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python-intervals

Artifact:
latest
Top 10k
Python data structure and operations for intervals
License: unknown
Published: over 5 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

5.76M
Total Downloads
1
Contributor
0
Declared Dependencies
10
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

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)
96 packages
found in
Top 100
834 packages
found in
Top 1k
7732 packages
found in
Top 10k
505269 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
76 packages
found in
Top 100
607 packages
found in
Top 1k
4665 packages
found in
Top 10k
277086 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for python-intervals

What is python-intervals?

Python data structure and operations for intervals. For more information about this package, visit its homepage.

Is python-intervals malicious or is it safe to use?

The Python package python-intervals 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 python-intervals popular?

The Python package python-intervals ranks among the top 10000 projects in this community. It has 6M 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 python-intervals once it is in my app?

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