miniforge
xmake
Our great sponsors
miniforge | xmake | |
---|---|---|
56 | 163 | |
5,306 | 8,819 | |
8.1% | 3.8% | |
7.7 | 10.0 | |
4 days ago | 1 day ago | |
Shell | Lua | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
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
xmake
- Cpp2 and cppfront – An experimental 'C++ syntax 2' and its first compiler
- An Introduction to Modern CMake
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How to Structure C Projects: These Best Practices Worked for Me
In recent times I prefer Xmake[0] to CMake.
[0] https://xmake.io
- xmake: Fast and lightweight build tools with dependency package integration
- Xmake v2.8.5 released, Support for link sorting and unit testing
- Xmake v2.8.3 Released, Improve Wasm and Support Xmake Source Debugging
- Xmake v2.8.2 Released, Official package repository count over 1k
- Xmake v2.8.1 Released, Lots of Detailed Feature Improvements
What are some alternatives?
mamba - The Fast Cross-Platform Package Manager
meson - The Meson Build System
pyenv - Simple Python version management
cmake-init - The missing CMake project initializer
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
conan - Conan - The open-source C and C++ package manager
Poetry - Python packaging and dependency management made easy
imgui - Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
ninja - a small build system with a focus on speed
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
wxWidgets - Cross-Platform C++ GUI Library