templates
miniforge
templates | miniforge | |
---|---|---|
12 | 56 | |
790 | 5,306 | |
3.3% | 3.4% | |
7.3 | 7.7 | |
30 days ago | 6 days ago | |
Shell | Shell | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
templates
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Creating a movie finder app with Streamlit and OMDb API
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { "name": "Python 3", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye", "customizations": { "codespaces": { "openFiles": [ "README.md", "streamlit_app.py" ] }, "vscode": { "settings": {}, "extensions": [ "ms-python.python", "ms-python.vscode-pylance" ] } }, "updateContentCommand": "[ -f packages.txt ] && sudo apt update && sudo apt upgrade && sudo xargs apt install -y
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Microsoft Docker Development Container Templates
Ooo, they have one for rails + postgres!
https://github.com/devcontainers/templates/tree/main/src/rub...
- .devcontainer Containerized environment workflow
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ChatGPT Meets GitHub Codespaces: How I'm Optimizing ChatGPT Quickstart Plugins for Remote Development
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { "name": "Python 3", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/python:0-3.11-bullseye", "features": { "ghcr.io/devcontainers-contrib/features/coverage-py:2": {} } // Features to add to the dev container. More info: https://containers.dev/features. // "features": {}, // Use 'forwardPorts' to make a list of ports inside the container available locally. "forwardPorts": [5003], // Use 'postCreateCommand' to run commands after the container is created. "postCreateCommand": "pip install -r requirements.txt", "postAttachCommand": ".devcontainer/addcodespacename.sh && python main.py", // Configure tool-specific properties. "customizations": { "codespaces": { "openFiles": [ ".well-known/ai-plugin.json", "openapi.yaml" ] } } } // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "remoteUser": "root" }
- GitHub + Dev Hackathon 2023 - Self-hosted Azure Pipelines Agent Codespace/Dev Container
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How to Build a Kafka Producer in Rust with Partitioning
$ cd tracing_publisher $ mkdir .devcontainer $ cat > .devcontainer/devcontainer.json // For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/rust { "name": "Rust", "service": "rust-log-processing", "dockerComposeFile": "../docker-compose.yml", "features": { "ghcr.io/devcontainers/features/rust:1": {} }, "workspaceFolder": "/workspaces/${localWorkspaceFolderBasename}", "shutdownAction": "stopCompose" }
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Run self-hosted GitHub runners on GitHub Codespaces (Video Tutorial)
Based on a previous blog post, this devcontainer is now publicly available as a template for anyone to use at Dev Container Templates and integrated with publicly available Codespace images.
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How to get the best Conda environment experience in Codespaces
When you start a Codespace for a project, it will try to use whatever Dev Container you have specified in your repo, else it will try to use a kitchen sink container. That default kitchen sink is can be way too much and so if you will be working with Conda environments with an Anaconda or Miniconda Dev Container template instead.
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Configure Python Formatter and Linter for a VSCode Dev Container
This example uses the Docker in Docker dev container. There are others that may suit you better, feel free to customize to your needs. This example doesn’t rely on the exact type of dev container used.
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Take your development environment anywhere and on any machine with Dev Containers.
there are already built docker images for common development environment. You can either use one of them, or build one from Docker file. Using a pre-built dev container doesn't mean you are only limited to that image, because you can still add other tools, which they are called features to that image. For a list of the pre-built templates check here, and for the other features that you can add check this. You don't need a Docker file, unless you want to build your dev environment step by step.
miniforge
- Python 3.12
- Installing Anaconda on ChromeOS using Linux
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What is the difference between chat, cai-chat, and instruct, and how to use them?
Nope they don't use venv for any of the oobabooga# variants nor is it recommended for the git version. I'm using https://github.com/conda-forge/miniforge#mambaforge-pypy3 (better version of the recommended conda) for the git variant. The oobabooga* variant uses micro/miniconda (I suck with names) which you can easily drop into with cmd_?something? and does it all internally. Like whoever built that whole environment setup for the _windows/linux/mac did a great job.
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Build llama.cpp on Jetson Nano 2GB
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh .
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PSA: conda-libmamba-solver can cut two hours off of your Anaconda install, but has only 47 GitHub stars. It deserves more praise.
Mambaforge!
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A quick guide to using mamba-forge for python virtual environment management
Just to further clarify: you don't need mamba to avoid the Anaconda distribution. The place you get mambaforge also supplies (and originally supplied) miniforge, which is miniconda with conda-forge set as the default channel. All the *forge installers do in this regard is automatically set conda-forge as the default (and only) channel, which is something one can do manually with miniconda.
- Recommendations for Data Science Workflow
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path issue - cannot import modules in jupyter installed via pip3 (m1 mac)
I'd recommend using miniforge if you're comfortable with CLIs, otherwise https://www.anaconda.com/.
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How to get the best Conda environment experience in Codespaces
Tip 1: To use less of your Codespaces resources start with a smaller image like Miniconda or Miniforge and install only what you need.
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Ask HN: Programs that saved you 100 hours? (2022 edition)
miniforge, no need to deal with conda environments anymore. https://github.com/conda-forge/miniforge
What are some alternatives?
kcat - Generic command line non-JVM Apache Kafka producer and consumer
mamba - The Fast Cross-Platform Package Manager
features - A collection of Dev Container Features managed by Dev Container spec maintainers. See https://github.com/devcontainers/feature-starter to publish your own
pyenv - Simple Python version management
features - A collection of development container 'features' for machine learning and data science
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
conda-devcontainer-demo - Mini Conda + Mamba dev container setup to make working with environments easy.
Poetry - Python packaging and dependency management made easy
docked - Running Rails from Docker for easy start to development
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
tracing-blog-post - Example code for a blog post about tracing
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more