lab-foundation
Making data science and AI accessible
Quickly set up Node.js environments with pnpm or bun in LabNow AI Docker images. LabNow AI simplifies your development workflow with modular shell helpers for dynamic installation.
Using Maven, Gradle, and Bazel in LabNow AI Container ImagesLeverage Maven Gradle and Bazel in LabNow AI container images. Access these build tools immediately for streamlined CI/CD with automated setup scripts. Accelerate your development workflow.
Adding Custom apt, pip, or conda Packages via Install Lists in LabNow AIEasily add custom apt, pip, or conda packages to LabNow AI containers by editing plain text install lists and committing changes for automatic rebuilds. Streamline your AI environment setup.
Handling Architecture-Specific Builds (x86_64 vs ARM64) with LabNow AILearn how LabNow AI handles architecture specific builds for x86_64 and ARM64. It automatically detects your CPU, translates identifiers, and downloads correct binaries for seamless integration.
How to Contribute to the LabNow AI Container Image Project: A Complete GuideLearn how to contribute to the LabNow AI container image project. Fork the repository, modify files, and submit a pull request for CI builds to Quay.io and Docker Hub.
Best Practices for Running LabNow AI Docker Images in Production EnvironmentsDeploy LabNow AI Docker images in production with best practices: pin tags, use non-root users, and manage persistent data. Optimize your LabNow AI deployments today.
Leveraging the GitHub Actions CI/CD Workflow for Building LabNow AI Images: A Complete GuideMaster the GitHub Actions CI/CD workflow to automate LabNow AI image builds. This guide covers matrix jobs, profile-driven Dockerfiles, and registry publishing for efficient image management.
Configuring JupyterLab or JupyterHub with LabNow AI Docker Images: A Complete GuideQuickly configure JupyterLab or JupyterHub with LabNow AI Docker images. Deploy powerful Python 3.12 environments in seconds using simple Docker commands. Get started today.
How to Use Pre-Installed Data Science Packages (NumPy, Pandas, scikit-learn) in LabNow AIEasily use NumPy Pandas and scikit-learn in LabNow AI. Our images include these data science packages pre-installed with the datascience profile for immediate use.
Optimizing Docker Image Size by Removing Unnecessary Packages in LabNow AIShrink LabNow AI Docker images significantly by removing unneeded packages. Learn techniques like layered builds, Conda replacement, and APT cache cleaning to reduce size.
How to Customize the Base Ubuntu Version (e.g., noble, focal) in LabNow AI BuildsEasily customize the Ubuntu base image for LabNow AI builds. Override the BASE_IMG argument to use your preferred Ubuntu version like noble or focal for tailored Docker environments.
LabNow AI Image Versioning and Tagging Strategy: A Complete Technical GuideExplore the LabNow AI image versioning and tagging strategy. Learn how Docker tags, GitHub Actions, and helper scripts ensure efficient image management in the lab-foundation repository.
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