The Best Caffe Alternatives in 2026

Catniff provides JavaScript developers with a Torch-like deep learning framework.

Build machine learning applications with Delta, an open-source framework implemented in Rust.

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

Deep learning in Rust, with shape checked tensors and neural networks.

Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.

The cONNXr project provides a pure C runtime for ONNX models intended for embedded devices.

Infer.NET runs Bayesian inference in graphical models for a range of machine learning problems.

Cortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production.

Tensors and Dynamic neural networks in Python with strong GPU acceleration.

Espresso AI uses machine learning to optimize Snowflake and Databricks data warehouses and reduce query and infrastructure costs.

DyNet provides tools for building dynamic neural networks and deep learning models.

DJL is a Java framework for running deep learning models across different engines.

Candle provides a minimalist Rust framework for machine learning model development and execution tasks.

N2D2 provides an open source CAD framework for deep neural network simulation and application building.

PaddlePaddle provides a deep learning framework for training models across devices and platforms.

Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.

Stakpak runs an agent on a machine to ship code and keep applications running.

oneDNN provides a library of optimized deep neural network operations for oneAPI.

The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines.

Guardrails AI provides a framework for building, governing, and deploying reliability controls for generative AI systems.

Forefront provides a platform for fine tuning and running inference with open source language models.

Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.

Groq provides cloud infrastructure and developer APIs for running AI model inference.

Burn provides a flexible, efficient, and portable tensor library for building deep learning applications.