|
gptkbp:instance_of
|
gptkb:software
|
|
gptkbp:developed_by
|
gptkb:Anaconda,_Inc.
|
|
gptkbp:features
|
Package management
Deployment tools
Environment management
Data science collaboration
|
|
gptkbp:has
|
Command line interface
Web-based interface
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Anaconda Enterprise
|
|
gptkbp:integrates_with
|
gptkb:Kubernetes
gptkb:Google_Cloud
gptkb:AWS
gptkb:Azure
gptkb:Docker
|
|
gptkbp:is_available_on
|
gptkb:Anaconda_Cloud
|
|
gptkbp:is_compatible_with
|
Machine learning frameworks
Python libraries
Visualization libraries
Data science frameworks
|
|
gptkbp:is_known_for
|
Flexibility
Scalability
Robustness
Ease of use
|
|
gptkbp:is_part_of
|
gptkb:Anaconda_Distribution
|
|
gptkbp:is_used_by
|
gptkb:educational_institutions
gptkb:organization
Research institutions
|
|
gptkbp:license
|
Commercial
|
|
gptkbp:marketed_as
|
Enterprise solution for data science.
|
|
gptkbp:offers
|
Collaboration tools
Version control
Monitoring and management tools
Enterprise-grade security
|
|
gptkbp:operating_system
|
Cross-platform
|
|
gptkbp:programming_language
|
gptkb:Python
|
|
gptkbp:provides
|
gptkb:Jupyter_Notebooks
Access control
User management
Data visualization tools
Collaboration features
Integrated development environment (IDE)
Model deployment capabilities
|
|
gptkbp:release_date
|
gptkb:2016
|
|
gptkbp:supports
|
gptkb:Python_3.x
gptkb:R_programming_language
gptkb:SQL
gptkb:Python_2.x
Big data
Machine learning
Data analytics
|
|
gptkbp:target_audience
|
Business analysts
IT professionals
Data scientists
Data engineers
|
|
gptkbp:uses
|
gptkb:Conda_package_manager
|
|
gptkbp:bfsParent
|
gptkb:Anaconda_Cloud
gptkb:Anaconda,_Inc.
|
|
gptkbp:bfsLayer
|
6
|