Package profile

lightning

Summary: The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
Author: Lightning AI et al.
License: Apache Software License
Homepage: https://github.com/Lightning-AI/lightning
Documentation: https://lightning.ai/lightning-docs
Source: https://github.com/Lightning-AI/pytorch-lightning
Number of releases: 172
First release: 1.8.0rc1 on 2022-10-27
Latest release: 2.6.6 on 2026-09-10
Latest release size: 828.7 KB (pure Python wheel)

10 known vulnerabilitiesLatest: PYSEC-2026-3972 — PyTorch Lightning load_from_checkpoint has an insecure checkpoint deserialization View all →

Appears in:The Python packages whose English Wikipedia page was most viewed in 2024 The Python packages with the highest Wikipedia word counts

Releases

PyPI Downloads

Source: ClickPy

Dependencies

Lightning has 43 dependencies, 34 of which optional.

View all 43 dependencies →

Dependent packages

Packages depending on lightning (14).
Package	Optional	Group
espnet	false
litgpt	false
matgl	false
nequip	false
pytorch-forecasting	false

View all 14 dependent packages →

Similar packages

mxnetApache MXNet is an ultra-scalable deep learning framework. This version uses openblas and MKLDNN.
tf-keras-nightlyDeep learning for humans.
tf-kerasDeep learning for humans.
einopsA new flavour of deep learning operations
tritonA language and compiler for custom Deep Learning operations
tensorflowonsparkDeep learning with TensorFlow on Apache Spark clusters
metaflowMetaflow: More AI and ML, Less Engineering

Package profile

Package profile

lightning

Releases

PyPI Downloads

Dependencies

Dependent packages

Similar packages

Details

Details

lightning

Releases

PyPI Downloads

Similar packages

Dependencies

Dependent packages

Package profile

Package profile

lightning

Releases

Release table

PyPI Downloads

Dependencies

Dependent packages

Similar packages

Details

Package description

Details

Package description

lightning

Releases

Release table

PyPI Downloads

Similar packages

Dependencies

Dependent packages