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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
Robocorp's Open Source Gen2 RPA stands out as the fastest, most cost-effective automation platform globally, specifically designed for developers and teams aiming to enhance their efficiency. With this innovative platform, teams can effortlessly create, refine, and expedite automation processes while dramatically reducing the infrastructure demands associated with traditional Gen1 RPA tools. Utilizing Robocorp's solutions can lead to savings of up to 80% compared to the costs incurred with Gen1 tools. The technology provided by Robocorp allows developers to craft any automation solution their teams envision, employing a programmable framework that capitalizes on a robust open-source library and keyword ecosystem for reliable automation development. Built on a solid foundation of Python, the RPA framework enables developers to swiftly construct, integrate, deploy, analyze, and manage intricate automation tasks seamlessly. Furthermore, users can oversee, control, and visualize their automation efforts through a unified interface, ensuring a comprehensive overview of their operations and fostering continuous improvement. This holistic approach not only simplifies automation management but also drives innovation across various projects.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Jupyter Notebook
Yes
Python
Yes
Visual Studio Code
Yes
Azure Data Science Virtual Machines
Yes
Azure Marketplace
Yes
Dask
Yes
GitHub
No
Google Sheets
No
Kilo Code
Yes
Kilo Code Reviewer
Yes
Integrations
Jupyter Notebook
Yes
Python
Yes
Visual Studio Code
Yes
Azure Data Science Virtual Machines
No
Azure Marketplace
No
Dask
No
GitHub
Yes
Google Sheets
Yes
Kilo Code
No
Kilo Code Reviewer
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$100 per month
Free Trial
Yes
Free Version
Yes
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
No
Mac
No
Linux
No
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
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Anaconda
Founded
2012
Country
United States
Website
www.anaconda.com/enterprise/
Vendor Details
Company Name
Robocorp
Country
United States
Website
robocorp.com
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
Robotic Process Automation (RPA)
Analytics
No
Attended Automation
No
Code-free Development
No
Image Recognition
No
Optical Character Recognition
No
Process Builder
No
Third Party Application Integration
No
Unattended Automation
No
