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pytorch-lightning

Lightning-AI/pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

GitHub Website

GraphCanon updated Sep 27, 2026 · GitHub synced Sep 27, 2026

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31k stars3.8k forksLast push Sep 21, 2026 Python Apache-2.0

Decision brief

PyTorch Lightning scales PyTorch models across GPUs with minimal code changes.

Good fit when

Scalable ML model training with consistent API across single to multiple GPUs
Zero-code-change requirement when expanding from one GPU to many, including up to 10,000+ GPUs

Avoid when

For lightweight models requiring minimal configuration or manual control over model distribution
Projects that target environments without access to multi-GPU setups and do not require scalability features

Observed Jul 12, 2026 · Source: enrich:decision_facts

pytorch-lightning alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (5d since push); As of Sep 27, 2026
Provenance: Not a fork · Organization account; As of Sep 27, 2026
Security (OSV): No criticals; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install pytorch-lightning

PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

pytorch

PyTorch Lightning is a tool designed to work seamlessly with PyTorch, providing an easier method for training and scaling deep learning models.

integrates

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

openpi

Repository for running AI models with GPU requirements specified for inference and fine-tuning.

14k★

litgpt

High-performance LLMs for pretraining, finetuning, and deployment

14k★

accelerate

A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.

9.9k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A framework for training and serving machine learning models, supporting PyTorch models to scale with ease on multiple GPUs.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 27, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 27, 2026)

pip install lightning

Source link

README

Quick start Install Lightning: <details <summary Advanced install options</summary Install with optional dependencies Conda Install stable version Install future release from the source Install bleeding edge Install nightly from the source (no guarantees) or from testing PyPI </d...

For agents

This page has a .md twin and JSON over the API.

/tools/lightning-ai-pytorch-lightning.md GET /api/graphcanon/tools/lightning-ai-pytorch-lightning GET /api/graphcanon/graph?tool=lightning-ai-pytorch-lightning