The Best confident-ai/deepeval Alternatives in 2026

PromptSite provides prompt version management for tracking, experimentation, and debugging LLM prompts.

OneCompression is a Python package for compressing large language models.

OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.

This repository contains utilities intended for use with Llama models.

Semantic Cache Router presents a distributed semantic cache and stateful routing system.

Notte provides cloud browser infrastructure and web automation for AI and coding agents.

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

LiteLLM provides a way to call more than 100 language models through an OpenAI-compatible interface.

Chutes provides serverless compute for deploying, running, and scaling AI models through its platform and API.

Glide provides an open model gateway for developing production generative AI applications.

Ollama runs language models locally and provides tools to work with model files and APIs.

Manifest connects AI agents and tools to multiple model providers through an LLM gateway.

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

Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.

OpenModelZ scales LLM inference on Kubernetes with engines including vLLM, SGLang, and LMDeploy.

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

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

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

FATE supports federated learning through an industrial grade framework.

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

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

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

The abso TypeScript SDK calls more than 100 LLM providers through an OpenAI compatible format.

MLflow helps teams build AI products by debugging, evaluating, monitoring, and improving AI applications.