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Anaconda

Anaconda

Overview

What is Anaconda?

Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research.…

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Learn from top reviewers

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Pricing

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Free Tier

$0

Cloud
per month

Starter Tier

$9

Cloud
per month

Business Tier

$50

Cloud
per month per user

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visitwww.anaconda.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Introducing Anaconda Distribution for Python in Excel

YouTube

Introducing: Anaconda Assistant

YouTube

Anaconda for Open-Source Security with Python and R

YouTube

AI Development in the Enterprise with Anaconda's Data Science Platform

YouTube
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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

9.3
Avg 8.4

Data Exploration

Ability to explore data and develop insights

8.5
Avg 8.4

Data Preparation

Ability to prepare data for analysis

9
Avg 8.2

Platform Data Modeling

Building predictive data models

9.2
Avg 8.5

Model Deployment

Tools for deploying models into production

9.5
Avg 8.6
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Product Details

What is Anaconda?

Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.


Anaconda Features

Platform Connectivity Features

  • Supported: Extend Existing Data Sources

Data Exploration Features

  • Supported: Visualization
  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Data Transformations
  • Supported: Data Encryption

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Automated Machine Learning
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Anaconda Integrations

Anaconda Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo
Supported CountriesGlobal

Frequently Asked Questions

Dataiku, Domino Enterprise MLOps Platform, and Posit are common alternatives for Anaconda.

Reviewers rate Single platform for multiple model development and Flexible Model Publishing Options highest, with a score of 10.

The most common users of Anaconda are from Enterprises (1,001+ employees).
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Comparisons

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Reviews From Top Reviewers

(1-5 of 38)

Must Have for ML/DL, Data Analytics, Software Development and Deployment.

Rating: 10 out of 10
December 18, 2024
RS
Vetted Review
Verified User
Anaconda
7 years of experience
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.

The best and easiest data analysis tool

Rating: 10 out of 10
July 05, 2022
AA
Vetted Review
Verified User
Anaconda
3 years of experience
We said Anaconda for Python does data science activities, Anaconda for Python does it perfectly, and it's open-source too, Anaconda includes many very suitable for beginners standard data science packages and science libraries inside. It is easy to install on any operating system you want, and it is considered the best data science version control tool at present.

One stop data science destination - Anaconda

Rating: 9 out of 10
June 25, 2021
RV
Vetted Review
Verified User
Anaconda
3 years of experience
As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.

Best IDE for Data Science Projects

Rating: 8 out of 10
October 07, 2021
ZR
Vetted Review
Verified User
Anaconda
2 years of experience
Anaconda is well suited for data science projects. If you are working with multiple projects, it [is] easy to build different environments for the requirements of the project. Easy interaction with [the] notebook for data collection, pre-processing, transforming, training, and visualizing. Sometimes, we are unable to update the libraries due to some security patches.

Anaconda for Data Science!

Rating: 10 out of 10
June 12, 2021
AC
Vetted Review
Verified User
Anaconda
4 years of experience
Being a Data Science and Analyst professional Anaconda is the go to place for all the softwares.
Easy to access Jupyter, RStudio and gives direct access to your files in your PC. It is compatible to install as many libraries required for the work you do. I have worked with large live data for a project on RStudio and it let me easily connect to it, though the system crashed sometimes when I tried to execute the entire code but it always created a recovered file of the changes I made. So that was one of the features I really liked.
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