Package Health Score

72 / 100

security
Security review needed
popularity
Small
maintenance
Healthy
community
Active

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fas
36

Popularity

Small

GitHub Stars: 8.27K
Forks: 774
Contributors: 100

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package metaflow-suanpan, we found that it has been starred 8,265 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Sep 30, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
H
1
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 244
Open PR: 95
Last Release: 2 months ago
Last Commit: 12 days ago

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

We found that metaflow-suanpan 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: 100
Funding: No

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

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

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.12.*, ==3.5.*, ==3.6.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 2 months
Latest Release: 2 months ago
Dependencies: 2 Direct / 11 Total
Versions: 3
Maintainers: 1
Wheels: OS Independent

Readme

Metaflow_Logo_Horizontal_FullColor_Ribbon_Dark_RGB

Metaflow

Metaflow is a human-friendly library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.

For more information, see Metaflow's website and documentation.

From prototype to production (and back)

Metaflow provides a simple, friendly API that covers foundational needs of ML, AI, and data science projects:

Rapid local prototyping, support for notebooks, and built-in experiment tracking and versioning.
Horizontal and vertical scalability to the cloud, utilizing both CPUs and GPUs, and fast data access.
Managing dependencies and one-click deployments to highly available production orchestrators.

Getting started

Getting up and running is easy. If you don't know where to start, Metaflow sandbox will have you running and exploring Metaflow in seconds.

Installing Metaflow in your Python environment

To install Metaflow in your local environment, you can install from PyPi:

pip install metaflow

Alternatively, you can also install from conda-forge:

conda install -c conda-forge metaflow

If you are eager to try out Metaflow in practice, you can start with the tutorial. After the tutorial, you can learn more about how Metaflow works here.

Deploying infrastructure for Metaflow in your cloud

While you can get started with Metaflow easily on your laptop, the main benefits of Metaflow lie in its ability to scale out to external compute clusters and to deploy to production-grade workflow orchestrators. To benefit from these features, follow this guide to configure Metaflow and the infrastructure behind it appropriately.

Resources

Slack Community

An active community of thousands of data scientists and ML engineers discussing the ins-and-outs of applied machine learning.

Tutorials

Introduction to Metaflow
Natural Language Processing with Metaflow
Computer Vision with Metaflow
Recommender Systems with Metaflow
And more advanced content here

Generative AI and LLM use cases

Get in touch

There are several ways to get in touch with us:

Contributing

We welcome contributions to Metaflow. Please see our contribution guide for more details.

打包和推送到pypi

python setup.py bdist_wheel --universal twine upload dist/*

使用suanpan plugin

python -m metaflow.tutorials.00-helloworld.helloworld --package-suffixes .yaml suanpan create python metaflow/tutorials/00-helloworld/helloworld.py --package-suffixes .yaml suanpan create

metaflow-suanpan dependencies

boto3 requests

FAQs

What is metaflow-suanpan?

Metaflow with suanpan plugin, based on metaflow 2.12.22. Visit Snyk Advisor to see a full health score report for metaflow-suanpan, including popularity, security, maintenance & community analysis.

Is metaflow-suanpan popular?

We’re still processing downloads data for the python package metaflow-suanpan. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is metaflow-suanpan well maintained?

We found that metaflow-suanpan demonstrated a healthy version release cadence and project activity. It has a community of 100 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is metaflow-suanpan safe to use?

While scanning the latest version of metaflow-suanpan, 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 24 November-2024, at 23:14 (UTC).

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