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What is IPy?
The IP class offers an intuitive way to interpret and handle different notations related to both IPv4 and IPv6 addresses and networks. While it is heavily influenced by the design of RIPE’s Perl module NET::IP, it takes a distinct path in its implementation. Importantly, it does not support non-CIDR netmasks, excluding unusual formats such as a netmask represented by 0xffffff0f. This class can identify approximately twelve unique formats for representing IP addresses and networks, effectively differentiating between IPv4 and IPv6. Most of the class methods that return a string include an optional parameter named ‘wantprefixlen,’ which determines if the output includes the prefix length or netmask. By default, the prefix length is provided when a network contains multiple addresses; however, these defaults can be adjusted per object through changes to the class attributes. This level of customization allows developers to modify the output according to their specific requirements, enhancing the class's utility in various applications. Consequently, the IP class stands out as a robust tool for developers working with IP addressing and networking.
What is DaData?
Thorough data on addresses and businesses is essential, offering in-depth insights into clients and counterparties. Such information underpins a variety of operations including sales, marketing, logistics, distribution, scoring, and analytics. The system not only automates the verification, correction, and geocoding of addresses but also provides comprehensive details about companies, entrepreneurs, and financial institutions. Furthermore, it extracts full names from text and cross-references passport information with the Ministry of Internal Affairs' database. It also validates phone numbers against Rossvyaz to determine the operator and filters out disposable email addresses. In the Russian context, it identifies cities using postal codes linked to IP addresses and can conduct bulk checks and corrections of contact information via files or APIs. This tool enables the prompt and precise entry of critical data, encompassing addresses, company and bank information, full names, and emails. It also recognizes duplicate and similar clients, addresses, phone numbers, or retail sites while uncovering overlaps among various target demographics for marketers. By optimizing data collection and validation workflows, it significantly boosts marketing strategies and enhances overall operational effectiveness, ensuring that businesses can make informed decisions rapidly. Such advancements in data management are vital for maintaining a competitive edge in today’s fast-paced market environment.
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
$65 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
IPy
Company Website
pypi.org/project/IPy/
Company Facts
Organization Name
DaData.ru
Date Founded
2012
Company Location
Russia
Company Website
dadata.ru/
Categories and Features
Categories and Features
Sales Intelligence
CRM Integration
Data Cleaning
Data Enrichment
Data Import/Export
Data Mining
Data Verification
Email Integration
Lead Scoring
List Building
Performance Management
Pipeline Management
Predictive Modeling/Analytics
Prospecting Tools
Reporting/Analytics
Sales Forecasting