Open source MLOps tool - AI tools
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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
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Valohai The Scalable MLOps Platform
Valohai is an MLOps platform that streamlines complex machine learning workflows with CI/CD capabilities and pipeline automation, supporting on-premises and any-cloud environments.
- Contact for Pricing
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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
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Hopsworks The AI Lakehouse for Your Data
Hopsworks is an MLOps platform and feature store that enables organizations to build, deploy, and manage AI systems with reproducibility, consistency, and scalability. It offers a unified solution for GenAI, real-time applications, and traditional machine learning.
- Freemium
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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
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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
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TensorFlow An End-to-End Open Source Machine Learning Platform
TensorFlow is an open-source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for building and deploying ML models.
- Free
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Radicalbit Your ready-to-use MLOps platform for Machine Learning, Computer Vision, and LLMs.
Radicalbit is an MLOps and AI Observability platform that accelerates deployment, serving, observability, and explainability of AI models. It offers real-time data exploration, outlier and drift detection, and model monitoring.
- Contact for Pricing
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AI Studio The Executive Layer of your ML Environment
AI Studio is a comprehensive MLOps platform that provides enterprise-level tools for machine learning governance, monitoring, and deployment. It enables companies to streamline their ML operations with real-time insights and automated workflows.
- Freemium
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VESSL AI Operationalize Full Spectrum AI & LLMs
VESSL AI provides a full-stack cloud infrastructure for AI, enabling users to train, deploy, and manage AI models and workflows with ease and efficiency.
- Usage Based
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Striveworks Chariot Build, Deploy, Monitor, and Audit ML Models at Scale
Striveworks Chariot is an MLOps platform that enables rapid building, deployment, and monitoring of machine learning models with full data and model auditability.
- Contact for Pricing
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ClearML The End-to-End Platform for AI Builders
ClearML is an open-source platform designed to accelerate the development and deployment of AI/ML and LLM models at scale, offering a complete solution for developers.
- Freemium
- From 15$
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Missing Studio An open-source AI studio for rapid development and robust deployment of production-ready generative AI.
Missing Studio is an open-source AI platform designed for developers to build and deploy generative AI applications. It offers tools for managing LLMs, optimizing performance, and ensuring reliability.
- Free
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Aptos Streamlining Model Development, Deployment, and Management for Edge ML
Aptos is a no-code MLOps toolchain designed to optimize and deploy machine learning models for low-power edge devices. It simplifies edge AI development and enhances model efficiency.
- Contact for Pricing
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MetricRule Open source granular monitoring for ML services
MetricRule is an open-source tool offering granular monitoring for machine learning models in production, tracking performance, feature drifts, and data anomalies.
- Free
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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
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UBOS Operating System for AI-native Companies
UBOS is an open-source platform to build, deploy, and manage AI applications, internal tools, and enterprise workflows. It offers a low-code/no-code environment with pre-built templates and integrations.
- Freemium
- From 39$
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Project MONAI Open-Source Frameworks for Accelerating Medical Imaging Research and Clinical Collaboration
Project MONAI is a set of open-source frameworks designed to accelerate research and clinical collaboration in medical imaging using AI.
- Free
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UbiOps Seamlessly Manage Your Private AI on Any Infrastructure.
UbiOps provides a unified interface to run AI workloads across various infrastructures, including local, hybrid, and multi-cloud environments. It simplifies AI production, reduces costs, and prevents vendor lock-in.
- Contact for Pricing
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Maslo Innovate and operate with intelligence.
Maslo is a comprehensive AI platform enabling businesses to rapidly build, deploy, and scale custom AI applications to improve systems and unlock revenue.
- Freemium
- From 4699$
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Picsellia Scale, Start, Improve Your Vision AI Application
Picsellia is an MLOps platform designed specifically for Computer Vision, enabling teams to build, train, monitor, and improve their applications.
- Contact for Pricing
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Hugging Face The AI community building the future.
Hugging Face is a collaboration platform where the machine learning community creates, discovers, and collaborates on models, datasets, and applications. It offers comprehensive tools for hosting, developing, and deploying machine learning solutions.
- Freemium
- From 9$
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Apache TVM An End to End Machine Learning Compiler Framework for CPUs, GPUs and accelerators
Apache TVM is an open-source machine learning compiler framework designed to optimize and efficiently run computations on various hardware backends, including CPUs, GPUs, and accelerators.
- Free
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