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Scanned: about 18 hours ago

number-parser

Artifact:
latest
Top 10k
parse numbers written in natural language
License: unknown
Published: almost 3 years 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

4.95M
Total Downloads
1
Contributor
1
Declared Dependencies
9
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
67 packages
found in
Top 100
586 packages
found in
Top 1k
4061 packages
found in
Top 10k
146.39k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
86 packages
found in
Top 100
713 packages
found in
Top 1k
5448 packages
found in
Top 10k
222.97k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
95 packages
found in
Top 100
795 packages
found in
Top 1k
6588 packages
found in
Top 10k
379.58k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
85 packages
found in
Top 100
690 packages
found in
Top 1k
5589 packages
found in
Top 10k
318.4k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for number-parser

What is number-parser?

parse numbers written in natural language. For more information about this package, visit its homepage.

Is number-parser malicious or is it safe to use?

The Python package number-parser 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 number-parser popular?

The Python package number-parser 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 number-parser once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how number-parser behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a number-parser 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.