pytorch-lightning VS metaflow

Compare pytorch-lightning vs metaflow and see what are their differences.

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. (by PyTorchLightning)
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pytorch-lightning metaflow
12 7
16,408 5,009
3.5% 4.2%
9.9 9.2
3 days ago 5 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pytorch-lightning

Posts with mentions or reviews of pytorch-lightning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-18.

metaflow

Posts with mentions or reviews of metaflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-02.

What are some alternatives?

When comparing pytorch-lightning and metaflow you can also consider the following projects:

detectron2 - Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

mmdetection - OpenMMLab Detection Toolbox and Benchmark

pytorch-grad-cam - Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

flyte - Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

pytorch-forecasting - Time series forecasting with PyTorch

guildai - Experiment tracking, ML developer tools

clearml - ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

tmux - tmux source code

kedro-great - The easiest way to integrate Kedro and Great Expectations

example-get-started - Get started DVC project

omegaconf - Flexible Python configuration system. The last one you will ever need.