The Best delta Alternatives in 2026

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

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.

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

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.

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

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

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

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.

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

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

Tensorforce provides a TensorFlow library for applied reinforcement learning tasks.

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

Build neural networks and support machine learning research with Sonnet, a library based on TensorFlow.

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.