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Scanned: 14 days ago

normality

Artifact:
latest
Top 10k
Micro-library to normalize text strings
License: Permissive (MIT)
Published: 3 months ago
Visit Github
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

Popularity

4.65M
Total Downloads
1
Contributor
4
Declared Dependencies
36
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
540 packages
found in
Top 1k
3644 packages
found in
Top 10k
154572 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
49 packages
found in
Top 100
364 packages
found in
Top 1k
2374 packages
found in
Top 10k
87567 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
585 packages
found in
Top 1k
4048 packages
found in
Top 10k
149289 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
87 packages
found in
Top 100
711 packages
found in
Top 1k
5425 packages
found in
Top 10k
227429 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
97 packages
found in
Top 100
816 packages
found in
Top 1k
6970 packages
found in
Top 10k
463877 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for normality

What is normality?

Micro-library to normalize text strings.

Is normality malicious or is it safe to use?

The Python package normality was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use.

Is normality popular?

The Python package normality ranks among the top 10000 projects in this community. It has 5M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure normality once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how normality behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a normality version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.