Average Ratings 9 Ratings

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ease
features
design
support

Average Ratings 0 Ratings

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ease
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Description

Empowering businesses to engage in genuine data science quickly and effectively through a comprehensive machine learning platform is crucial. By minimizing the time spent managing tools and infrastructure, organizations can concentrate on developing machine learning applications that drive growth. Anaconda Enterprise alleviates the challenges associated with ML operations, grants access to open-source innovations, and lays the groundwork for robust data science and machine learning operations without confining users to specific models, templates, or workflows. Software developers and data scientists can seamlessly collaborate within AE to create, test, debug, and deploy models using their chosen programming languages and tools. Additionally, AE facilitates access to both notebooks and integrated development environments (IDEs), enhancing collaborative efficiency. Users can also select from a variety of example projects or utilize preconfigured projects tailored to their needs. Furthermore, AE automatically containerizes projects, ensuring they can be effortlessly transitioned between various environments as required. This flexibility ultimately empowers teams to innovate and adapt to changing business demands more readily.

Description

Elevate your security testing experience, from establishing your setup to examining your data processing outcomes, with esDynamic, which streamlines your efforts and saves you precious time while maximizing the effectiveness of your attack strategies. Explore this adaptable and all-encompassing Python-based platform, expertly designed to support every step of your security evaluations. Tailor your research environment to fit your specific needs by seamlessly incorporating new tools, integrating equipment, and adjusting data. Moreover, esDynamic offers a vast repository of resources on intricate subjects that would usually necessitate considerable research or the input of a specialized team, providing immediate access to expert knowledge. Move away from disorganized data and piecemeal information. Embrace a unified workspace that encourages your team to easily exchange data and insights, enhancing collaboration and speeding up the discovery process. Additionally, consolidate and fortify your work within JupyterLab notebooks for streamlined sharing among your team members, ensuring everyone is on the same page. This holistic approach can significantly transform your security testing workflow.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Data Science Virtual Machines
Azure Marketplace
Dask
Domino Enterprise AI Platform
IBM watsonx.data
Jovian
JupyterLab
Kixie PowerCall & SMS
NVIDIA RAPIDS
OpenSCAP
Python
Thunder Compute
esChecker
statsmodels

Integrations

Azure Data Science Virtual Machines
Azure Marketplace
Dask
Domino Enterprise AI Platform
IBM watsonx.data
Jovian
JupyterLab
Kixie PowerCall & SMS
NVIDIA RAPIDS
OpenSCAP
Python
Thunder Compute
esChecker
statsmodels

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Anaconda

Country

United States

Website

www.anaconda.com/enterprise/

Vendor Details

Company Name

eShard

Country

France

Website

eshard.com/esdynamic

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Alternatives

Alternatives

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JupyterLab

Jupyter