There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, Python, the packages they depend on, and a small number of other packages. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than Python. Package versions in Anaconda are managed by the package management system conda. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free.
![miniconda vs anaconda miniconda vs anaconda](https://i.stack.imgur.com/RBhY4.png)
It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. The distribution includes data-science packages suitable for Windows, Linux, and macOS.
#MINICONDA VS ANACONDA SOFTWARE#
Brendt Wohlberg for introducing Miniconda - Miniconda makes me switching from pip & virtualenv to conda.Programming language, machine learning, data scienceįreemium (Miniconda and the Individual Edition are free software, but the other editions are software as a service) Īnaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. I use Miniconda myself (because it is much more light weight than Anaconda) when I need to setup python programming environment and when I do not have sudo privilege, and I use Virtualenv when I have sudo access on the machine. It is much easier to setup conda rather than virtualenv for a regular (i.e., non sudo/root) user on a linux/Mac machine. Just want fast access to Python and the conda commands, and prefer to sorting out the other packages later.Ĭhoose Virtualenv only when you have sudo access to the machine you are working on.
#MINICONDA VS ANACONDA INSTALL#
Do not have time or disk space (about 3 GB) to install over 720+ packages (many of the packages are never used and could be easily installed when needed), and/or.Know what package(s) you need to install.Don’t want to install each of the packages you want to use individually.
![miniconda vs anaconda miniconda vs anaconda](https://chdoig.github.io/pydata2015-dallas-conda/images/repro-4.png)
![miniconda vs anaconda miniconda vs anaconda](https://i.ytimg.com/vi/-XEPKVqaXe0/maxresdefault.jpg)
![miniconda vs anaconda miniconda vs anaconda](https://img-blog.csdnimg.cn/20190528112206114.png)
Conda also creates a virtual environment, like virtualenv does.īoth Anaconda and Miniconda uses Conda as the package manager. The difference among Anaconda and Miniconda is that Miniconda only comes the package management system. Specifically, conda is a packaging tool and installer that aims to do more than what pip does it handles library dependencies outside of the Python packages as well as the Python packages themselves. Pip is a package manager, and virtualenv is an environment manager and conda is both. If you have used pip and v irtualenv in the past, you can use conda to perform all of the same operations. This post briefly introduces which to choose among Anaconda, Miniconda, and Virtualenv.