semantic-link-functions-validators

v0.8.4

Semantic link functions for validators package. Enables validation of email addresses, credit card numbers, ... in FabricDataFrames. For more information about how to use this package see README

Latest version published 8 days ago

License: MIT

PyPI

GitHub

Package Health Score

70 / 100

security
No known security issues
popularity
Recognized
maintenance
Sustainable
community
Limited

Popularity

Recognized

GitHub Stars: 12
Forks: 6
Contributors: 6

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package semantic-link-functions-validators, we found that it has been starred 12 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 18, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
0
L

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

License

MIT

Security Policy

Yes

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Maintenance

Sustainable

Commit Frequency

Open Issues: 1
Open PR: 0
Last Release: 8 days ago
Last Commit: 8 months ago

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

We found that semantic-link-functions-validators demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: Yes
Contributors: 6
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.10

Age: 1 year
Latest Release: 8 days ago
Dependencies: 1 Direct
Versions: 27
Maintainers: 0
Wheels: OS Independent

Readme

FabricDataFrames dynamically expose semantic functions based on logic defined by each function. For example, the is_holiday function shows up in the autocomplete suggestions when you're working on a FabricDataFrame containing both a datetime column and a country column.

Each semantic function uses information about the data types, metadata (such as Power BI data categories), and the data in a FabricDataFrame or FabricSeries to determine its relevance to the particular data on which you're working.

Semantic functions are automatically discovered when annotated with the @semantic_function decorator. You can think of semantic functions as being similar to C# extension methods applied to the popular DataFrame concept.

from sempy.fabric import FabricDataFrame

df = FabricDataFrame(
        {"contact_email": ["a@b.com", "d.com"],
         "amex": ["378282246310005", "4242424242424242"],
         "iban": ["DE29100500001061045672", "123456"],
         "es_nie": ["X0095892M", "X0095892X"]}
    )

df["contact_email"].validators.is_email()

semantic-link-functions-validators dependencies

validators

FAQs

What is semantic-link-functions-validators?

Semantic link functions for validators package. Enables validation of email addresses, credit card numbers, ... in Fabr... Visit Snyk Advisor to see a full health score report for semantic-link-functions-validators, including popularity, security, maintenance & community analysis.

Is semantic-link-functions-validators popular?

The python package semantic-link-functions-validators receives a total of 21,867 weekly downloads. As such, semantic-link-functions-validators popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is semantic-link-functions-validators well maintained?

We found indications that semantic-link-functions-validators maintenance is sustainable demonstrating some project activity. We saw a total of 6 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is semantic-link-functions-validators safe to use?

The python package semantic-link-functions-validators 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 24 December-2024, at 19:30 (UTC).

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