What users are saying about
Top Rated
81 Ratings
Top Rated
81 Ratings
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Score 9 out of 100
34 Ratings
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Score 8.6 out of 100

Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen | TrustRadius Reviewer

Jupyter Notebook

Jupyter Notebook is well suited if you want to do exploratory data analysis, draw observations and visualizations from it. Based on your analysis and visualization it can help you make better business decisions.It is less appropriate for any kind of python development as I have mainly used it for documentation, data handling, cleaning or visualizations.
Rahul Kapoor | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Anaconda
8.8
Jupyter Notebook
7.2
Connect to Multiple Data Sources
Anaconda
9.1
Jupyter Notebook
7.4
Extend Existing Data Sources
Anaconda
9.2
Jupyter Notebook
7.4
Automatic Data Format Detection
Anaconda
8.6
Jupyter Notebook
8.0
MDM Integration
Anaconda
8.3
Jupyter Notebook
6.0

Data Exploration

Anaconda
8.6
Jupyter Notebook
8.0
Visualization
Anaconda
8.7
Jupyter Notebook
8.0
Interactive Data Analysis
Anaconda
8.5
Jupyter Notebook
8.0

Data Preparation

Anaconda
8.5
Jupyter Notebook
7.0
Interactive Data Cleaning and Enrichment
Anaconda
8.7
Jupyter Notebook
7.2
Data Transformations
Anaconda
9.1
Jupyter Notebook
7.2
Data Encryption
Anaconda
7.7
Jupyter Notebook
6.8
Built-in Processors
Anaconda
8.6
Jupyter Notebook
6.7

Platform Data Modeling

Anaconda
8.8
Jupyter Notebook
7.8
Multiple Model Development Languages and Tools
Anaconda
9.4
Jupyter Notebook
8.4
Automated Machine Learning
Anaconda
8.3
Jupyter Notebook
7.8
Single platform for multiple model development
Anaconda
8.9
Jupyter Notebook
7.8
Self-Service Model Delivery
Anaconda
8.6
Jupyter Notebook
7.3

Model Deployment

Anaconda
9.0
Jupyter Notebook
7.2
Flexible Model Publishing Options
Anaconda
8.9
Jupyter Notebook
7.6
Security, Governance, and Cost Controls
Anaconda
9.2
Jupyter Notebook
6.8

Pros

Anaconda

  • First of all it is very easy to install and it is user friendly. You just download a Anaconda from its official site and you can start using it for coding (I usually code using Jupiter Notebook) Compared to Pycharm it is easier navigate in Anaconda(Jupiter Notebook)
  • For me it is a best environment to use if I have small projects. Jupiter Notebook is running tasks much faster compared to Pycharm and other IDE's.
  • In my work I usually need different scientific packages that are not commonly used. As Anaconda have thousands of libraries it helps me making my job easier
Tigran Petrosyan | TrustRadius Reviewer

Jupyter Notebook

  • Python
  • Markdown presentation
  • Easy to learn
  • Good organization
Jewon Ju | TrustRadius Reviewer

Cons

Anaconda

  • Anaconda could greatly benefit by integrating with Git and other versioning software.
  • The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
  • Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.
Ryan McGarry | TrustRadius Reviewer

Jupyter Notebook

  • Nicer output format for explanatory analysis.
  • Easy update on packages.
  • Better compatibility with AWS tools.
Yaxian Xie | TrustRadius Reviewer

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Matthew Deakyne | TrustRadius Reviewer

Jupyter Notebook

No score
No answers yet
No answers on this topic

Usability

Anaconda

Anaconda 8.9
Based on 2 answers
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
Juande Santander-Vela | TrustRadius Reviewer

Jupyter Notebook

Jupyter Notebook 10.0
Based on 1 answer
Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
Anonymous | TrustRadius Reviewer

Support Rating

Anaconda

Anaconda 8.9
Based on 16 answers
There is a lot of sources to get support for Anaconda based on the large data scientist or data engineer user community. Whenever you need something, you can type it in Google search, and you can find out people who had a similar problem and the solution for it.
Xiaotong Song | TrustRadius Reviewer

Jupyter Notebook

Jupyter Notebook 9.0
Based on 1 answer
I haven't had a need to contact support. However, all required help is out there in public forums.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Anaconda

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega | TrustRadius Reviewer

Jupyter Notebook

Anaconda uses Jupyter Notebook to run Python programs. Anaconda is a heavy IDE and installation takes time. Jupyter Notebook, being an open-source tool, allows you to edit documents with Python. Also, most online data science learning platforms use Jupyter Notebook to teach Python. It is convenient to use and embed Jupyter Notebook in websites.
Sridevi Patil | TrustRadius Reviewer

Return on Investment

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
Anonymous | TrustRadius Reviewer

Jupyter Notebook

  • It is open-source so completely free to use with regular updates
  • Helps to draw analysis, visualizations to make better decisions
  • Helped in making good business banking decisions
Rahul Kapoor | TrustRadius Reviewer

Pricing Details

Anaconda

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Anaconda Editions & Modules

Edition
Commercial Edition14.951
Team Edition$10,000
Enterprise EditionContact for quote
  1. per month
Additional Pricing Details

Jupyter Notebook

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Jupyter Notebook Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Anaconda
9.0
Jupyter Notebook
8.8

Likelihood to Renew

Anaconda
7.0
Jupyter Notebook

Usability

Anaconda
8.9
Jupyter Notebook
10.0

Support Rating

Anaconda
8.9
Jupyter Notebook
9.0

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