View distributed on Snyk Open Source Advisor

Package Health Score

88 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Sustainable
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 1.58K
Forks: 719
Contributors: 310

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package distributed, we found that it has been starred 1,582 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 17, 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

Sustainable

Commit Frequency

Open Issues: 1.26K
Open PR: 317
Last Release: 4 days ago
Last Commit: 8 days ago

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

We found that distributed 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 310
Funding: Yes

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

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Package

Python Versions Compatibility: >=3.10

Age: 9 years
Latest Release: 4 days ago
Dependencies: 0 Direct
Versions: 244
Maintainers: 0
Wheels: OS Independent

Not sure how to use distributed?

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

dask / dask-yarn / dask_yarn / cli / dask_yarn_scheduler.py View on Github

enable_proctitle_on_current()
    enable_proctitle_on_children()

    if sys.platform.startswith('linux'):
        import resource   # module fails importing on Windows
        soft, hard = resource.getrlimit(resource.RLIMIT_NOFILE)
        limit = max(soft, hard // 2)
        resource.setrlimit(resource.RLIMIT_NOFILE, (limit, hard))

    addr = uri_from_host_port('', None, 0)

    loop = IOLoop.current()

    services = {}
    bokeh = False
    with ignoring(ImportError):
        from distributed.bokeh.scheduler import BokehScheduler
        services[('bokeh', 0)] = (BokehScheduler, {})
        bokeh = True

    scheduler = Scheduler(loop=loop, services=services)
    scheduler.start(addr)

    install_signal_handlers(loop)

    app_client.kv['dask.scheduler'] = scheduler.address.encode()

    if bokeh:
        bokeh_port = scheduler.services['bokeh'].port
        bokeh_host = urlparse(scheduler.address).hostname
        bokeh_address = 'http://%s:%d' % (bokeh_host, bokeh_port)

View more ways to use distributed

FAQs

What is distributed?

Distributed scheduler for Dask. Visit Snyk Advisor to see a full health score report for distributed, including popularity, security, maintenance & community analysis.

Is distributed popular?

The python package distributed receives a total of 1,376,616 weekly downloads. As such, distributed popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is distributed well maintained?

We found indications that distributed maintenance is sustainable demonstrating some project activity. We saw a total of 310 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is distributed safe to use?

The python package distributed 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 20 December-2024, at 22:55 (UTC).

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distributed

Distributed scheduler for Dask For more information about how to use this package see README

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Distributed

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