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pyjanitor

Artifact:
latest
Top 10k
Tools for cleaning pandas DataFrames
License: Permissive (MIT)
Published: 8 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

3.6M
Total Downloads
2
Contributors
31
Declared Dependencies
30
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
11 packages
found in
Top 100
23 packages
found in
Top 1k
139 packages
found in
Top 10k
3144 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
75 packages
found in
Top 100
451 packages
found in
Top 1k
3488 packages
found in
Top 10k
109392 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
508 packages
found in
Top 1k
3570 packages
found in
Top 10k
165477 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
44 packages
found in
Top 100
296 packages
found in
Top 1k
2049 packages
found in
Top 10k
48374 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
32 packages
found in
Top 100
280 packages
found in
Top 1k
2165 packages
found in
Top 10k
147011 packages
in community

Top vulnerabilities

See all vulnerabilities
Vulnerability Exploitation Lifecycle
(3 Active Vulnerabilities)
None
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

FAQ for pyjanitor

What is pyjanitor?

Tools for cleaning pandas DataFrames. For more information about this package, visit its homepage.

Is pyjanitor malicious or is it safe to use?

The Python package pyjanitor 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 pyjanitor popular?

The Python package pyjanitor ranks among the top 10000 projects in this community. It has 4M 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 pyjanitor once it is in my app?

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