Best AI Frameworks in 2026

Machine learning and LLM development frameworks. We hand-picked 25 tools in this category.

Apache MXNet — AI Framework (alternatives)
AutoGen — Microsoft's open multi-agent conversation framework (alternatives)
Caffe — AI Framework (alternatives)
DL4J — AI Framework (alternatives)
DSPy — Program—rather than prompt—LLM systems, from Stanford (alternatives)
Haystack — deepset's production-grade open LLM orchestration framework (alternatives)
JAX — AI Framework (alternatives)
Keras — AI Framework (alternatives)
Label Studio — AI Framework (alternatives)
LangChain — The most popular LLM app framework, with LangGraph agent orchestration (alternatives)
Leap — AI Framework (alternatives)
Lightning AI — AI Framework (alternatives)
LlamaIndex — Data framework connecting your data to LLMs, the RAG default (alternatives)
LM Studio — Desktop app for running local LLMs with a friendly GUI (alternatives)
MLflow — Open-source machine learning lifecycle management (alternatives)
MLX — AI Framework (alternatives)
NLTK — AI Framework (alternatives)
NumPy — AI Framework (alternatives)
PyTorch — AI Framework (alternatives)
Scikit-learn — AI Framework (alternatives)
TensorFlow — Google's open-source machine learning framework (alternatives)
Vercel AI SDK — AI Framework (alternatives)
Weights & Biases — ML experiment tracking and LLM observability platform (alternatives)
昇思MindSpore — AI Framework (alternatives)
飞桨PaddlePaddle — AI Framework (alternatives)