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SPECIFICTION
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Opik vs Pulsar

Opik

comet.com

Pulsar

pulsar.ml

Side by side

FigureOpikPulsar
Price from$19/mo—
Free planYes—
Free trialYes—
Open sourceYes—
WebYes—
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published40
Spec score · Machine Learning Model Monitoring Software8.8 (#4)6.8 (#18)
Spec score · Model Monitoring Software8.8 (#7)6.8 (#24)
AudienceThe pricing page describes Opik as a platform for teams building applications or agents that make calls to an LLM, and says its free plans suit development and testing.The maker identifies software engineers, data scientists, and machine learning engineers as users of Pulsar.
PurposeOpik logs agent actions and provides automated evaluation workflows to find and fix errors across development, testing, and production.Pulsar monitors machine learning models in production, including data and model drift and model performance.
SupportThe pricing page lists community and self-service support across plans, email support for Pro and Enterprise, and dedicated support and SLAs for Enterprise.The help center links to a quick-start guide, how-to guides, contact support, a user community, and expert help.

Plans

Opik

  • Free CloudFree
  • Open SourceFree
  • Pro Cloud$19 a month
  • EnterprisePriced on request

Opik pricing →

Pulsar

No plans published.

Pulsar pricing →

In their own words

Opik

Opik helps teams building applications or agents that call an LLM log actions and evaluate behavior across development, testing, and production. It captures and visualizes traces, supports annotation, and provides audit logs. Its evaluation tools include more than 30 metrics for outcomes such as answer relevance, context precision, task completion, and hallucination. In production, Opik can evaluate traces in real time, alert when criteria fail, and track token use and model costs. Test Suites offer pass/fail assertions, an Agent Playground supports end-to-end tests, and a Prompt Optimizer provides six algorithms. Core observability and evaluation features are available as open-source code for local use. Opik includes a REST API and Python client, with Python and TypeScript SDKs listed, and integrations with more than 40 frameworks, model providers, and gateways. Free Cloud allows up to 10 team members, 25,000 spans per month, and 60-day retention. Pro Cloud costs $19 a month and lists up to 50 team members and 100,000 spans monthly.

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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.

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