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

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
4 companies use Anaconda in their tech stacks, including ADEXT, Luuna, and DLabs.

Developers
5 developers 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 5 tools that integrate with Anaconda.

Why developers like Anaconda?

Here’s a list of reasons why companies and developers use Anaconda
Top Reasons
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Anaconda Alternatives & Comparisons

What are some alternatives to Anaconda?
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.
NumPy
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.
SciPy
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.
Related Comparisons
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Anaconda's Stats

- No public GitHub repository available -