Complete Data Science software suit.
June 15, 2021

Complete Data Science software suit.

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Anaconda

The teams which are working on analytics-based projects are using Anaconda/Anaconda Navigator for various other tools. Like building small applications using python on Spyder is used in it. Also for reporting and visualization R and Orange has used it.

Used department and Teams wise as per the requirement from the stakeholders. Not every team is using this navigator.
  • Complete package to build or work on data science projects.
  • All the latest modules/packages are installed very easy just with anaconda prompt.
  • We can use Jupyter notebook from it very easily and together we can work on Spyder as well.
  • It works very fast, if the system has 16GB ram then its data processing speed is also very high.
  • More graphics need in Spyder book. If you work for couple of years then you will be bored with the graphics.
  • Extra tools are required for making it secure. We uses extra tools for adding Username /Password to Jupyter.
  • R Studio Hangs a lot when open from Anaconda Navigator.
  • Jupyter and Spyder
  • Package/Modules installation
  • Statistical Programming using R
  • Data Visualization using Orange
  • It gave all the positive returns.
  • We used its free trials versions and all worked very much fine
  • Our built project was very high in quality and all very giving high accuracy.
This is an open source tool and used very easily. All the notebooks are under one navigator solved the whole problem.

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This will suit to any kind of work now days. We have built many data science applications using Anaconda Navigator. This is very easy to use and can be used for any work. We have used it for Image processing projects and worked very much accurately as we were able to install all the latest packages.

Anaconda Feature Ratings

Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
MDM Integration
Interactive Data Analysis
Interactive Data Cleaning and Enrichment
Data Transformations
Data Encryption
Built-in Processors
Multiple Model Development Languages and Tools
Automated Machine Learning
Single platform for multiple model development
Self-Service Model Delivery
Flexible Model Publishing Options
Security, Governance, and Cost Controls