so verify it before you commit.

Full Laminar review →

Our verdict on W&B Weave

W&B Weave is the strongest option in the category for one specific team - the one already on Weights & Biases. The lineage story is real and unmatched - a model fine-tuned in Sweeps and the eval run testing it appear in the same interface, which no AI-native competitor can offer because none of them do training. The instrumentation API is excellent, the custom scorers are plain Python, and the integration coverage is among the broadest available. Two things temper it. The billing metric is GB of trace data ingested, which is genuinely harder to forecast than per-span or per-seat pricing because it scales with prompt and context size, not just traffic. And CoreWeave now owns it following a reported $1.7B acquisition, which has come with interoperability pledges but leaves an open question about long-term direction. If you are not already a W&B customer, the bundled per-seat maths works against you and there are cheaper focused tools.

Full W&B Weave review →
These two meter differently, so published prices are not comparable. Model both against your own workload →

Frequently Asked Questions

What is the main difference between Laminar and W&B Weave?

Laminar: Teams building AI agents - especially browser agents - who want OpenTelemetry-native tracing they can self-host completely and don't mind an unusual billing model W&B Weave: Teams already running Weights & Biases for model training and experiment tracking, who want LLM traces and evals in the same platform as their fine-tuning runs and are comfortable with usage-based ingestion billing. Both sit in Observability & Tracing, so the decision usually comes down to billing model and deployment rather than raw capability.

Which is cheaper, Laminar or W&B Weave?

It depends entirely on your workload shape, because they meter differently - Laminar bills on span and W&B Weave bills on gb-ingested. Published starting prices are $30/mo and Per-seat plus usage respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.

Can I self-host Laminar or W&B Weave?

Laminar: Yes, free. W&B Weave: No or paid tier only. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.