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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

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

Rating: 10 out of 10
December 18, 2024
IncentivizedVetted ReviewVerified User
We're using Anaconda for software further software for our clients. Earlier, I used both R and Python, but now I am mainly using it for Python. As we have multiple application...
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Ranu Singh
Manager - Research & Development
Technology Manager
Kainoos
Anaconda7 years of experience

The best and easiest data analysis tool

Rating: 10 out of 10
July 5, 2022
Vetted ReviewVerified User
Since my beginnings in the programming path I have been using it, and it is very difficult to do without it. It provided me with some software that I needed such as Spyder Edi...
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Ammar Aboalrub
Employee - Customer Service
Freelancer
Self Employed
Anaconda3 years of experience

Best IDE for Data Science Projects

Rating: 8 out of 10
October 7, 2021
IncentivizedVetted ReviewVerified User
Anaconda is the best tool for the data scientist to [develop] the machine learning project [under] a single umbrella. It is used [throughout] the whole organization. We are us...
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Zayed Rais
Professional - Information Technology
Program Analyst
Cognizant
Anaconda2 years of experience

One stop data science destination - Anaconda

Rating: 9 out of 10
June 25, 2021
IncentivizedVetted ReviewVerified User
My previous organization used Anaconda, Jupyter Notebook specifically to run sales forecasting codes in Python. At the time, it was specifically used by the E-Commerce and Buy...
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Rounak Verma
Employee - Engineering
Data Analyst
Shipt
Anaconda3 years of experience

Anaconda for Data Science!

Rating: 10 out of 10
June 12, 2021
IncentivizedVetted ReviewVerified User
Anaconda is being used by the Business Intelligence and Data Science department at my organization. It is used widely for analysis, forecasting and answering questions. For ex...
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Anomita Chandra
Supervisor - Other
Business Analyst
University of Texas at Dallas
Anaconda4 years of experience
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Pricing

View all pricing

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 8.3

Data Preparation

Ability to prepare data for analysis

9
Avg 8.2

Platform Data Modeling

Building predictive data models

9.2
Avg 8.4

Model Deployment

Tools for deploying models into production

9.5
Avg 8.5
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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 Competitors

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

View all alternatives
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Reviews From Top Reviewers

View all reviews
(1-5 of 38)

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

Rating: 10 out of 10
Incentivized
December 18, 2024
RS
Ranu Singh
Technology Manager
Kainoos (Information Technology & Services, 51-200 employees)
Vetted Review
Verified User
Anaconda
7 years of experience
Pros
  • Data Analysis.
  • Software Development in Python.
  • Machine Learning/Deep Learning model training and testing.
  • Code Deployments.
Cons
  • Sometimes, I have reached a situation where I am unable to download dependency using pip or conda, and I have to create whole new environments.
  • Once, I faced a very weird issue where I was unable to update or Launch Spyder and tried everything, and it didn't work.

The best and easiest data analysis tool

Rating: 10 out of 10
July 05, 2022
AA
Ammar Aboalrub
Freelancer
Self Employed (Computer Software, 1-10 employees)
Vetted Review
Verified User
Anaconda
3 years of experience
View profile
Pros
  • Ease of downloading anaconda
  • Open source, anyone can download it
  • it used in data science and big data analysis.
  • Extensive community support on social media and the internet.
Cons
  • I wish to add several times in cases when downloading Anaconda such as Spyder.

One stop data science destination - Anaconda

Rating: 9 out of 10
Incentivized
June 25, 2021
RV
Rounak Verma
Data Analyst
Shipt (Retail, 5001-10,000 employees)
Vetted Review
Verified User
Anaconda
3 years of experience
Pros
  • Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
  • Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
  • Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
Cons
  • It'd be great to see some good data visualization tools on Anaconda Navigator.
  • Its ability to handle large data source.
  • I'd like to see some themes for night coders like myself. Some good UI would be appreciated.

Best IDE for Data Science Projects

Rating: 8 out of 10
Incentivized
October 07, 2021
ZR
Zayed Rais
Program Analyst
Cognizant (Information Technology & Services, 10,001+ employees)
Vetted Review
Verified User
Anaconda
2 years of experience
View profile
Pros
  • Almost all required libraries are available in it.
  • Easy to create a notebook for a data science project.
  • [It is] flexible to work on multiple Python environments based on your requirements.
  • In [the] community, [it is] easy to find the forum [and] events.
Cons
  • [The] application [takes a lot of] time to load the first time.
  • Sometimes, it [stops working because it] consumes more ram.
  • [I would like it to] add some ready-made use case environments.

Anaconda for Data Science!

Rating: 10 out of 10
Incentivized
June 12, 2021
AC
Anomita Chandra
Business Analyst
University of Texas at Dallas (Information Technology & Services, 1001-5000 employees)
Vetted Review
Verified User
Anaconda
4 years of experience
Pros
  • It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
  • Easy installation of Anaconda even without much technical knowledge.
  • Easy to navigate through files in Jupyter and also to install new libraries.
  • R Studio in Anaconda is easy to use for complex machine learning algorithms.
Cons
  • It can have a cloud interface to store the work.
  • Compatible for large size files.
  • I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
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