We earn commission when you buy through affiliate links.
This does not influence our reviews or recommendations.Learn more.
As long as tech evolves, we will never face a shortage of new inventions and discoveries like AI.
Among these circumstances, Python, a programming language, is still standing solid & straight.
This figure reflects Pythons popularity among developers, organizations, startups, and young professionals.
This doesnt make me relax since popularity also brings many risks and threats.
I hope the developers know that python core is secure, but third-party modules may not.
Therefore, to solve this issue, you need asecurity scannerto find vulnerabilities.
Lets delve into the list of best scanning tools that finds security risks and vulnerabilities in a Python system.
Bandit
Banditis an Open Stacks initiative to find common security risk in python code.
It processes each file to build AST and generate a report.
you might get it installed using pip.
The usage of Bandit can be customized.
You may also instruct to report based on severity (Low, Medium or High) level.
From building pipelines to production systems, Safety CLI can be used in various situations.
PyUp
Keep your Python app up-to-date, compliant, and secure withPyUps Python Dependency Security.
Furthermore, PyUp maintains a database of vulnerabilities, and to date, it has recorded 472,750 Python dependencies.
Its scanners are built for solving complex environments and scanning your files for outdated and insecure requirements.
Integrate command-line tools in your CI workflows.
Snyk
In the middle of this exciting brawl, I would like to introduceSnyk.
Snyk Open Source delivers software configuration analysis (SCA).
These features alone make Snyk an excellent option for developers.
You have the opportunity to Scan, Monitor, Fix, and Automate.
Soos.io
Soos SCAclaims to be the low-cost, all-in-one solution for everything you need in an SCA.
And believe me; the claim is not hollow!
It offers unlimited scans whenever you want.
This feature allows developers to get to the end.
The most attractive feature, which made me go crazy behind this tool, is its rich dashboard.
All-Inclusive, its a beautiful package to eliminate the threats surrounding your Python software.
Pyre
Pyreis an excellent tool to find or detect security vulnerabilities.
Pyre includes Pysa, a security-focused static analysis tool built on top of Pyre.
Pysa analyzes data flows in Python applications.
The initial configuration includes some simple steps.
SAPP is crucial to execute the analysis.
Therefore, dont hesitate and go ahead for Pyre without thinking twice!
Trivy
I introduce you to Trivy, an exceptional, versatile, and comprehensive security scanner.
Trivy can scan container images, filesystem, Git Repository, AWS, etc.
Trivy supports other popular languages besides Python, such as Ruby, Node.js, Java, etc.
It can also support operating systems.
Final Words
Coming down to the conclusion, you must be curious about my personal preference.
I believe there are several practical tools to find vulnerabilities in Python Applications.
All the tools mentioned above in the list have their offerings.
To be accurate, all are great options.
Each tool brings unique advantages to enhance the security of your Python code.
I would suggest considering your specific requirements and preferences when making your selection.
Next, check out the bestPython frameworksfor building small to enterprise applications.
Also learn how to perform unit testing with the Python unittest module.
