The Best Catniff Alternatives in 2026

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

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

Caffe provides an open framework for building and running deep learning models.

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

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

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

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

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

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

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

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

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

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

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.

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

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.

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

The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.

DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.

Crowdsourced AI prompts are organized into modular task patterns by Fabric, an open-source framework.

einops provides readable tensor operations for PyTorch, JAX, TensorFlow, and other frameworks.

Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.