The Best FATE Alternatives in 2026

The linfa project provides a machine learning framework written in Rust.

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

The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.

MLX provides an array computing framework designed for Apple silicon devices.

QKeras provides quantization tools for deep learning with TensorFlow Keras.

Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.

The fuku-ml project provides a machine learning library described as simple to use.

ClearML combines experiment and data management, pipelines, scheduling, orchestration, and model serving for AI workloads.

Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.

ClearML manages AI experiments, data, pipelines, orchestration, scheduling, and model serving in one MLOps platform.

PyTorch Ignite provides a high level library for flexibly training and evaluating neural networks.

BentoML helps build and serve AI apps and models through inference APIs, job queues, and multi-model pipelines.

Cascade supports MLOps workflows for smaller projects without a full platform.

Flower provides a federated AI framework for machine learning projects.

Maze provides an applied reinforcement learning framework for developing projects in Python.

List of awesome compiler projects and papers for tensor computation and deep learning.

ModelFox supports training, deployment, and monitoring for machine learning models.

This repository contains machine learning code examples that use Comet.ml.

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

The Datumbox framework is written in Java for developing machine learning and statistical applications.

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

Hypernets offers a general automated machine learning framework for developing end to end AutoML toolkits in specific domains.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

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