![]() ![]() #Miniconda vs anaconda installThere is no disk space available to install more than 150 packages in one go.You are okay with installing all the requisite packages individually.You do not want to go through individually installing all the packages that you may need.You have time, will need only a few minutes.You prefer the convenience of having Python and other 150 scientific packages installed automatically in a single go.The next thing you should know is when to pick Anaconda vs. Hopefully, now, you know what is Miniconda, Anaconda, and Conda. Miniconda is a small repository management system and comprises only a few packages, whereas Anaconda is a whole distribution comprising about 150 built-in packages. ![]() So, when you try to understand Miniconda, you can think of it as a smaller version of Anaconda. Packages – Miniconda has a few packages, whereas Anaconda has more than 150 data science packages.Interface – The GUI is the Navigator in Anaconda, whereas Miniconda has a command-like interface.Primarily, there are two key differences between Miniconda and Anaconda. ![]() So, now, to help you understand what is Miniconda and its relationship with Anaconda, we will help you understand the differences between these two apps.ĭifference between Miniconda and Anaconda #Miniconda vs anaconda softwareTo choose between Anaconda and Miniconda, you must understand what is Miniconda, and its relationship with Anaconda.īoth Miniconda and Anaconda are software distributions, which are prevalently employed in data science to streamline package management and deployment. However, the more advanced versions are licensed software, such as software as a service or SAAS. Similar to what is Miniconda, there are other specific function software versions of Anaconda too. Miniconda is a type of Anaconda.Īnaconda is open source and created or coded on Python, which functions and exists independently, whereas Miniconda’s functions are mainly concentrated and restricted to Python and related functions. It is the core or heat of the functioning of Anaconda. So, broadly, Conda is a packet management system. Understanding Conda, Miniconda, and Anaconda RelationshipĬonda is the umbrella term, which covers both Anaconda and Miniconda. All you have to do is provide them with a copy of the environment.YAML file and that is all. Hence, switching between environments is seamless. Moreover, activating or deactivating the environments is easy. So, even when one environment is changed, the other environments will not be affected. It comprises Python, Conda, the package they rely on, and a few applicable packages, such as zlib, pip, and others.Īfter briefing you on Miniconda, the next thing you must know is Conda environment? First, you can understand the Conda environment as a directory, which comprises a certain number of Conda packages, which you have installed.įor instance, you have one environment with NumPy 1.6 for legacy testing and another with NumPy 1.7 and its dependencies. Broadly, to understand Miniconda is, you can think of it as a tiny, bootstrap version of Anaconda. #Miniconda vs anaconda freeMiniconda: Uses, Requirements, and Installationįirst things first, what is Miniconda? It is a free minimal Conda Installer. ![]()
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