Side by side
FiboRisk Model Monitoring vs Pulsar
Both stand on machine learning model monitoring software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Paid Web
FiboRisk pairs model monitoring with versioned evidence and defined organizational roles. Deployment, controls, integrations, and final commercial terms are agreed for each customer environment.
Visit FiboRisk Model Monitoring Free plan APISelf-hosted
Choose Pulsar if you need a free, open-source option for monitoring production model drift and performance, with alerts and Grafana visualisation. It is best suited to teams able to deploy and integrate a self-hosted service; its listed current database integration is InfluxDB.
Visit PulsarThe facts
| FiboRisk Model Monitoring | Pulsar | |
|---|---|---|
| Free plan | No | Yes |
| Open source | Not published | Not published |
| Runs on | Web | API, Self-hosted |
| Lowest paid plan | Free or on request | Not published |
| Plans published | 1 | None |
| Maker | Not published | Not published |
| Website | fiborisk.ai | pulsar.ml |
| On machine learning model monitoring software | #18 of 19 | #12 of 19 |
FiboRisk Model Monitoring: what it does well
- Tracks performance, drift, bias, latency, and outcomes.
- Reviews bias and segments; includes alert management.
- Links evidence across datasets, policies, decisions, and reviewers.
- Evidence records are attributable and exportable within scope.
What to know first
- No free plan or free trial.
- Final pricing follows diagnostic validation and an agreed SOW.
- Production access follows model and environment acceptance.
- Integrations and related costs are scoped in the SOW.
Pulsar: what it does well
- Free, open-source community edition.
- Supports historical and real-time model input and output data.
- Tracks drift and performance against training data.
- Can alert when performance metrics reach thresholds.
- Includes a Grafana dashboard for user-defined features and time ranges.
What to know first
- Self-hosted deployment requires integration into a user's machine.
- The current time series database integration is InfluxDB.
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