Best AI Tools for Eclipse IDE

Find and compare the best AI Tools for Eclipse IDE in 2024

Use the comparison tool below to compare the top AI Tools for Eclipse IDE on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Codeium Reviews
    Top Pick

    Codeium

    Exafunction

    Free
    75 Ratings
    See Software
    Learn More
    Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.
  • 2
    K.Explorer Reviews
    K.Explorer is an AI system that creates better software faster, cheaper, and more efficiently. A coding assistant that increases developer productivity. An AI pair programmer that suggests code completions and complete function bodies as you type. You can also search the engine for help. It is an AI-powered Code Assistant that has been trained on millions of lines of code from private corporations, as well as billions of lines of open-source code for general purposes. Natural Language allows programmers to receive guidance and tell a text story about what code they are writing.
  • 3
    Tabnine Reviews

    Tabnine

    Tabnine

    $12 per user per month
    2 Ratings
    Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.
  • 4
    Wing Python IDE Reviews
    Wing Python IDE was built from the ground up to provide a better Python development experience. Wing will take care of the details, so you can type less. You can get immediate feedback by writing Python code interactively in the live Runtime. Navigate code and documentation easily. Wing's deep Python analysis will help you avoid common mistakes and quickly find the root cause. Smart refactoring and code quality checking will keep your code clean. Any Python code can be debugged. You can inspect debug data and use it to try out bug fixes without having to restart your app. You can work locally, remotely, on a VM, container, or host. Wingware's 21-year-old Python IDE experience will provide you with a more Pythonic development environment. Wing was built from the ground up in Python and is fully extensible with Python. You can be more productive.
  • 5
    AiXcoder Reviews
    Artificial Intelligence can be left to AIXcoder. Real Intelligence belongs to humans. The offline version has been released! Your code is protected on your local computer. AiXcoder works locally in a smooth manner using state-of-the-art deep learning model compression techniques. The models are trained using a large amount of open-source code. They can be adapted to many areas. A search window seamlessly integrates into IDE and allows you to search open-source code at GitHub. Deep learning is used for filtering high-quality code in search results. Look for API usage and examples. To avoid duplicate code, search similar code. Project Level Personalized Training - Train models on your personal project and your computer. Enterprise Level Customized Training - Train models on code base or enterprise server A standard model is used to provide training. Personalized and customized training can be provided to help you learn the patterns and rules of your code.
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