StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Product

  • Stacks
  • Tools
  • Companies
  • Feed

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy Policy
  • Terms of Service

© 2025 StackShare. All rights reserved.

API StatusChangelog
Anaconda
ByAnacondaAnaconda

Anaconda

#10in Development & Training Tools
Discussions2
Followers490
OverviewDiscussions2

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 Development & Training Tools category of a tech stack.

Key Features

Stay safe and secureDeliver on your data strategyGet to market fasterMaximize flexibility and control

Anaconda Pros & Cons

Pros of Anaconda

No pros listed yet.

Cons of Anaconda

No cons listed yet.

Anaconda Alternatives & Comparisons

What are some alternatives to Anaconda?

NumPy

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.

Pandas

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.

SciPy

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.

Dataform

Dataform

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

PySpark

PySpark

It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.

Pentaho Data Integration

Pentaho Data Integration

It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.

Anaconda Integrations

Starship (Shell Prompt), Label Sleuth, Python, PyCharm, Visual Studio Code and 3 more are some of the popular tools that integrate with Anaconda. Here's a list of all 8 tools that integrate with Anaconda.

Starship (Shell Prompt)
Starship (Shell Prompt)
Label Sleuth
Label Sleuth
Python
Python
PyCharm
PyCharm
Visual Studio Code
Visual Studio Code
Atom-IDE
Atom-IDE
Visual Studio
Visual Studio
EasyLM
EasyLM

Anaconda Discussions

Discover why developers choose Anaconda. Read real-world technical decisions and stack choices from the StackShare community.

Nelson Oyugi
Nelson Oyugi

Sep 5, 2020

Needs adviceonPythonPythonAnacondaAnaconda

As a novice which one should I go for first, Python or Anaconda?

0 views0
Comments
Guillaume Simler
Guillaume Simler

Sep 9, 2019

Needs adviceonJupyterJupyterAnacondaAnacondaPandasPandas

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
0 views0
Comments

Try It

Visit Website

Adoption

On StackShare

Companies
36
N1KLDF+30
Developers
407
BSBHGJ+401