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The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders
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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?

7 companies reportedly use Anaconda in their tech stacks, including Nutmeg, Data analysis, and ADEXT.

56 developers on StackShare have stated that they use Anaconda.

Anaconda Integrations

Python, Visual Studio, PyCharm, Visual Studio Code, and Atom-IDE are some of the popular tools that integrate with Anaconda. Here's a list of all 5 tools that integrate with Anaconda.

Why developers like Anaconda?

Here鈥檚 a list of reasons why companies and developers use Anaconda
Top Reasons
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Anaconda Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Anaconda in their tech stack.

Guillaume Simler
Guillaume Simler
at | 4 upvotes 20.7K views

Jupyter Anaconda Pandas IPython

A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.

The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead

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Anaconda Alternatives & Comparisons

What are some alternatives to Anaconda?
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鈥檚 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!
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
See all alternatives

Anaconda's Followers
46 developers follow Anaconda to keep up with related blogs and decisions.
fabiano filho
Gustavo Castro
Jeovani Marcos Morales Nieto
Timothy Yalugin
Sandiso Nkosi
Uyen Le
Troy Bland
bharathwaj 1421