mamba
quetz
| mamba | quetz | |
|---|---|---|
| 34 | 1 | |
| 6,280 | 264 | |
| 2.9% | 1.1% | |
| 9.5 | 7.0 | |
| 7 days ago | 12 days ago | |
| C++ | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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.
mamba
-
Minimal implementation of Mamba, the new LLM architecture, in 1 file of PyTorch
>"everyone" seems to know Mamba. I never heard of Mamba
Only the "everybody who knows what mamba is" are the ones upvoting and commenting. Think of all the people who ignore it. For me, Mamba is the faster version of Conda [1], and that's why I clicked on the article.
https://github.com/mamba-org/mamba
-
Towards a New SymPy
Yes, this is a big disadvantage. But have you tried Mamba that aims at implementing Anaconda more efficiently? It works really well in most cases.
https://mamba.readthedocs.io/
-
Why are the bioconda bioconductor packages so slow to update?
Because conda is very slow at resolving dependencies. Mamba (https://github.com/mamba-org/mamba) is faster if that is your goal
-
Is pip gaining on conda for python libs?
use mamba instead
-
Real-world examples of std::expected in codebases?
We started using tl::expected in https://github.com/mamba-org/mamba/ since the beginning of this year and some other related projects like https://github.com/mamba-org/powerloader . I don't know much other big open-source codebases that use that specific lib.
- Mamba: A Drop-In Replacement for Conda Written in C++
-
What's Great about Julia?
Great writeup. Minor comment about the portion of the post mentioning Conda being glacially slow: Mamba [1] is a much better drop-in replacement written in C++. Not only is it significantly faster, but error messages are much more sane and helpful.
That being said, I do agree that Pkg.jl is much more sleek and modern than Conda/Mamba.
[1]: https://github.com/mamba-org/mamba
- Mamba Reaches 1.0
-
Given Rust’s rapidly growing popularity and wide range of use cases, it seems almost inevitable that it will overtake Python in the near future.
I thought that python could live a little longer when I learned about mamba. But then I found out it is written in C++? Why write a package manager for a dying language in a language that is almost dead???
-
Does anyone use virtual environments (Conan's virtual env. or Conda's) for C++
Yes, I use Conda enviroments (actually I use Mamba to manage them now).
quetz
What are some alternatives?
miniforge - A conda-forge distribution.
mamba
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
pip - The Python package installer
pyenv - Simple Python version management
conda-lock - Lightweight lockfile for conda environments
pyre-check - Performant type-checking for python.
pypiserver - Minimal PyPI server for uploading & downloading packages with pip/easy_install
devpi - Python PyPi staging server and packaging, testing, release tool
helm - The Kubernetes Package Manager
Poetry - Python packaging and dependency management made easy
template-python-hello-world - :triangular_ruler: Python Hello World | Minimal template for Python development