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pytest-split-tests

Artifact:
latest
Top 10k
A Pytest plugin for running a subset of your tests by splitting them in to equally sized groups. Forked from Mark Adams' original project pytest-test-groups.
License: Permissive (MIT)
Published: over 4 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

6.44M
Total Downloads
1
Contributor
1
Declared Dependencies
1
Dependents

Top issues

See all issues

Problem

Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Software developers publish components they have authored to public repositories. While a new software project is a welcome addition to the open source community. it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of using components that are rarely used to build applications lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.

Prevalence in PyPI community

1 packages
found in
Top 100
11 packages
found in
Top 1k
910 packages
found in
Top 10k
717.09k packages
in community

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
62 packages
found in
Top 100
578 packages
found in
Top 1k
4231 packages
found in
Top 10k
217.95k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
89 packages
found in
Top 100
714 packages
found in
Top 1k
6590 packages
found in
Top 10k
461.31k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
58 packages
found in
Top 100
522 packages
found in
Top 1k
4278 packages
found in
Top 10k
241.62k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
57 packages
found in
Top 100
515 packages
found in
Top 1k
4193 packages
found in
Top 10k
230.4k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
95 packages
found in
Top 100
837 packages
found in
Top 1k
7695 packages
found in
Top 10k
495.5k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for pytest-split-tests

What is pytest-split-tests?

A Pytest plugin for running a subset of your tests by splitting them in to equally sized groups. Forked from Mark Adams' original project pytest-test-groups. For more information about this package, visit its homepage.

Is pytest-split-tests malicious or is it safe to use?

The Python package pytest-split-tests 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 pytest-split-tests popular?

The Python package pytest-split-tests 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 pytest-split-tests once it is in my app?

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