Welcome to Ultralytics Docs, your comprehensive resource for understanding and utilizing our state-of-the-art [machine learning](https://www.ultralytics.com/glossary/machine-learning-ml) tools and models, including [Ultralytics YOLO](https://docs.ultralytics.com/models/yolov8/). These documents are actively maintained and deployed to [https://docs.ultralytics.com](https://docs.ultralytics.com/) for easy access.
To install the `ultralytics` package in developer mode, which allows you to modify the source code directly, ensure you have [Git](https://git-scm.com/) and [Python](https://www.python.org/) 3.9 or later installed on your system. Then, follow these steps:
This command installs the `ultralytics` package such that changes to the source code are immediately reflected in your environment, ideal for development.
The `mkdocs serve` command builds and serves a local version of your [MkDocs](https://www.mkdocs.org/) documentation. This is highly useful during development and testing to preview changes.
2. Build all language versions into the `/site` directory. This script ensures that relevant root-level files are included and clears the previous build:
3. To preview the complete multi-language site locally, navigate into the build output directory and start a simple [Python HTTP server](https://docs.python.org/3/library/http.server.html):
To deploy your MkDocs documentation site, choose a hosting provider and configure your deployment method. Common options include [GitHub Pages](https://pages.github.com/), GitLab Pages, or other static site hosting services.
- For detailed instructions on various deployment methods, consult the official [MkDocs Deploying your docs guide](https://www.mkdocs.org/user-guide/deploying-your-docs/).
We deeply value contributions from the open-source community to enhance Ultralytics projects. Your input helps drive innovation! Please review our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) for detailed information on how to get involved. You can also share your feedback and ideas through our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A heartfelt thank you 🙏 to all our contributors for their dedication and support!
- **AGPL-3.0 License**: Ideal for students, researchers, and enthusiasts involved in academic pursuits and open collaboration. See the [LICENSE](https://github.com/ultralytics/docs/blob/main/LICENSE) file for full details. This license promotes sharing improvements back with the community.
- **Enterprise License**: Designed for commercial applications, this license allows seamless integration of Ultralytics software and [AI models](https://docs.ultralytics.com/models/) into commercial products and services. Visit [Ultralytics Licensing](https://www.ultralytics.com/license) for more information on obtaining an Enterprise License.
For bug reports, feature requests, and other issues related to the documentation, please use [GitHub Issues](https://github.com/ultralytics/docs/issues). For discussions, questions, and community support, join the conversation with peers and the Ultralytics team on our [Discord server](https://discord.com/invite/ultralytics)!
