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What is Easy-IP?

Easy-IP is an efficient web-based tool designed for IP Address Management (IPAM), simplifying the management of your entire IP network infrastructure. With its advanced SNMP Network Discovery engine, Easy-IP ensures that you maintain an accurate and up-to-date inventory of all network devices. The platform enables dynamic allocation and monitoring of IP addresses, effectively reducing the likelihood of duplicate IP address conflicts. By utilizing this solution, organizations can cut their IP administration costs by as much as 50%. It also accommodates the administration of multiple tenants and overlapping IP address spaces with ease. Users can observe all their IPv4/IPv6 subnets, VLANs, IP addresses, DNS hostnames, and essential network devices such as routers, switches, and servers. Easy-IP boasts a user-friendly HTML5 web interface, automated subnet allocation for both IPv4 and IPv6, and quick SNMP network auto-discovery features. Moreover, it provides detailed role-based access controls, sophisticated import/export functions, and effective full-text search options to streamline navigation. The platform's flexible reporting capabilities and customizable fields further enhance its utility, while the integration of a web services SOAP API, SNMP MIB browser, and switch port mapper equips network managers with essential tools for thorough management. These comprehensive features make Easy-IP an invaluable resource for network administrators seeking to enhance their operational efficiency and effectiveness. Additionally, the platform's continuous updates ensure it remains aligned with the latest technological advancements in network management.

What is AutoDiscovery?

AutoDiscovery is a sophisticated software solution crafted for automated exploratory data analysis, enabling biomedical researchers to uncover complex relationships hidden within their experimental and clinical trial data. This innovative tool autonomously identifies the appropriate statistical tests required to assess the connections between different variable combinations in each data subset. AutoDiscovery effectively tackles prevalent challenges in biomedical research, such as discerning cause-effect relationships, managing false discovery rates, addressing small sample sizes, organizing treatment groups, and ensuring result traceability. Specifically designed for Principal Investigators, who often face time constraints and may lack extensive statistical knowledge, it allows them to focus on conducting significant and productive research endeavors. Additionally, this software streamlines research workflows, promoting faster insights and breakthroughs in the biomedical domain while empowering researchers to make data-driven decisions with confidence. By leveraging AutoDiscovery, researchers can enhance the overall quality of their findings and contribute more effectively to advancements in health science.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$495 one-time payment
Free Trial Offered?
Free Version

Pricing Information

€1.795 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Crypton Computers

Company Website

www.crypton.co.uk

Company Facts

Organization Name

Butler Scientifics

Date Founded

2014

Company Location

Spain

Company Website

www.butlerscientifics.com

Categories and Features

Network Monitoring

Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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