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Description
Data science projects achieve success when data scientists possess the ability to independently create, enhance, and manage comprehensive workflows while prioritizing their data science tasks over engineering concerns. By utilizing Metaflow alongside popular data science libraries like TensorFlow or SciKit Learn, you can write your models in straightforward Python syntax without needing to learn much that is new. Additionally, Metaflow supports the R programming language, broadening its usability. This tool aids in designing workflows, scaling them effectively, and deploying them into production environments. It automatically versions and tracks all experiments and data, facilitating easy inspection of results within notebooks. With tutorials included, newcomers can quickly familiarize themselves with the platform. You even have the option to duplicate all tutorials right into your current directory using the Metaflow command line interface, making it a seamless process to get started and explore further. As a result, Metaflow not only simplifies complex tasks but also empowers data scientists to focus on impactful analyses.
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
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
Netflix
Country
United States
Website
metaflow.org
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
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