> For the complete documentation index, see [llms.txt](https://carvera-community.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://carvera-community.gitbook.io/docs/controller/where-to-get.md). # Where to Get ## Latest Version See the assets section of [latest release](https://github.com/carvera-community/carvera_controller/releases/latest) for installation packages for your system. * carveracontroller-community-\-windows-x64.exe - Standalone Windows binary, without a installer * carveracontroller-community-\-Intel.dmg - MacOS with Intel CPU * carveracontroller-community-\-AppleSilicon.dmg - MacOS with Apple CPU (M1 etc) * carveracontroller-community-\-x86\_64.appimage - Linux AppImage for x64 systems * carveracontroller-community-\-arm664.appimage - Linux AppImage for aarch64/arm64 systems * carveracontroller-community-\.apk - Android installable package * carvera\_controller\_community-\-py3-none-any.whl - Python wheel package ## Latest Development Version Dev builds of Carvera Controller Community are automatically compiled after every new commit to the `develop` branch. This means that each build incorporates the most recent changes and improvements. While these builds offer a glimpse into the ongoing development of Carvera Controller, keep in mind that they are still works in progress and may contain bugs or unstable features. The latest dev build files can always be accessed [here](https://github.com/Carvera-Community/Carvera_Controller/releases/tag/dev). The release notes section on that page shows what new functionality has been added. ## Python Package It's best to use one of the pre-built packages as they they have frozen versions of tested dependencies and python interpreter, however if you prefer the software can be installed as a Python package. This might allow you to use a unsupported platform (eg raspi 1) provided that the dependencies can be met. ``` pip install carvera-controller-community ``` Once installed it can be run via the module ``` python3 -m carveracontroller ``` ## Linux Container The container image is available on [GitHub Container Registry](https://ghcr.io/carvera-community/carvera-controller) with the following tag patterns: * latest - The latest tagged release version * dev - The latest development build * x.y.z - A specific tagged version The latest released version can be pulled with the following command: ``` docker pull ghcr.io/carvera-community/carvera-controller-:latest ``` Where `` is `x64` or `arm64` depending on your system architecture. To run the docker image, use the following command: ``` docker run -p 5900:5900 -p 8080:8080 -v /path/to/config:/config ghcr.io/carvera-community/carvera-controller-:latest ``` The application can then be accessed via a web browser at `http://:8080` or via a VNC client at `:5900`. The VNC connection does not require a password. See [Controller in Web Browser](/docs/controller/features/controller-in-a-web-browser.md) for more details on this functionality. ## iOS The iOS build of the Carvera Community Controller is available on the [Apple App store](https://apps.apple.com/us/app/carvera-community-controller/id6743028299). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://carvera-community.gitbook.io/docs/controller/where-to-get.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.