View bigdl on Snyk Open Source Advisor

Package Health Score

62 / 100

security
Security review needed
popularity
Popular
maintenance
Inactive
community
Active

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Popularity

Popular

GitHub Stars: 6.83K
Forks: 1.27K
Contributors: 110

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package bigdl, we found that it has been starred 6,832 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Nov 9, 2023
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

Apache-2.0

Security Policy

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 1.02K
Open PR: 278
Last Release: 1 year ago
Last Commit: 2 days ago

Further analysis of the maintenance status of bigdl 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 bigdl 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: No
Code of Conduct: No
Contributors: 110
Funding: No

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

We found a way for you to contribute to the project! Looks like bigdl is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.6.*, ==3.7.*

Age: 7 years
Latest Release: 9 months ago
Dependencies: 5 Direct / 42 Total
Versions: 709
Maintainers: 0
Wheels: Linux, macOS

Not sure how to use bigdl?

To help you get started, we've collected the most common ways that bigdl is being used within popular public projects.

intel-analytics / BigDL / pyspark / bigdl / dataset / movielens.py View on Github

def read_data_sets(data_dir):
    """
    Parse or download movielens 1m  data if train_dir is empty.

    :param data_dir: The directory storing the movielens data
    :return: a 2D numpy array with user index and item index in each row 
    """
    WHOLE_DATA = 'ml-1m.zip'
    local_file = base.maybe_download(WHOLE_DATA, data_dir, SOURCE_URL + WHOLE_DATA)
    zip_ref = zipfile.ZipFile(local_file, 'r')
    extracted_to = os.path.join(data_dir, "ml-1m")
    if not os.path.exists(extracted_to):
        print("Extracting %s to %s" % (local_file, data_dir))
        zip_ref.extractall(data_dir)
        zip_ref.close()
    rating_files = os.path.join(extracted_to,"ratings.dat")

    rating_list = [i.strip().split("::") for i in open(rating_files,"r").readlines()]    
    movielens_data = np.array(rating_list).astype(int)
    return movielens_data

View more ways to use bigdl

bigdl dependencies

bigdl-chronos bigdl-friesian bigdl-nano bigdl-orca bigdl-serving

FAQs

What is bigdl?

Building Large-Scale AI Applications for Distributed Big Data. Visit Snyk Advisor to see a full health score report for bigdl, including popularity, security, maintenance & community analysis.

Is bigdl popular?

The python package bigdl receives a total of 13,783 weekly downloads. As such, bigdl popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is bigdl well maintained?

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

Is bigdl safe to use?

While scanning the latest version of bigdl, 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 25 December-2024, at 11:57 (UTC).

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bigdl

Building Large-Scale AI Applications for Distributed Big Data For more information about how to use this package see README

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bigdl dependencies

FAQs

What is bigdl?

Is bigdl popular?

Is bigdl well maintained?

Is bigdl safe to use?

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Source Code

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