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Pulsar

Free plan APISelf-hosted

What Pulsar is

Pulsar is an open-source, self-hosted tool for monitoring machine learning models in production. It tracks model drift, concept drift, and model performance, using training data as the baseline for its metrics. An SDK and a containerised ingestion service bring model inputs and outputs into a time series database, with support for historical and real-time data. Its current database integration is InfluxDB, and the product is built to handle large volumes of ingested data without degraded performance.

A scheduler checks drift and can trigger standard or customised alerts when metrics reach set thresholds. Pulsar includes Grafana to display drift measures over selected time ranges and user-defined features. Drift measures include Kullback-Leibler divergence, Kolmogorov-Smirnov, Levene, and Wasserstein tests, along with other statistical tests. Performance measures include accuracy, recall, F1 score, Brier score, mean squared error, and R2 score. The homepage displays deployment integration logos for Flask, FastAPI, TensorFlow Extended, Seldon, AWS, Azure, Google Cloud, and Grafana. Pulsar is described as a community edition. Its help center offers a quick-start guide, guides for creating and managing Pulses, contact support, expert help, and a user community. Rocket Science Development is identified as its maker.

Who it suits

Pulsar suits software engineers, data scientists, and machine learning engineers who need to monitor models after deployment. It is a fit for teams that can use a self-hosted deployment and want drift and model performance metrics, threshold alerts, and a Grafana dashboard.

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.
Offers an SDK and containerised ingestion service.

What to know first

Self-hosted deployment requires integration into a user's machine.
The current time series database integration is InfluxDB.

Getting started

Visit the Pulsar website.
Choose the self-hosted deployment route.
Use the SDK or containerised data ingestion service to integrate Pulsar into your machine.
Connect model inputs and outputs to its InfluxDB integration.
Use the help center's quick-start guide to begin.

Verdict

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.

Questions

Is Pulsar free?

Yes. It is described as a free, open-source community edition.

Where can Pulsar run?

Its listed deployment option is self-hosted, with an SDK and a containerised data ingestion service.

Which database does it integrate with?

Its current time series database integration is InfluxDB.

What does Pulsar monitor?

It monitors model drift, concept drift, and model performance, using training data as a baseline for metrics.

What metrics can it track?

Listed drift measures include Kullback-Leibler divergence, Kolmogorov-Smirnov, Levene, and Wasserstein tests. Performance measures include accuracy, recall, F1 score, Brier score, mean squared error, and R2 score.

Who makes Pulsar?

Rocket Science Development is identified as Pulsar.ml's maker.

Facts from Pulsar's own pages

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

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