waseda-tfx

v7.1.0

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google. For more information about how to use this package see README

Latest version published 3 years ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

54 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

Popularity

Small

GitHub Stars: 2.11K
Forks: 709
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package waseda-tfx, we found that it has been starred 2,114 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 8, 2021
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
24
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 46
Open PR: 219
Last Release: 3 years ago
Last Commit: 23 days ago

Further analysis of the maintenance status of waseda-tfx 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 waseda-tfx 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: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.6,<3.9

Age: 3 years
Latest Release: 3 years ago
Dependencies: 24 Direct / 154 Total
Versions: 9
Maintainers: 1
Wheels: OS Independent

Readme

TFX

TensorFlow Extended (TFX) is a Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchestrated using Apache Airflow and Kubeflow Pipelines. Both the components themselves as well as the integrations with orchestration systems can be extended.

TFX components interact with a ML Metadata backend that keeps a record of component runs, input and output artifacts, and runtime configuration. This metadata backend enables advanced functionality like experiment tracking or warmstarting/resuming ML models from previous runs.

TFX Components

Documentation

User Documentation

Please see the TFX User Guide.

Development References

Roadmap

The TFX Roadmap, which is updated quarterly.

Release Details

For detailed previous and upcoming changes, please check here

Requests For Comment

TFX is an open-source project and we strongly encourage active participation by the ML community in helping to shape TFX to meet or exceed their needs. An important component of that effort is the RFC process. Please see the listing of current and past TFX RFCs. Please see the TensorFlow Request for Comments (TF-RFC) process page for information on how community members can contribute.

Examples

Chicago Taxi Example

Compatible versions

The following table describes how the tfx package versions are compatible with its major dependency PyPI packages. This is determined by our testing framework, but other untested combinations may also work.

tfx	apache-beam[gcp]	ml-metadata	pyarrow	tensorflow	tensorflow-data-validation	tensorflow-metadata	tensorflow-model-analysis	tensorflow-serving-api	tensorflow-transform	tfx-bsl
GitHub master	2.28.0	0.28.0	2.0.0	nightly (1.x/2.x)	0.28.0	0.28.0	0.28.0	2.4.0	0.28.0	0.28.1
0.28.0	2.28.0	0.28.0	2.0.0	1.15.0 / 2.4.0	0.28.0	0.28.0	0.28.0	2.4.0	0.28.0	0.28.1
0.27.0	2.27.0	0.27.0	2.0.0	1.15.0 / 2.4.0	0.27.0	0.27.0	0.27.0	2.4.0	0.27.0	0.27.0
0.26.0	2.25.0	0.26.0	0.17.0	1.15.0 / 2.3.0	0.26.0	0.26.0	0.26.0	2.3.0	0.26.0	0.26.0
0.25.0	2.25.0	0.24.0	0.17.0	1.15.0 / 2.3.0	0.25.0	0.25.0	0.25.0	2.3.0	0.25.0	0.25.0
0.24.1	2.24.0	0.24.0	0.17.0	1.15.0 / 2.3.0	0.24.1	0.24.0	0.24.3	2.3.0	0.24.1	0.24.1
0.24.0	2.24.0	0.24.0	0.17.0	1.15.0 / 2.3.0	0.24.1	0.24.0	0.24.3	2.3.0	0.24.1	0.24.1
0.23.1	2.24.0	0.23.0	0.17.0	1.15.0 / 2.3.0	0.23.1	0.23.0	0.23.0	2.3.0	0.23.0	0.23.0
0.23.0	2.23.0	0.23.0	0.17.0	1.15.0 / 2.3.0	0.23.0	0.23.0	0.23.0	2.3.0	0.23.0	0.23.0
0.22.2	2.21.0	0.22.1	0.16.0	1.15.0 / 2.2.0	0.22.2	0.22.2	0.22.2	2.2.0	0.22.0	0.22.1
0.22.1	2.21.0	0.22.1	0.16.0	1.15.0 / 2.2.0	0.22.2	0.22.2	0.22.2	2.2.0	0.22.0	0.22.1
0.22.0	2.21.0	0.22.0	0.16.0	1.15.0 / 2.2.0	0.22.0	0.22.0	0.22.1	2.2.0	0.22.0	0.22.0
0.21.5	2.17.0	0.21.2	0.15.0	1.15.0 / 2.1.0	0.21.5	0.21.1	0.21.5	2.1.0	0.21.2	0.21.4
0.21.4	2.17.0	0.21.2	0.15.0	1.15.0 / 2.1.0	0.21.5	0.21.1	0.21.5	2.1.0	0.21.2	0.21.4
0.21.3	2.17.0	0.21.2	0.15.0	1.15.0 / 2.1.0	0.21.5	0.21.1	0.21.5	2.1.0	0.21.2	0.21.4
0.21.2	2.17.0	0.21.2	0.15.0	1.15.0 / 2.1.0	0.21.5	0.21.1	0.21.5	2.1.0	0.21.2	0.21.4
0.21.1	2.17.0	0.21.2	0.15.0	1.15.0 / 2.1.0	0.21.4	0.21.1	0.21.4	2.1.0	0.21.2	0.21.3
0.21.0	2.17.0	0.21.0	0.15.0	1.15.0 / 2.1.0	0.21.0	0.21.0	0.21.1	2.1.0	0.21.0	0.21.0
0.15.0	2.16.0	0.15.0	0.15.0	1.15.0	0.15.0	0.15.0	0.15.2	1.15.0	0.15.0	0.15.1
0.14.0	2.14.0	0.14.0	0.14.0	1.14.0	0.14.1	0.14.0	0.14.0	1.14.0	0.14.0	n/a
0.13.0	2.12.0	0.13.2	n/a	1.13.1	0.13.1	0.13.0	0.13.2	1.13.0	0.13.0	n/a
0.12.0	2.10.0	0.13.2	n/a	1.12.0	0.12.0	0.12.1	0.12.1	1.12.0	0.12.0	n/a

FAQs

What is waseda-tfx?

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google. Visit Snyk Advisor to see a full health score report for waseda-tfx, including popularity, security, maintenance & community analysis.

Is waseda-tfx popular?

The python package waseda-tfx receives a total of 63 weekly downloads. As such, waseda-tfx popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is waseda-tfx well maintained?

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

Is waseda-tfx safe to use?

While scanning the latest version of waseda-tfx, 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 17 November-2024, at 16:27 (UTC).

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waseda-tfx

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google. For more information about how to use this package see README

Ensure you're using the healthiest python packages

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Readme

TFX

Documentation

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Examples

Compatible versions

waseda-tfx dependencies

FAQs

What is waseda-tfx?

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Is waseda-tfx well maintained?

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Package Health Score

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Commit Frequency

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Readme

TFX

Documentation

User Documentation

Development References

Roadmap

Release Details

Requests For Comment

Examples

Compatible versions

waseda-tfx dependencies

FAQs

What is waseda-tfx?

Is waseda-tfx popular?

Is waseda-tfx well maintained?

Is waseda-tfx safe to use?

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Source Code

Open Source

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