Overview Of TOP 5 Code Analyzers

The source code doesn't always come out perfect right from the start and often needs to improve. Especially when you look at the finished code, after a while, you realize what could have been written better. To ensure that the quality of your code is always at the highest level, you need to hire an assistant to help with its analysis.

Writing clean, high-quality, and readable code is easier when you have an analyzer at hand that does its job automatically. For example, consider the TOP 5 analyzers, and you can choose the right assistant for yourself.

TOP-5 Analyzers

Sourcery AI

Sourcery analyzes your code at any time and automatically suggests improvements.

This analyzer supports the Python programming language and has the following features: 

  • Get instant suggestions on improving your code and aligning it with best practices.
  • Fix every instance of a problem in your codebase with a single command.
  • Get feedback and fixes for code that doesn't meet standards in real-time.

The analyzer supports your code throughout the entire development life cycle; working both in a team and individually is possible. 

When you take care of the order in the source code, by taking care of Sourcery, you clean up the code at scale by analyzing the entire project. Then, you optimize your work based on the data obtained from the analysis. This way, you can spend more time creating great products for your customers.


AppRefactoring analyzer will not only analyze the source code but also, if necessary, help make it unique. 

The analyzer supports 9 programming languages: Java, JavaScript, Swift, TypeScript, Kotlin, PHP, Go, C#, and Objective-C. 

And it supports integrations with Google Drive, GitHub, and DropBox.

In the process, duplicated fragments of code and files are analyzed, which makes it possible to make the program unique by replacing similar parts of code, classes, methods, etc. As a result (using refactoring and obfuscation), you create a unique code and improve its quality. Working with AppRefactoring, you can compare the downloaded code with the base of your projects and thus see the intersections and matches between specific projects. While working with the analyzer, you can add your own exceptions for analysis, such as system methods and files.

The analyzer is convenient for both personal and teamwork. AppRefactoring helps improve code quickly and efficiently.


CodeScene analyzes and visualizes the processes of your source code. It helps identify common code patterns and intersections through advanced codebase algorithms.

The analyzer supports 25 programming languages: C, C++, C#, Java, Groovy, JavaScript, TypeScript, React, ECMAScript, Vue.js, Objective-C, Scala, Python, Swift, Go, Dart, Ruby, Kotlin, Perl 5, TCL, Apex, PowerShell, Clojure, Visualbasic.Net, PHP, Erlang, Elixir, Rust.

In the course of work, the analyzer informs about sections of the new code that can be replaced. CodeScene prioritizes how you work with code: automated and efficient. 

By using CodeScene to maintain your codebase, you can keep track of essential development principles. For example, you can reduce technical debt and organize your team for stable work.

Dart Code Metrics

Dart Code Metrics, like other tools, analyzes and improves code quality. The analyzer checks for anti-patterns and helps with code identification.

Supports the Dart programming language.

The analyzer is easily integrated into the CI/CD process when launched via the command line. You can get the results in Console, HTML, JSON, CodeClimate, or GitHub. You get real-time feedback when you connect Dart Code Metrics as a plug-in to Analysis Server. Directly from the IDE. Additional custom rules for the parser are also provided. With the help of Dart Code Metrics, tricky code sections are identified and eliminated.

The community developed the analyzer for the community, so code improvement takes place in the right environment.


Sourcegraph helps you automate key processes across your entire codebase. Eliminates dependencies and issues that you encounter while developing code. 

The analyzer supports over 40 programming languages: Java, Python, Go, JavaScript, TypeScript, C, C#, C++, Swift, Objective-C, Kotlin, Ruby, Scala, Rust, Perl, Dart, Erlang, COBOL, Clojure, Lisp, Shell, Terraform, Lua, GraphQL, Thrift, Protobuf, YAML, JSON, Jsonnet, R, PHP, Elixir, Haskell, PowerShell, OCaml, CUDA, Pascal, Verilog, VHDL, Groovy, Tcl.

With Sourcegraph, you can speed up your development process and improve code performance. You can also identify the root cause of errors and prioritize work depending on the specific context. With the analyzer, you can track what is important to you and your team. 

The analyzer can search multiple code repositories. This process is helpful for those who distribute code across various repositories. These features improve your productivity and make it easier to write code.


Writing quality code from the beginning is every programmer's goal. But knowing the tools that can help with this, creating high-quality code is much more convenient. You make your tasks easier with an automatic tool that analyzes the source code, makes recommendations on how to improve it, and all you need to do is follow the recommendations.

Sourcery AI, AppRefactoring, CodeScene, Dart Code Metrics, and Sourcegraph - these analyzers help you automatically improve the quality of your code. Knowing their capabilities, you can choose the right analyzer and improve your daily work with code. Don't leave the opportunity for later!

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