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SPECIFICTION
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Pulsar

pulsar.ml

APISelf-hosted
Visit pulsar.ml
Spec score 6.8 #18 of 20 in Machine Learning Model Monitoring Software

What it is

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.

Spec sheet

Purpose
Pulsar monitors machine learning models in production, including data and model drift and model performance.Read 7 Oct 2026 · pulsar.ml
Audience
The maker identifies software engineers, data scientists, and machine learning engineers as users of Pulsar.Read 7 Oct 2026 · pulsar.ml
Deployment
Pulsar provides an SDK and a containerized data ingestion service for integration with a user's machine and production code.Read 7 Oct 2026 · pulsar.ml
Security
The homepage says production data is stored in a safe and reliable environment.Read 4 Oct 2026 · pulsar.ml
Support
The help center links to a quick-start guide, how-to guides, contact support, a user community, and expert help.Read 7 Oct 2026 · pulsar.ml
Maker
Rocket Science Development is identified as Pulsar.ml's maker, and its site lists an address in Longueuil, Québec, Canada.Read 7 Oct 2026 · rocketscience.one
Additional integrations
The homepage displays Flask, FastAPI, TensorFlow, Seldon, AWS, Azure, Google Cloud, and Grafana as deployment integration logos.Read 4 Oct 2026 · pulsar.ml
Alerts
Pulsar describes scheduled monitoring that can trigger standard and customized alerts when metrics reach thresholds.Read 7 Oct 2026 · pulsar.ml
Capacity
The features page says Pulsar is built to handle large volumes of ingested data without degraded performance.Read 4 Oct 2026 · pulsar.ml
Cloud marketplaces
The FAQ says Pulsar is being developed to augment Azure and AWS marketplaces.Read 4 Oct 2026 · pulsar.ml
Community edition
The site describes Pulsar as a 100% community edition.Read 7 Oct 2026 · pulsar.ml
Dashboard
Pulsar includes Grafana for visualising data drift metrics over different time ranges for user-defined features.Read 4 Oct 2026 · pulsar.ml
Data ingestion
Pulsar ingests model inputs and outputs into a time series database and supports historical and real-time data.Read 7 Oct 2026 · pulsar.ml
Database integration
The site says its current time series database integration is InfluxDB, with support for other time series databases planned.Read 7 Oct 2026 · pulsar.ml
Deployment integrations
The homepage displays Flask, FastAPI, TensorFlow Extended, Seldon, AWS, Azure, Google Cloud, and Grafana as deployment integration logos.Read 7 Oct 2026 · pulsar.ml
Drift metrics
Listed data drift metrics include Kullback-Leibler divergence, Kolmogorov-Smirnov, Levene, Wasserstein, and other statistical tests.Read 7 Oct 2026 · pulsar.ml
Expert services
Pulsar Experts are described as machine learning engineers who can help users learn Pulsar or build machine learning pipelines.Read 7 Oct 2026 · pulsar.ml
Metrics
Pulsar calculates data drift and model performance metrics using training data as a baseline.Read 4 Oct 2026 · pulsar.ml
Metrics dashboard
Pulsar includes Grafana for visualizing data drift metrics over time ranges and user-defined features.Read 7 Oct 2026 · pulsar.ml
Performance metrics
Listed performance metrics include accuracy, recall, F1 score, Brier score, mean squared error, and R2 score.Read 7 Oct 2026 · pulsar.ml

Strong points and limits

Strong points

  • Free, open-source community edition
  • Self-hosted deployment
  • Historical and real-time ingestion
  • Threshold-based standard or custom alerts
  • Grafana metrics dashboard

Limits

  • Current time-series integration is InfluxDB
  • Self-hosted deployment requires user infrastructure
  • Cloud marketplace development is still underway

Who it suits

Pulsar is intended for software engineers, data scientists, and machine learning engineers who need self-hosted production monitoring. It suits teams wanting open-source drift and performance metrics.

Verdict

Pulsar provides open-source model monitoring with ingestion, statistical drift tests, performance metrics, alerts, and Grafana visualization. Its self-hosted approach places deployment responsibility with the user.

Where Specifiction places it

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