lightgbm.readthedocs.io · ML Frameworks
Microsoft's tree based gradient boosting framework, designed for fast training and low memory use, with parallel, distributed and GPU learning.
LightGBM is one of 20 ML framework tools on Axiomi. See all ML framework tools or how we check facts.
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The best ML frameworks for Python in 2026, ranked by job: PyTorch, scikit-learn, JAX, Keras 3, XGBoost, LightGBM, TensorFlow, MLX and more, with versions.
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XGBoostxgboost.readthedocs.ioGradient boosted decision tree library for tabular data, with a scikit learn style Python API and CUDA-accelerated training and prediction.ML FrameworksOpen source★ 28.9k
scikit-learnscikit-learn.orgPython's standard library for classical machine learning: one fit/predict interface for linear models, trees, clustering, preprocessing, cross validation and metrics.ML FrameworksOpen source★ 68k
PyTorchpytorch.orgThe dominant deep learning framework in research, with eager execution, torch.compile and a huge ecosystem.ML FrameworksOpen source★ 105.1k
Keraskeras.ioHigh level deep learning API that runs on JAX, TensorFlow or PyTorch backends.ML FrameworksOpen source★ 64.4k
Diffusershuggingface.coHugging Face's Python library of pipelines and building blocks for diffusion and flow models, covering image, video and audio generation, with LoRA training support.ML FrameworksOpen source★ 34.8k
Ollamaollama.comOpen source local model runner with a one line pull and run CLI, a desktop app and a local HTTP API. Uses llama.cpp-based and MLX engines; optional paid cloud models.ML FrameworksFreemium★ 185.1k