Package Health Score

69 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Sustainable

Popularity

Limited

GitHub Stars: 144
Forks: 12
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package megatron-energon, we found that it has been starred 144 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 19, 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: 10
Open PR: 3
Last Release: 1 month ago
Last Commit: 23 days ago

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

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

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 9 months
Latest Release: 1 month ago
Dependencies: 8 Direct
Versions: 8
Maintainers: 0
Wheels: OS Independent

Readme

Megatron's multi-modal data loader

Megatron Energon

Report Bug · Request Feature

DISCLAIMER: This package contains research code. APIs may change.

What is this?

Megatron Energon is the multi-modal data loader of Megatron (you can also use it independently).

It's best at

loading large training data to train large multi-modal models
blending many different datasets together
distributing the work across many nodes and processes of a cluster
ensuring reproducibility and resumability
adapting easily to various types of data samples and processing

Try using it together with Megatron Core.

Quickstart

Megatron Energon is a pip-installable python package that offers

dataset-related classes that you can import in your project
a command line utility for data preprocessing and conversion

This document is just a quick start. Please also check out the documentation.

Installation

pip install megatron-energon

pip install git+https://github.com/NVIDIA/Megatron-Energon.git

NOTE: We encourage you to install the package (and not just import a local copy). This will ensure you have all the needed dependencies and that you can use the command line tool.

For more details on installing this package, see here.

Usage of command line tool

After installation, the command energon will be available.

Here are some examples for things you can do:

Command	Description
`energon prepare DATASET_ROOT`	Take an existing WebDataset and add the required yaml files to turn it into an energon-compatible dataset
`energon lint DATASET_ROOT`	Verify that the dataset complies with the energon dataset format and that all samples are loadable

Usage of the library

To get started, pick a WebDataset-compliant dataset and run energon prepare DATASET_ROOT on it, to run the interactive assistant and create the .nv-meta folder.

Once done, try to load it from your Python program:

from megatron.energon import get_train_dataset, get_loader


train_loader = get_loader(get_train_dataset(
    '/my/dataset/path',
    batch_size=32,
    shuffle_buffer_size=None,
    max_samples_per_sequence=None,
))

for batch in train_loader:
    # Do something with batch
    # Infer, gradient step, ...
    pass

For more details, read the documentation.

Most likely, you'll need your own task encoder.

megatron-energon dependencies

braceexpand click numpy pyyaml s3fs torch tqdm webdataset

FAQs

What is megatron-energon?

Megatron's multi-modal data loader. Visit Snyk Advisor to see a full health score report for megatron-energon, including popularity, security, maintenance & community analysis.

Is megatron-energon popular?

The python package megatron-energon receives a total of 189 weekly downloads. As such, megatron-energon popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is megatron-energon well maintained?

We found that megatron-energon demonstrated a healthy version release cadence and project activity. It has a community of 3 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is megatron-energon safe to use?

The python package megatron-energon 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 19 December-2024, at 14:54 (UTC).

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megatron-energon

Megatron's multi-modal data loader For more information about how to use this package see README

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Package Health Score

Popularity

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Security

Security and license risk for latest version

Maintenance

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Community

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Package

Readme

Megatron's multi-modal data loader

Megatron Energon

What is this?

Quickstart

Installation

Usage of command line tool

Usage of the library

megatron-energon dependencies

FAQs

What is megatron-energon?

Is megatron-energon popular?

Is megatron-energon well maintained?

Is megatron-energon safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Megatron's multi-modal data loader

Megatron Energon

What is this?

Quickstart

Installation

Usage of command line tool

Usage of the library

megatron-energon dependencies

FAQs

What is megatron-energon?

Is megatron-energon popular?

Is megatron-energon well maintained?

Is megatron-energon safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues