Package Health Score

60 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

Popularity

Small

GitHub Stars: 4.43K
Forks: 640
Contributors: 160

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package winmltools, we found that it has been starred 4,429 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Feb 28, 2020
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
2
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

Inactive

Commit Frequency

Open Issues: 333
Open PR: 26
Last Release: 5 years ago
Last Commit: 23 days ago

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

An important project maintenance signal to consider for winmltools is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 160
Funding: No

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

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Package

Python Versions Compatibility: ==2.7.*, ==3.5.*, ==3.6.*

Age: 7 years
Latest Release: 5 years ago
Dependencies: 5 Direct / 21 Total
Versions: 12
Maintainers: 5
Wheels: OS Independent

Readme

WinMLTools provide following tools for Windows ML:

Model Conversion

WinMLTools enables you to convert models from different machine learning toolkits into ONNX for use with Windows ML. Currently the following toolkits are supported:

apple CoreML
keras
scikit-learn
lightgbm
xgboost
libSVM
tensorflow (experimental)

Here is a simple example to convert a Core ML model:

from coremltools.models.utils import load_spec
from winmltools import convert_coreml
model_coreml = load_spec('example.mlmodel')
model_onnx = convert_coreml(model_coreml, 10, name='ExampleModel')

Post Training Weight Quantization

WinMLTools provides quantization tool to reduce the memory footprint of the model.

Here is an example to convert an ONNX model to a quantized ONNX model:

import winmltools

model = winmltools.load_model('model.onnx')
quantized_model = winmltools.quantize(model, per_channel=True, nbits=8, use_dequantize_linear=True)
winmltools.save_model(quantized_model, 'quantized.onnx')

Dependencies

In order to convert from different toolkits, you may have to install the following packages for different converters:

Toolkit	Source
keras	https://pypi.org/project/Keras
tensorflow	https://pypi.org/project/tensorflow
scikit-learn	https://pypi.org/project/scikit-learn
lightgbm	https://pypi.org/project/lightgbm
xgboost	https://pypi.org/project/xgboost
libsvm	You can download libsvm wheel from various web sources. One example can be found here: https://www.lfd.uci.edu/~gohlke/pythonlibs/#libsvm
coremltools	Currenlty coreml does not distribute coreml packaging on windows. You can install from source: pip install git+https://github.com/apple/coremltools

For more information on WinMLTools, you can go to Convert ML models to ONNX with WinMLTools

License

MIT License

winmltools dependencies

numpy onnx onnxmltools protobuf tf2onnx

FAQs

What is winmltools?

Converts Machine Learning models to ONNX for use in Windows ML. Visit Snyk Advisor to see a full health score report for winmltools, including popularity, security, maintenance & community analysis.

Is winmltools popular?

The python package winmltools receives a total of 86 weekly downloads. As such, winmltools popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is winmltools well maintained?

We found indications that winmltools is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is winmltools safe to use?

While scanning the latest version of winmltools, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 12 November-2024, at 09:50 (UTC).

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winmltools

Converts Machine Learning models to ONNX for use in Windows ML For more information about how to use this package see README

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Readme

Model Conversion

Post Training Weight Quantization

Dependencies

License

winmltools dependencies

FAQs

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Is winmltools safe to use?

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Readme

Model Conversion

Post Training Weight Quantization

Dependencies

License

winmltools dependencies

FAQs

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Is winmltools popular?

Is winmltools well maintained?

Is winmltools safe to use?

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Source Code

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