Average Ratings 9 Ratings
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Description
Anaconda is an AI-native development platform that gives teams a governed path from early experimentation to production AI deployment. The platform is built around trusted open-source packages, secure Python package management, controlled environments, and production-grade orchestration. Anaconda helps organizations avoid broken environments, dependency conflicts, security gaps, and deployment delays that can slow AI initiatives. Anaconda Core provides validated packages, automated security scanning, and intelligent dependency conflict resolution for Python and data science teams. Its platform capabilities support AI orchestration, trusted distribution, and enterprise workflows for building and scaling models. Anaconda is widely used across the AI, data science, Python, and enterprise developer communities. The company positions open source as a foundation for AI innovation and emphasizes Python as a core language for the next era of AI development. Anaconda also provides learning courses, certifications, reports, guides, professional services, documentation, and support resources. By combining package governance, environment management, open-source security, and AI development workflows, Anaconda helps teams build trusted AI systems on their own terms.
Description
Microsoft is actively advancing its R-related offerings, evident not only in the latest release of Machine Learning Server but also in the newest versions of Microsoft R Client and Microsoft R Open. Furthermore, R and Python integration is available within SQL Server Machine Learning Services for both Windows and Linux platforms, alongside R support in Azure SQL Database. The R components maintain backward compatibility, allowing users to execute existing R scripts on newer versions, as long as they do not rely on outdated packages or platforms that are no longer supported, or on known problems that necessitate workarounds or code modifications. Microsoft R Open serves as the enhanced version of R provided by Microsoft Corporation, with the most recent release, Microsoft R Open 4.0.2, built on the statistical language R-4.0.2, offering additional features for better performance, reproducibility, and platform compatibility. This version ensures compatibility with all packages, scripts, and applications built on R-4.0.2, making it a reliable choice for developers and data scientists alike. Overall, Microsoft's dedication to R fosters an environment of continuous improvement and support for its users.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Azure HDInsight
No
Azure Marketplace
Yes
Domino Enterprise AI Platform
Yes
Enkrypt AI
Yes
IBM watsonx.data
Yes
Jovian
Yes
Juniper Identity Management Service
No
Jupyter Notebook
Yes
Kilo Code
Yes
Integrations
Amazon Web Services (AWS)
No
Azure HDInsight
Yes
Azure Marketplace
No
Domino Enterprise AI Platform
No
Enkrypt AI
No
IBM watsonx.data
No
Jovian
No
Juniper Identity Management Service
Yes
Jupyter Notebook
No
Kilo Code
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Anaconda
Founded
2012
Country
United States
Website
www.anaconda.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
mran.microsoft.com/rro
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
