Pulsar vs SUPERWISE
Pulsar
pulsar.ml
SUPERWISE
superwise.aiSide by side
| Figure | Pulsar | SUPERWISE |
|---|---|---|
| Price from | — | $9/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 12 |
| Spec score · Machine Learning Model Monitoring Software | 6.8 (#18) | 8.6 (#5) |
| Spec score · Model Monitoring Software | 6.8 (#24) | 8.6 (#9) |
| Deployment | Pulsar provides an SDK and a containerized data ingestion service for integration with a user's machine and production code. | Sentinel gateways can run with Docker, Helm, Kubernetes, Windows, or managed containers on AWS, Google Cloud and Azure. |
| Purpose | Pulsar monitors machine learning models in production, including data and model drift and model performance. | SUPERWISE AMP is an AI governance control plane between AI applications and models that observes interactions and enforces policies. |
| Support | The help center links to a quick-start guide, how-to guides, contact support, a user community, and expert help. | The Enterprise Chat tier includes dedicated support with an SLA and custom contracts and volume pricing. |
Plans
SUPERWISE
- Chat SoloFree
- Chat Professional$9 a month
- Sentinel Solo$10 a month
- Solo$10 a month
- Pro$25 a month
- Sentinel Pro$25 a month
- Chat Business$49 a month
- Business$50 a month
- Sentinel Business$50 a month
- Chat Business Plus$69 a month
In their own words
Pulsar
Pulsar is a free, open-source, self-hosted system for monitoring machine learning models in production. It tracks model drift, concept drift, and performance by comparing incoming behavior with training data used as a baseline. An SDK and containerised ingestion service collect model inputs and outputs into a time series database, supporting historical and real-time data. The current database integration is InfluxDB, and the project is designed for large ingestion volumes without degraded performance. A scheduler checks drift and can trigger standard or customised alerts when metrics reach thresholds. Grafana displays drift measures across selected time ranges and user-defined features. Available drift tests include Kullback-Leibler divergence, Kolmogorov-Smirnov, Levene, and Wasserstein; performance measures include accuracy, recall, F1 score, Brier score, mean squared error, and R2. Deployment logos cover Flask, FastAPI, TensorFlow Extended, Seldon, AWS, Azure, Google Cloud, and Grafana.
SUPERWISE
SUPERWISE AMP is an AI governance platform that sits between AI applications and models to observe interactions and apply policies. Its guardrails evaluate inputs and outputs, with policy evaluation advertised as taking under 10 ms. Agent Studio supports building, testing, and deploying agents, with governance and automated failure detection. The platform monitors operational health and drift and offers analytics, dashboards, audit trails, compliance reports, and metrics for model performance, data quality, and bias. SUPERWISE says it connects to 50+ providers, vector databases, and enterprise tools, including OpenAI, Anthropic, AWS Bedrock, LangChain, Pinecone, Snowflake, Salesforce, and Slack. It provides REST API and Python SDK access. AMP is managed SaaS by default, with connections to private, on-premises, and air-gapped environments. Sentinel inspects prompts locally and redacts secrets and personal data before they leave the machine; traffic does not pass through SUPERWISE. Plans start at $10/mo, with a 30-day trial and no free plan.