Open Source Linux Static Code Analysis Tools - Page 2
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Static Code Analysis Tools for Linux
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AWS IoT Jobs library
Client library for using AWS IoT Jobs service on embedded devices
The AWS IoT Jobs library helps you notify connected IoT devices of a pending Job. A Job can be used to manage your fleet of devices, update firmware and security certificates on your devices, or perform administrative tasks such as restarting devices and performing diagnostics. It interacts with the AWS IoT Jobs service using MQTT, a lightweight publish-subscribe protocol. This library provides a convenience API to compose and recognize the MQTT topic strings used by the Jobs service. The library is written in C compliant with ISO C90 and MISRA C:2012, and is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone both static code analysis from Coverity. -
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AWS IoT Over-the-air Update Library
Manage the notification of a newly available update
The OTA library enables you to manage the notification of a newly available update, download the update, and perform cryptographic verification of the firmware update. Using the library, you can logically separate firmware updates from the application running on your devices. The OTA library can share a network connection with the application, saving memory in resource-constrained devices. In addition, the OTA library lets you define application-specific logic for testing, committing, or rolling back a firmware update. The library supports different application protocols like Message Queuing Telemetry Transport (MQTT) and Hypertext Transfer Protocol (HTTP), and provides various configuration options you can fine-tune depending on network type and conditions. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8. -
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AWS SigV4 Library
AWS library to sign AWS HTTP requests with Signature Version 4
The AWS SigV4 Library is a standalone library for generating authorization headers and signatures according to the specifications of the Signature Version 4 signing process. Authorization headers are required for authentication when sending HTTP requests to AWS. This library can optionally be used by applications sending direct HTTP requests to AWS services requiring SigV4 authentication. This library has no dependencies on any additional libraries other than the standard C library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis, and validation of memory safety through the CBMC automated reasoning tool. -
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Anduin
A scripting language for industrial software
Anduin aims to replace perl, python, tcl, and others as the workhorse language in industrial programming projects. It places emphasis on enabling the interpreter to perform compile-time static code analysis as a means of closing the development loop faster and letting fewer bugs get to the user. -
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AutoReplacerPlus
Automatic correction of software bugs and grammar mistakes
Automatic correction of software bugs announced in compilers (clang, gcc) / Static Code Analysis tools (cppcheck, FindBugs) and grammar/style errors like in LanguageTool. Usage: use tool (e.g. cppcheck) and store results in a text file. Afterwards call: autoreplacerplus mytextfile -
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Code Quality and Security for C#
Code analyzer for C# and VB.NET projects
Sonar offers a single cohesive solution with a consistent set of metrics and hundreds of static analysis rules to detect your coding issues early. Plus fast and high-precision analysis means high value, low noise, and reliable results always. A single solution for dozens of popular languages, development frameworks and IaC platforms. Our powerful language-specific analysis not only detects coding issues but also helps you understand what's wrong and how to fix it. Our publicly available ruleset includes thousands of rules covering various issue categories and language standards. Open the rule in SonarQube / SonarCloud, scroll down and (in case the rule has parameters), you can configure the parameters for each Quality Profile the rule is part of. Standalone NuGet packages can be configured the same way as SonarLint in connected mode. -
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Code Quality and Security for Java
SonarSource Static Analyzer for Java Code Quality and Security
Hundreds of unique rules to find Java bugs, code smells & vulnerabilities. Sonar static analysis helps you build and maintain high-quality Java code. Covering popular build systems, standards and versions, Sonar elevates your coding game while keeping vulnerabilities at bay. With each Java version, we create dedicated rules so you learn shiny, new features and avoid pitfalls. Consistently find tricky, hard-to-spot issues in your regular expressions. Allow you to effortlessly repair your Java coding issues with just a click. Dozens of rules to ensure your tests are always as clean as your code! Dedicated rules to detect vulnerabilities including ones stemming from OWASP & CWE Top 25 guidelines. It all comes from a powerful analysis engine that we constantly refine. Sonar employs advanced rules along with smart, exclusive analysis techniques to find the trickiest, most elusive issues. -
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Credo
A static code analysis tool for the Elixir language
Credo is a static code analysis and linting tool for the Elixir language, with an emphasis on promoting code consistency, teaching best practices, and helping developers identify refactoring opportunities, style inconsistencies, and potentially problematic code patterns. Elixir plugin for JetBrains IDEs (IntelliJ IDEA, Rubymine, PHPStorm, PyCharm, etc). Checks your code from style to security, duplication, complexity, and also integrates with coverage. -
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DiffReport
Code Difference report
Often I have seen some Huge Maintenance Projects it is always very difficult to track the incremental files for each release and If we want to do that we need to checkout both the branches and use some UI based tool to get the diff of the files finally we end up waiting in front of the PC for a long time and do this job. In many cases we spend more than 2 hrs/day. The time increases if there are more such parallel releases and at the end of the day 1 developer does it as full time job and has zero productivity. I thought of adding value here. This just gets the diff files. Can be used for Static code analysis like PMD to do PMD only for the delta. The current status of the project is in Development". If you wish to add something please mail me. -
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Error Prone
Catch common Java mistakes as compile-time errors
Error Prone is a static analysis tool for Java that catches common programming mistakes at compile-time. It’s common for even the best programmers to make simple mistakes. And sometimes a refactoring that seems safe can leave behind code that will never do what’s intended. We’re used to getting help from the compiler, but it doesn’t do much beyond static type checking. Using Error Prone to augment the compiler’s type analysis, you can catch more mistakes before they cost you time, or end up as bugs in production. We use Error Prone in Google’s Java build system to eliminate classes of serious bugs from entering our code, and we’ve open-sourced it, so you can too. -
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GoKart
A static analysis tool for securing Go code
GoKart is a static analysis tool for Go that finds vulnerabilities using the SSA (single static assignment) form of Go source code. It is capable of tracing the source of variables and function arguments to determine whether input sources are safe, which reduces the number of false positives compared to other Go security scanners. For instance, a SQL query that is concatenated with a variable might traditionally be flagged as SQL injection; however, GoKart can figure out if the variable is actually a constant or constant equivalent, in which case there is no vulnerability. GoKart also helps to power Chariot, Praetorian's security platform that helps you find, manage, and fix vulnerabilities in your source code and cloud environments. Chariot makes it simple to run automated, continuous GoKart scans on your source code. If you want to try GoKart, you can set up a free Chariot account in minutes. -
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HLint
Haskell source code suggestions
HLint is a linter for Haskell that suggests stylistic improvements and potential simplifications in Haskell code. It parses Haskell source files and provides hints to refactor code for better readability, maintainability, or performance. HLint is highly configurable and supports custom rules, integrations with CI tools, and editor plugins. It is widely used in the Haskell ecosystem for maintaining consistent code standards. -
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JSHint
A tool that helps to detect errors and in your JavaScript code
JSHint is a community-driven tool that detects errors and potential problems in JavaScript code. Since JSHint is so flexible, you can easily adjust it in the environment you expect your code to execute. JSHint is publicly available and will always stay this way. The project aims to help JavaScript developers write complex programs without worrying about typos and language gotchas. Any code base eventually becomes huge at some point, so simple mistakes, that would not show themselves when written, can become show stoppers and add extra hours of debugging. So, static code analysis tools come into play and help developers spot such problems. JSHint scans a program written in JavaScript and reports about commonly made mistakes and potential bugs. The potential problem could be a syntax error, a bug due to an implicit type conversion, a leaking variable, or something else entirely. -
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Kibit
There's a function for that
kibit is a static analysis tool for Clojure/ClojureScript that detects code patterns that can be rewritten more idiomatically. Based on core.logic, it suggests replacements—like using when instead of if for single-branch logic. It integrates via the command line or Leiningen plugin, enhancing code quality and readability. -
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PEP 8 Speaks
A GitHub app to automatically review Python code style
A GitHub app to automatically review Python code style over Pull Requests. PEP 8 Speaks is a GitHub integration which detects Python code style issues on new Pull Requests. You can install it on your Python projects and configure with your own code style. Check out the project on GitHub. Maintainers of Python projects have a difficult time reviewing Pull Requests by new contributors who may not be aware of the code style. This project makes reviewing Pull Requests a little bit easier. Style issues get lost in the long CI build logs and the authors of the Pull Requests are not notified about them (unless flake8 is strict about failing the build). Thus, new issues are overlooked and introduced in the project. PEP 8 Speaks can read the setup.cfg file and adopt your already existing flake8/pycodestyle settings. PEP 8 Speaks is free of cost. By default, it can not work on private repositories. -
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PHPMD
PHPMD is a spin-off project of PHP Depend
PHPMD is a code analysis tool that helps developers identify potential issues in their PHP code by detecting messy, suboptimal, or overly complex code structures. It acts as a companion to PHP_CodeSniffer, focusing on design and logic problems rather than just formatting. PHPMD supports a wide range of rulesets and can be customized to enforce specific coding standards, making it useful for maintaining clean, efficient, and maintainable codebases. -
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PHPStan Symfony Framework extensions
Symfony extension for PHPStan
Symfony extension for PHPStan. Sometimes, when you are dealing with optional dependencies, the ::has() methods can cause problems. For example, the following construct would complain that the condition is always either on or off, depending on whether you have the dependency for service installed. You can opt in for more advanced analysis of Symfony Console Commands by providing the console application from your own application. This will allow the correct argument and option types to be inferred when accessing $input-getArgument() or $input->getOption(). -
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PasCop
Static code analysis for Freepascal
PasCop is a tool for static program analysis of Object Pascal source codes. It helps to comply with the principles of Clean Code Development and supports the developer in creating readable source code. -
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PhpDependencyAnalysis
Static code analysis to find violations in a dependency graph
PhpDependencyAnalysis is an extendable static code analysis for object-oriented PHP-Projects to generate dependency graphs from abstract datatypes (Classes, Interfaces and Traits) based on namespaces. Dependencies can be aggregated to build graphs for several levels, like Package-Level or Layer-Level. Each dependency can be verified to a defined architecture. -
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React Boilerplate
A highly scalable, offline-first foundation with the best DX
React Boilerplate is a highly scalable, offline-first foundation for React.js applications. It offers the best developer experience with a focus on performance and best practices. React Boilerplate offers predictable state management so you can take control of your app’s state and keep state mutations manageable. It also features next generation JavaScript, so you can stop worrying about browser support or use features like arrow functions, JSX syntax and more. There’s also support for next generation CSS, and being offline first, it allows availability without network connection from the moment your users load the app. React Boilerplate also provides instant feedback, so you can have nothing but the best developer experience! -
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RuboCop
A Ruby static code analyzer and formatter, based on the community Ruby
RuboCop is a Ruby static code analyzer (a.k.a. linter) and code formatter. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide. RuboCop packs a lot of features on top of what you’d normally expect from a linter. Works with every major Ruby implementation. Autocorrection of many of the code offenses it detects. Robust code formatting capabilities. Multiple result for matters for both interactive use and for feeding data into other tools. Ability to have different configurations for different parts of your codebase. Ability to disable certain cops only for specific files or parts of files. Extremely flexible configuration that allows you to adapt RuboCop to pretty much every style and preference. It’s easy to extend RuboCop with custom cops and formatters. Many online services use RuboCop internally (e.g. HoundCI, Sider and CodeClimate). -
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RuboCop Performance
An extension of RuboCop focused on code performance checks
Performance optimization analysis for your projects, as an extension to RuboCop. You need to tell RuboCop to load the Performance extension. Now you can run rubocop and it will automatically load the RuboCop Performance cops together with the standard cops. You need to tell RuboCop to load the Performance extension. Now you can run rubocop and it will automatically load the RuboCop Performance cops together with the standard cops. -
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RuboCop Rails
A RuboCop extension focused on enforcing Rails best practices
A RuboCop extension focused on enforcing Rails best practices and coding conventions. It’s based on the community-driven Rails style guide. You need to tell RuboCop to load the Rails extension. Now you can run rubocop and it will automatically load the RuboCop Rails cops together with the standard cops. If you are using Rails 6.1 or newer, add the following config.generators.after_generate setting to your config/application.rb to apply RuboCop autocorrection to code generated by bin/rails g. It uses rubocop -A to apply Style/FrozenStringLiteralComment and other unsafe autocorretion cops. rubocop -A is unsafe autocorrection, but code generated by default is simple and less likely to be incompatible with rubocop -A. If you have problems you can replace it with rubocop -a instead. -
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Security Code Scan
Vulnerability Patterns Detector for C# and VB.NET
Detects various security vulnerability patterns. SQL Injection, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), XML eXternal Entity Injection (XXE), etc. Inter-procedural taint analysis for input data. Continuous Integration (CI) support for GitHub and GitLab pipelines. Stand-alone runner or through MSBuild for custom integrations. Analyzes .NET and .NET Core projects in the background (IntelliSense) or during a build. Works with Visual Studio 2019 or higher. Visual Studio Community, Professional and Enterprise editions are supported. Other editors that support Roslyn-based analyzers like Rider or OmniSharp should work too. Security Code Scan (SCS) is not a Linter. It is a real static analysis tool that does extensive computations. Thus installing it as a Visual Studio extension or NuGet package will slow down your Visual Studio IDE. -
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Soufflé
Datalog variant for tool designers crafting analyses in Horn clauses
Rapid prototyping for your analysis problems with logic; enabling deep design-space explorations; designed for large-scale static analysis; e.g., points-to analysis for Java, taint-analysis, and security checks. Futamura projections/partial evaluation for effective translation to parallel C++; optimized staged compilation; specialized data-structures for logical relations. Efficient translation to parallel C++ of Datalog programs (CAV'16, CC'16) Efficient interpretation using de-specialization techniques (PLDI'21) Specialized data structure for relations (PACT'19, PPoPP'19, PMAM'19) with optimal index selection (VLDB'18) Extended semantics of Datalog, e.g., permitting unbounded recursions with numbers and terms. Simple component model for Datalog specifications. Recursively defined record types/ADTs (aka. constructors) for tuples. User-defined functors. Strongly-typed types for safety. Subsumption, aggregation, Choice Construct (APLAS'21).
