What is Anaconda?
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
Anaconda is a tool in the Data Science Tools category of a tech stack.
Who uses Anaconda?
Companies
24 companies reportedly use Anaconda in their tech stacks, including tarfin, Machine Learning at FVST, and Dtect.
Developers
254 developers on StackShare have stated that they use Anaconda.
Anaconda Integrations
Python, Visual Studio Code, Visual Studio, PyCharm, and Atom-IDE are some of the popular tools that integrate with Anaconda. Here's a list of all 6 tools that integrate with Anaconda.
Decisions about Anaconda
Here are some stack decisions, common use cases and reviews by companies and developers who chose Anaconda in their tech stack.
Nelson Oyugi
Tan Zhong Ming
I am going to learn machine learning and self host an online IDE, the tool that i may use is Python, Anaconda, various python library and etc. which tools should i go for? this may include Java development, web development. Now i have 1 more candidate which are visual studio code online (code server). i will host on google cloud
Anaconda Alternatives & Comparisons
What are some alternatives to Anaconda?
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
PyCharm
PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
pip
It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
