Spectra Assure
Community
Docs
passEverything is awesome!
Scanned: 7 days ago

schedule

Artifact:
latest
Top 10k
Job scheduling for humans.
License: Permissive (MIT)
Published: over 1 year 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

172.73M
Total Downloads
2
Contributors
1
Declared Dependencies
598
Dependents

Top issues

No issues found.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
33 packages
found in
Top 100
149 packages
found in
Top 1k
1242 packages
found in
Top 10k
37356 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
4 packages
found in
Top 100
25 packages
found in
Top 1k
197 packages
found in
Top 10k
13580 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
75 packages
found in
Top 100
593 packages
found in
Top 1k
4478 packages
found in
Top 10k
229841 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
90 packages
found in
Top 100
703 packages
found in
Top 1k
6502 packages
found in
Top 10k
479916 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
71 packages
found in
Top 100
502 packages
found in
Top 1k
4036 packages
found in
Top 10k
214507 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for schedule

What is schedule?

Job scheduling for humans. For more information about this package, visit its homepage.

Is schedule malicious or is it safe to use?

The Python package schedule 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 schedule popular?

The Python package schedule ranks among the top 10000 projects in this community. It has 173M 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 schedule once it is in my app?

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