Package Health Score

84 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

Popularity

Small

GitHub Stars: 16.11K
Forks: 6.94K
Contributors: 450

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package lightly-train, we found that it has been starred 16,111 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 6, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 803
Open PR: 216
Last Release: 18 days ago
Last Commit: 1 month ago

Further analysis of the maintenance status of lightly-train based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that lightly-train demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 450
Funding: No

A good and healthy external contribution signal for lightly-train project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.8

Age: 6 months
Latest Release: 18 days ago
Dependencies: 0 Direct
Versions: 10
Maintainers: 1
Wheels: OS Independent

Readme

LightlyTrain

Train models with self-supervised learning in a single command

Why LightlyTrain

LightlyTrain uses self-supervised learning (SSL) to train models on large datasets without the need for labels. It provides simple Python, Command Line, and Docker interfaces to train models with popular SSL methods such as SimCLR or DINO. The trained models are ideal starting points for fine-tuning on downstream tasks such as image classification, object detection, and segmentation or for generating image embeddings. Models trained with LightlyTrain result in improved performance, faster convergence, and better generalization compared to models trained without SSL. Image embeddings created with LightlyTrain capture more relevant information than their supervised counterparts and seamlessly extend to new classes due to the unsupervised nature of SSL.

Lightly is the expert in SSL for computer vision and developed LightlyTrain to simplify model training for any task and dataset.

Features

Train models on any image data without labels
Train models from popular libraries such as torchvision, TIMM, Ultralytics, and SuperGradients
Train custom models
No SSL expertise required
Automatic SSL method selection (soon!)
Python, Command Line, and Docker support
Multi-GPU and multi-node (soon!) support
Export models for fine-tuning or inference
Generate and export image embeddings
Monitor training progress with TensorBoard, Weights & Biases, Neptune, etc. (soon!)

License

LightlyTrain is available under an AGPL-3.0 and a commercial license. Please contact us at info@lightly.ai for more information.

Contact

FAQs

What is lightly-train?

Train models with self-supervised learning in a single command. Visit Snyk Advisor to see a full health score report for lightly-train, including popularity, security, maintenance & community analysis.

Is lightly-train popular?

We’re still processing downloads data for the python package lightly-train. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is lightly-train well maintained?

We found that lightly-train demonstrated a healthy version release cadence and project activity. It has a community of 450 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is lightly-train safe to use?

The python package lightly-train was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 22 November-2024, at 23:02 (UTC).

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lightly-train

Train models with self-supervised learning in a single command For more information about how to use this package see README

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Package Health Score

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LightlyTrain

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Package Health Score

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Readme

LightlyTrain

Why LightlyTrain

Features

License

Contact

FAQs

What is lightly-train?

Is lightly-train popular?

Is lightly-train well maintained?

Is lightly-train safe to use?

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Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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