Package Health Score

51 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

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invincible
39

Popularity

Small

GitHub Stars: 283
Forks: 63
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nimbusml, we found that it has been starred 283 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 18, 2020
Direct Vulnerabilities: 0
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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

Security Policy

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Maintenance

Inactive

archived

Commit Frequency

No Recent Commits

Open Issues: 76
Open PR: 5
Last Release: 4 years ago
Last Commit: 4 years ago

Further analysis of the maintenance status of nimbusml 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 nimbusml 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.

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: 20
Funding: No

With more than 10 contributors for the nimbusml repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >3.5.*, <3.9.*

Age: 5 years
Latest Release: 4 years ago
Dependencies: 5 Direct / 11 Total
Versions: 12
Maintainers: 2
Wheels: Linux, macOS, Windows

Readme

NimbusML

nimbusml is a Python module that provides Python bindings for ML.NET.

nimbusml aims to enable data science teams that are more familiar with Python to take advantage of ML.NET's functionality and performance. It provides battle-tested, state-of-the-art ML algorithms, transforms, and components. The components are authored by the team members, as well as numerous contributors from MSR, CISL, Bing, and other teams at Microsoft.

nimbusml is interoperable with scikit-learn estimators and transforms, while adding a suite of fast, highly optimized, and scalable algorithms written in C++ and C#. nimbusml trainers and transforms support the following data structures for the fit() and transform() methods:

numpy.ndarray
scipy.sparse_cst
pandas.DataFrame.

In addition, nimbusml also supports streaming from files without loading the dataset into memory with FileDataStream, which allows training on data significantly exceeding memory.

With FileDataStream, nimbusml is able to handle up to a billion features and billions of training examples for select algorithms.

For more details, please refer to the documentation: .

Third party notices

nimbusml contains ML.NET binaries and the .NET Core CLR runtime, as well as their dependencies. Both ML.NET and .NET Core CLR are made available under the MIT license. Please refer to the third party notices for full licensing information for ML.NET and .NET Core CLR.

nimbusml dependencies

dotnetcore2 numpy pandas scikit-learn scipy

FAQs

What is nimbusml?

NimbusML. Visit Snyk Advisor to see a full health score report for nimbusml, including popularity, security, maintenance & community analysis.

Is nimbusml popular?

The python package nimbusml receives a total of 2,857 weekly downloads. As such, nimbusml popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nimbusml well maintained?

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

Is nimbusml safe to use?

While scanning the latest version of nimbusml, 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 5 October-2024, at 11:14 (UTC).

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NimbusML For more information about how to use this package see README

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