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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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Recent Reviews

TrustRadius Insights

Anaconda is a versatile tool that has found widespread use across various departments and teams within organizations. It is highly …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 16 features
  • Data Transformations (25)
    9.6
    96%
  • Visualization (24)
    9.5
    95%
  • Extend Existing Data Sources (23)
    8.9
    89%
  • Interactive Data Analysis (23)
    8.9
    89%
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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

9.4
Avg 8.4

Data Exploration

Ability to explore data and develop insights

9.2
Avg 8.4

Data Preparation

Ability to prepare data for analysis

9.4
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 8.5
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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 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 Connect to Multiple Data Sources highest, with a score of 9.7.

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

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Reviews and Ratings

(144)
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Attribute Ratings

Reviews

(1-25 of 31)
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Ammar Aboalrub | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
There are several reasons why Anaconda is better to use for me including that it is much easier to use than Baycharm. Also, the user interface is not as complicated as that of Baycharm. Even Anaconda does not slow down my device, using PaySharm slowed down my device in an indescribable way.
Zayed Rais | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
In Anaconda, [it is easy] to find and install the required libraries. Here, we can work on multiple projects with different sets of the environment. [It is] easy to create the notebook for developing the ML model and deployment. Right now, it is the best data science version control tool in the IT software market.
Jay Thakkar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I have used many other tools for coding purposes.
But for python programming, the best fit tool is Anaconda.
Memory management is best in Anaconda.
The user interface is simple to compare to other tools.
We can know how many libraries are included and keep track of that.
Overall it is a great tool.

June 28, 2021

Anaconda Review

Dilip Jain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
On top of all the software that I have used, Anaconda is the best because in Anaconda we have built-in packages that provide no headache to install packages and we can design a separate environment for different projects. Anaconda has versions made for special use cases. Anaconda is designed for Python developers who need distribution supported by a commercial provider and corporate sponsorship programs. Major cases of Anaconda Python usage statistics, statistics, engineering, data analysis, machine learning, and related applications. Another advantage is the way Anaconda handles items from outside the Python ecosystem when they are prioritized in a particular package. Conda packages, designed specifically for Anaconda, address the installation of Python packages and external software requirements.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
One of the main competitors to Anaconda can be Google products such as Colab. Colab gives you the flexibility to handle large datasets gives it an edge over Anaconda. But again, the ease of access and usability of Anaconda stacks up against Colab. Besides, Anaconda relies more on your machine which makes it safe to use.
Gabriel Krahn | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It is almost dishonest to compare Anaconda with PyCharm as they do different things in their basic forms unless you spend a lot of time configuring plugins on your PyCharm environment. Anaconda has a lot of things ready and you just need to install your libs and dependencies.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Anaconda has features which overpowers it over the other analytical tools I have used. Also it provides multiple ways to reach to the solution, depending on the developers expertise. When I was a beginner at using Anaconda, since it is open source and the community using Anaconda is massive it was easy to find solutions and help to my errors.
Fernanda Ministerio | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Some analyzed tools, such as PyCharm and Spyder, are simpler to use but still do not have all the libraries needed for those starting out in data science--or in institutions that need to grow in that direction. Anaconda is more robust but stable, more complete, and the usability is very good for professionals. Anaconda is also more popular and user groups often exchange information and codes generated in Anaconda. This makes it easier to find information, other libraries, and learning in general for companies that are starting their data science processes.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
If the project is not large scale then Jupiter notebooks or Visual Studio Code serve well. If you don't have any dependency on Python versions, these IDEs can be well suited for fast development and deployment.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Anaconda includes many standard data science packages where as the regular python installation does not.
Depending on use case, some may feel Anaconda may be "bloated"
For ease Anaconda is better, for minimizing extraneous package installation, the regular python installer is better
Anaconda is great for a beginner data scientist
April 16, 2021

Review for Anaconda

Tigran Petrosyan | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I know that PyCharm is a IDE and Anaconda is a distribution. However I use Anaconda largely due to Jupyter Notebook, which more or less does the same job as PyCharm. 1 year ago I decided to use Anaconda (Jupiyer Notebook) as it is easier to use it as a beginner(at least my friends said so). Now I can verify that . Now I use Jupyter Notebook as I do not have large projects
Ryan McGarry | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is more of a pay-as-you-go alternative, which not only does not use Python but is also more bloated and costly. MATLAB takes longer to install, setup, and configure for new users who may require specific packages - such as the Classification Learner (machine learning), Signal Processing Application, or Regression Learner application. Furthermore, far fewer developers recommend MATLAB in developing scientific applications compared to Python.
Xiaotong Song | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Compare Anaconda to Unix coding system. You can use PIP to install and create requirement.txt to replace environment.yml to avoid using Anaconda. However, Anaconda is such an excellent tool to maintain your environment and check the version of your package and update the package whenever needed, which is not available elsewhere.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Anaconda is very strong in the environment and version control that make data science work much easier. The only thing that might be comparable to Anaconda would be using Kubernetes to control Docker. Another potential improvement would be replacing spyder with PyCharm and Atom in the software selection under Anaconda navigation.
Score 10 out of 10
Vetted Review
Verified User
Anaconda gives freedom to do anything with its packages, compared to other non-programming language-based softwares. It is almost possible to do anything with Anaconda. Anaconda brings ease of integrity because it is possible to integrate anything with a Python Py script, compared to other low integrity software packages. Not to mention it is very easy to read from Databases with Anaconda. Overall it is the ability and freedom to do anything with Anaconda which caused us to choose and happily use it.
Matthew Deakyne | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
I prefer Anaconda due to the control I have at every level over the data and the visualizations. Power BI does a better job at guessing what graphics to use, but these usually aren't the most helpful. Anaconda and the slew of Python extensions that add incredible functionality, make it much more powerful without such a steep learning curve as Power BI.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Other systems might be easier to set-up but Anaconda is a fairly flexible analytics toolkit. It can be configured in a way that truly matches the way in which your business or analytics department works. Built on top of lots of open source projects so things aren't siloed and you can avoid vendor lock-in.
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