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Pisama compared
Pisama is process-level failure detection. Most “agent observability” tools are artifact-level tracing. They are different layers, not substitutes. These pages name where each wins, where each loses, and when to run both.
Pisama product options
Open source, fair-code, and Cloud
Compare licenses, deployment models, included capabilities, allowances, runtime-specific features, and commercial upgrades.
- vs · langfusePisama vs LangfusePisama vs Langfuse: process-level forensics on top of artifact-level tracing.
- vs · langsmithPisama vs LangSmithPisama vs LangSmith Engine: measured, portable detection under the auto-fix loop.
- vs · arizePisama vs Arize PhoenixPisama vs Arize Phoenix: agent forensics that consume ML observability.
- vs · patronusPisama vs Patronus AIPisama vs Patronus: open detector pipeline that integrates with judge-as-a-service.
- vs · braintrustPisama vs BraintrustPisama vs Braintrust: failure detectors that fire inside eval workflow tooling.
- vs · galileoPisama vs GalileoPisama vs Galileo: per-detector calibration that runs alongside enterprise observability.
- vs · operamaPisama vs OperamaPisama vs Operama: shipped calibrated detectors. Action layer above the control-plane narrative.
- vs · laminarPisama vs LaminarPisama vs Laminar: calibrated failure classification alongside open-source agent observability.
- vs · raindropPisama vs RaindropPisama vs Raindrop: calibrated detectors and verified fixes under the Sentry-for-AI framing.
- vs · judgment-labsPisama vs Judgment LabsPisama vs Judgment Labs: a pre-calibrated failure taxonomy next to open-source agent evals.
- vs · latitudePisama vs LatitudePisama vs Latitude: two loops that both say self-healing, and what each one actually does.