MetricRule - Alternatives & Competitors

Ranked by Relevance

• 1
  Superwise ML Model Observability Platform

  Superwise provides comprehensive ML observability to monitor, analyze, and maintain the health of machine learning models in production.

  • Freemium
• 2
  MLflow ML and GenAI made simple

  MLflow is an open-source, end-to-end MLOps platform for building better models and generative AI apps. It simplifies complex ML and generative AI projects, offering comprehensive management from development to production.

  • Free
• 3
  FastML Simplify your ML workflow, maximize your impact.

  FastML is an MLOps boilerplate designed to streamline machine learning workflows. It offers ready-to-use scripts for data handling, modeling, and deployment, accelerating the process of turning ML ideas into reality.

  • Pay Once
• 4
  Censius End-to-end AI observability platform for reliable and trustworthy ML models

  Censius is an AI observability platform that provides automated monitoring, proactive troubleshooting, and model explainability tools to help organizations build and maintain reliable machine learning models throughout their lifecycle.

  • Free Trial
• 5
  Mona Model Monitoring for Reliable, Scalable Data-Driven Systems

  Mona provides a Model Performance Insights Platform™ for proactive monitoring of AI, ML, and other data-driven systems in high-stakes environments.

  • Contact for Pricing
• 6
  Metaflow A Framework for Real-Life ML, AI, and Data Science

  Metaflow is an open-source framework that simplifies the building and management of machine learning, AI, and data science projects. It provides tools for versioning, orchestration, and scaling compute resources.

  • Free
• 7
  Openlayer The evaluation workspace for machine learning

  Openlayer provides a secure, SOC 2 Type 2 compliant platform for testing, evaluation, and observability of machine learning models. With its seamless, 60-second onboarding and commit-style versioning, it makes data-driven ML evaluation painless and effective.

  • Contact for Pricing
  • API
• 8
  Nyckel Build ML models without a PhD

  Nyckel is a platform that enables rapid development and deployment of custom machine learning models with high accuracy and security, requiring no advanced ML expertise.

  • Contact for Pricing
• 9
  Kubeflow The Machine Learning Toolkit for Kubernetes

  Kubeflow is an open-source toolkit designed to make deploying, managing, and scaling machine learning workflows on Kubernetes simple and portable.

  • Free
• 10
  BigML Machine Learning made beautifully simple for everyone

  BigML is a comprehensive Machine Learning platform designed to simplify and automate tasks like classification, regression, time series forecasting, and more. It offers an accessible interface for building and deploying ML models.

  • Freemium
• 11
  HostedMetrics Hassle-Free, Fully Hosted Monitoring for Servers, Apps, and IoT

  HostedMetrics delivers a fully managed platform for monitoring the performance and health of your software infrastructure, applications, and IoT devices, leveraging leading open-source technologies like Prometheus, InfluxDB, and Grafana.

  • Free Trial
  • From 95$
• 12
  KloudMate Unified Observability and Monitoring for Cloud Microservices

  KloudMate is an observability platform delivering advanced monitoring, anomaly detection, and debugging for microservices and cloud infrastructure using AI-powered analytics.

  • Usage Based
  • From 60$