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Anaconda
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Anaconda

Overview
Synopsis

Anaconda is an open data science platform powered by Python. The open source version of Anaconda is a high performance distribution of Python and R and includes over 100 of the most popular Python, R and Scala packages for data science.

Category

Predictive Analytics Software

Features

• Analytics Workflows
• Analytics Interaction
• High Performance Distribution
• Data Engineering
• Advanced Analytics
• High Performance Scale Up
• Reproducibility
• Analytics Deployment

License

Proprietary

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Website
What is best ?

• Analytics Workflows
• Analytics Interaction
• High Performance Distribution
• Data Engineering
• Advanced Analytics
• High Performance Scale Up
• Reproducibility

What are the benefits ?

• Accelerate streamline of data science workflow from ingest through deployment
• Connect all data sources to extract the most value from data
• Create, collaborate and share with the entire team
• Develop project
• Deploy secure and scalable data

Rating
Our Rating
User Rating
Ease of use
7.8
Features & Functionality
7.8
Advanced Features
7.7
Integration
7.6
Customer Support
7.6
Performance
7.7
Training
Implementation
Renew & Recommend
Bottom Line

Anaconda Distribution gives superpowers to people that change the world with high performance, cross-platform Python and R that includes the best innovative data science from open source.

7.7
Our Rating
User Rating
You have rated this

Anaconda is an open data science platform powered by Python. The open source version of Anaconda is a high performance distribution of Python and R and includes over 100 of the most popular Python, R and Scala packages for data science. There is also access to over 720 packages that can easily be installed with conda, the package, dependency and environment manager, that is included in Anaconda.Includes the most popular Python, R & Scala packages for stats, data mining, machine learning, deep learning, simulation & optimization, geospatial, text & NLP, graph & network, image analysis. Featured packages include: NumPy, SciPy, pandas, scikit-learn, Numba, PyTables, h5py, Matplotlib, Jupyter (formerly IPython), Spyder, Qt/PySide, VTK, Numexpr, Cython, Theano, scikit-image, NLTK, NetworkX, IRKernel, dplyr, shiny, ggplot2, tidyr, caret, nnet.

Anaconda Distribution gives superpowers to people that change the world with high performance, cross-platform Python and R that includes the best innovative data science from open source. Using over 720 packages for data preparation, data analysis, data visualization, machine learning and interactive data science applications that deliver results - everything from discovering gravitational waves to creating new revenue channels. Anaconda Repository gives data science teams a way to easily reproduce, publish and deploy data science assets. Packages, notebooks and environments can be discovered and shared to increase team productivity and ensure consistency. Anaconda Scale divides and conquers data science workloads easily to take advantage of clusters and deliver cost-effective production results.

Anaconda

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Ease of use
Features & Functionality
Advanced Features
Integration
Customer Support
Performance
Training
Implementation
Renew & Recommend

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