PyT alternatives

Looking for an alternative tool to replace PyT? During the review of PyT we looked at other open source tools. Based on their category, tags, and text, these are the ones that have the best match.

Top 3

  1. Bandit (Python static code analyzer)
  2. graudit (static code analysis tool)
  3. gosec (Golang security checker)

These tools are ranked as the best alternatives to PyT.

Alternatives (by score)

85

Bandit

Introduction

Bandit is a tool that can be used during development or afterward. Typically this is used by developers to find common security issues in Python code before putting the code in production. Another use-case would be to use this tool to analyze existing projects and find possible flaws.

Project details

Bandit is written in Python.

Strengths and weaknesses

  • + More than 50 contributors
  • + The source code of this software is available
  • + Supported by a large company

    Typical usage

    • Code analysis

    Bandit review

    85

    graudit

    Introduction

    Analysis of source code helps to find programming flaws including those that can lead to software vulnerabilities. Graudit helps to uncover these by searching through the files and discover possible flaws. The tool supports languages like ASP, C, Perl, PHP, Python, and others.

    Project details

    graudit is written in shell script.

    Strengths and weaknesses

    • + The source code is easy to read and understand
    • + Tool is easy to use
    • + Used language is shell script
    • + The source code of this software is available

      Typical usage

      • Code analysis

      graudit review

      85

      gosec

      Introduction

      Gosec is a security tool that performs a static code analysis for Golang projects for security flaws. The scan is performed on the so-called abstract syntax tree (AST). Gosec checks for common flaws that may be part of the selected project.

      Project details

      gosec is written in Golang.

      Strengths and weaknesses

      • + More than 25 contributors
      • + More than 1000 GitHub stars
      • + The source code of this software is available

        Typical usage

        • Code analysis
        • Safe software development

        gosec review

        74

        Yosai

        Introduction

        Yosai is a security framework for Python applications and adds authentication, authorization, and session management capabilities. Features include Role-Based Access Control (RBAC), two-factor authentication, and Time-based One-Time Passwords (TOTP). Besides a focus on the authentication and authorization, Yosai enables an audit trail of all relevant events.

        As each framework comes with some overhead, Yosai aims to leverage caching and serialization where possible.

        Project details

        Yosai is written in Python.

        Strengths and weaknesses

        • + The source code of this software is available

          Typical usage

          • Application security
          • Audit logging
          • Identity and access management

          Yosai review

          74

          angr

          Introduction

          Tools like angr are great for performing in-depth analysis of binaries. This could be the analysis of an unknown binary, like a collected malware sample.

          Project details

          angr is written in Python.

          Strengths and weaknesses

          • + More than 50 contributors
          • + More than 1000 GitHub stars
          • + The source code of this software is available

            Typical usage

            • Binary analysis
            • Malware analysis

            angr review

            68

            yasca (Yet Another Source Code Analyzer)

            Introduction

            Yasca is a tool to perform code analysis and linting. It can be used by developers and security professionals to evaluate the code quality.

            Project details

            yasca is written in PHP.

            Strengths and weaknesses

            • + The source code of this software is available

              Typical usage

              • Code analysis

              yasca review

              96

              Safety

              Introduction

              When having applications deployed in your environment, not all of those may be installed via a package manager. When your infrastructure grows, it becomes even harder to know which tools are properly patched and which ones are not. For Python applications, this is where Safety comes in that can help scan installed software components via pip. It will also look at any of the dependencies that are installed.

              Project details

              Safety is written in Python.

              Strengths and weaknesses

              • + More than 10 contributors
              • + The source code of this software is available

                Typical usage

                • Penetration testing
                • Security assessment
                • Security monitoring
                • Vulnerability scanning

                Safety review

                68

                Shellharden

                Introduction

                Shellharden helps to detect flaws in shell scripts that may result in vulnerabilities. While being similar to Shellcheck, this tool can apply the suggested changes to a shell script.

                Project details

                Shellharden is written in Rust.

                Strengths and weaknesses

                • + Tool is easy to use
                • + More than 3000 GitHub stars
                • + The source code of this software is available
                • - Full name of author is unknown

                Typical usage

                • Code analysis

                Shellharden review

                100

                Brakeman

                Introduction

                Brakeman is a static code analysis tool for Ruby on Rails to perform a security review. It comes as an open source project with optional commercial support.

                Project details

                Brakeman is written in Ruby.

                Strengths and weaknesses

                • + Commercial support available
                • + More than 5000 GitHub stars
                • + The source code of this software is available
                • - Commercial usage is restricted to some extent

                Typical usage

                • Code analysis

                Brakeman review

                59

                Cppcheck

                Introduction

                Cppcheck is a static code analysis tool for C and C++ code. It helps to discover bugs that would not be picked up by compilers, yet avoid any false positives.

                Project details

                60

                Jackhammer

                Introduction

                The tool uses RBAC (Role Based Access Control) with different levels of access. Jackhammer uses several tools to do dynamic and static code analysis (e.g. for Java, Ruby, Python, and Nodejs). It checks also for vulnerabilities in libraries. Due to its modular architecture, it can use several scanners out of the box, with options to add your own.

                The Jackhammer project was initially added to GitHub on the 8th of May, 2017.

                Project details

                Jackhammer is written in Ruby.

                Strengths and weaknesses

                • + The source code of this software is available

                  Typical usage

                  • Collaboration
                  • Information sharing

                  Jackhammer review

                  56

                  Shellyzer

                  Introduction

                  Shell scripts are easy to create and often used by system administrator and developers. Although the language is fairly easy, there is a good number of best practices when creating them. Tools like Shellyzer can help auditing these scripts and improve the code or discover vulnerabilities.

                  Project details

                  Shellyzer is written in Python.

                  Strengths and weaknesses

                  • + The source code of this software is available
                  • - Unknown project license

                  Typical usage

                  • Code analysis

                  Shellyzer review

                  68

                  pyelftools

                  Introduction

                  This toolkit is used by other software, or standalone. Its main purpose is to parse binary ELF files and DWARF debugging information. This can be useful during malware analysis or troubleshooting issues with programs.

                  Project details

                  pyelftools is written in Python.

                  Strengths and weaknesses

                  • + More than 25 contributors
                  • + More than 500 GitHub stars
                  • + The source code of this software is available

                    Typical usage

                    • Binary analysis
                    • Malware analysis

                    pyelftools review

                    85

                    uncompyle6

                    Introduction

                    A decompiler like uncompyle6 can be used to investigate Python-based software components that are compiled. These files can be recognized by their .pyc file extension.

                    This tool has been written as several other decompilers were no longer maintained. So far this software seems to have a good number of contributors and regular updates.

                    Project details

                    Strengths and weaknesses

                    • + More than 10 contributors
                    • + The source code of this software is available

                      Typical usage

                      • Binary analysis
                      • Code analysis

                      uncompyle6 review

                      85

                      Manticore

                      Introduction

                      Manticore is a so-called symbolic execution tool to perform a binary analysis. It supports Linux ELF binaries and Ethereum smart contracts. The tool helps with researching binaries and their behavior. This might be useful to learn how malware works and troubleshooting.

                      Project details

                      Manticore is written in Python.

                      Strengths and weaknesses

                      • + More than 25 contributors
                      • + More than 1000 GitHub stars
                      • + The source code of this software is available

                        Typical usage

                        • Binary analysis
                        • Malware analysis
                        • Reverse engineering

                        Manticore review

                        Some relevant tool missing as an alternative to PyT? Please contact us with your suggestion.