Deploy Machine Learning Models Tools

TensorFlow

Machine Learning

An end-to-end open source platform for machine learning.

fairseq

Machine Learning

A sequence modeling toolkit for research and production.

Ray

General AI

Ray is an open-source AI compute engine for scaling AI and Python applications.

TensorFlow.NET

General AI

.NET Standard bindings for Google's TensorFlow, enabling C# and F# developers to build, train, and deploy machine learning models.

Seldon Core

MLOps

Real-time machine learning deployment with enhanced observability for any AI application or system, managed your way.

Baseten

Development

Serverless infrastructure for high-performance ML model inference and deployment.

Amazon SageMaker

Development

A fully managed machine learning service to build, train, and deploy ML models with fully managed infrastructure, tools, and workflows.

Metaflow

MLOps

The Pythonic framework for high-scale data science and MLOps orchestration.

MLflow

MLOps

The open-source standard for the complete machine learning lifecycle and LLM management.

MLReef

MLOps

The Open-Source Collaborative MLOps Platform for Reproducible Machine Learning.

Plotly Dash

Data Visualization

Build and deploy production-grade AI and data science web applications in pure Python.

PostgresML

Machine Learning

PostgresML is a Postgres extension that enables you to run machine learning models directly within your database.

Replicate

Machine Learning

Run and fine-tune machine learning models with a production-ready API.

Streamlit

Data Science

The fastest way to build and share data apps.

Hydrosphere

MLOps

Open-source MLOps platform for automated model serving, monitoring, and explainability in production.

ClearML

General AI

The infrastructure platform for AI builders, maximizing AI potential at enterprise scale.

Cloudera AI

Development

Build, deploy, and govern all types of AI across all your data with enterprise-grade security and scalability.

DataNectar

Development

Architecting Enterprise AI and Scalable Data Ecosystems for the Agentic Era.

Le Wagon

EdTech

Mastering the AI-Native Engineering Stack for the 2026 Economy

Obviously AI

Machine Learning Platform

Build and deploy high-accuracy machine learning models in minutes without writing a single line of code.