View tensorflow1-fork on Snyk Open Source Advisor

Package Health Score

67 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

Popularity

Small

GitHub Stars: 186.83K
Forks: 74.37K
Contributors: 410

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tensorflow1-fork, we found that it has been starred 186,827 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 22, 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
0
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: 994
Open PR: 5.09K
Last Release: 1 year ago
Last Commit: 7 days ago

Further analysis of the maintenance status of tensorflow1-fork 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 tensorflow1-fork 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: Yes
Contributors: 410
Funding: No

A good and healthy external contribution signal for tensorflow1-fork project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: ==3.7.*

Age: 1 year
Latest Release: 1 year ago
Dependencies: N/A
Versions: 1
Maintainers: 0
Wheels: OS Independent

Readme

`Documentation`

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.

TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backwards compatible API for other languages.

Keep up-to-date with release announcements and security updates by subscribing to announce@tensorflow.org. See all the mailing lists.

Install

See the TensorFlow install guide for the pip package, to enable GPU support, use a Docker container, and build from source.

To install the current release:

$ pip install tensorflow

The tensorflow package also includes GPU support on Linux and Windows.

If package size is a concern, CPU-only packages can be installed with:

$ pip install tensorflow-cpu

Nightly binaries are available for testing using the tf-nightly and tf-nightly-gpu packages on PyPi.

Try your first TensorFlow program

$ python

&gt;&gt;&gt; import tensorflow as tf
&gt;&gt;&gt; tf.enable_eager_execution()
&gt;&gt;&gt; tf.add(1, 2).numpy()
3
&gt;&gt;&gt; hello = tf.constant('Hello, TensorFlow!')
&gt;&gt;&gt; hello.numpy()
'Hello, TensorFlow!'

For more examples, see the TensorFlow tutorials.

Contribution guidelines

If you want to contribute to TensorFlow, be sure to review the contribution guidelines. This project adheres to TensorFlow's code of conduct. By participating, you are expected to uphold this code.

We use GitHub issues for tracking requests and bugs, please see TensorFlow Discuss for general questions and discussion, and please direct specific questions to Stack Overflow.

The TensorFlow project strives to abide by generally accepted best practices in open-source software development:

Continuous build status

Official Builds

Build Type	Status	Artifacts
Linux CPU		pypi
Linux GPU		pypi
Linux XLA		TBA
MacOS		pypi
Windows CPU		pypi
Windows GPU		pypi
Android
Raspberry Pi 0 and 1		Py2 Py3
Raspberry Pi 2 and 3		Py2 Py3

Community Supported Builds

Build Type	Status	Artifacts
Linux AMD ROCm GPU Nightly		Nightly
Linux AMD ROCm GPU Stable Release		Release
Linux s390x Nightly		Nightly
Linux s390x CPU Stable Release		Release
Linux ppc64le CPU Nightly		Nightly
Linux ppc64le CPU Stable Release		Release
Linux ppc64le GPU Nightly		Nightly
Linux ppc64le GPU Stable Release		Release
Linux CPU with Intel® MKL-DNN Nightly		Nightly
Linux CPU with Intel® MKL-DNN Supports Python 2.7, 3.4, 3.5, and 3.6		1.13.1 pypi
Red Hat® Enterprise Linux® 7.6 CPU & GPU Python 2.7, 3.6		1.13.1 pypi

Resources

Learn more about the TensorFlow community and how to contribute.

License

Apache License 2.0

FAQs

What is tensorflow1-fork?

tensorflow_1.15.2. Visit Snyk Advisor to see a full health score report for tensorflow1-fork, including popularity, security, maintenance & community analysis.

Is tensorflow1-fork popular?

The python package tensorflow1-fork receives a total of 14 weekly downloads. As such, tensorflow1-fork popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tensorflow1-fork well maintained?

We found indications that tensorflow1-fork is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is tensorflow1-fork safe to use?

The python package tensorflow1-fork 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 21 December-2024, at 20:23 (UTC).

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tensorflow1-fork

tensorflow_1.15.2 For more information about how to use this package see README

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Package Health Score

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Security

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Maintenance

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Community

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Package

Readme

Install

Try your first TensorFlow program

Contribution guidelines

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Resources

License

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What is tensorflow1-fork?

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Is tensorflow1-fork safe to use?

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Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

Install

Try your first TensorFlow program

Contribution guidelines

Continuous build status

Official Builds

Community Supported Builds

Resources

License

FAQs

What is tensorflow1-fork?

Is tensorflow1-fork popular?

Is tensorflow1-fork well maintained?

Is tensorflow1-fork safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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