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Scanned: 4 days ago

times

Artifact:
latest
Top 10k
Times is a small, minimalistic, Python library for dealing with time conversions between universal time and arbitrary timezones.
License: unknown
Published: over 11 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

12M
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)
100 packages
found in
Top 100
840 packages
found in
Top 1k
7148 packages
found in
Top 10k
332.43k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
65 packages
found in
Top 100
485 packages
found in
Top 1k
4205 packages
found in
Top 10k
196.19k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for times

What is times?

Times is a small, minimalistic, Python library for dealing with time conversions between universal time and arbitrary timezones. For more information about this package, visit its homepage.

Is times malicious or is it safe to use?

The Python package times 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 times popular?

The Python package times ranks among the top 10000 projects in this community. It has 12M 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 times once it is in my app?

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