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What is ReSpark?

The recycling industry runs on speed, accuracy, and relationships. ReSpark was built to support all three. ReSpark is a software platform created specifically for scrap metal recyclers, helping yards manage the entire lifecycle of a transaction—from the moment material enters the gate to the moment it is sold, shipped, invoiced, and reconciled. Instead of relying on multiple systems, spreadsheets, and manual processes, recyclers can operate from one connected platform designed around the way scrap businesses actually work. The platform includes tools for scale ticketing, inventory management, material pricing, dispatch and transportation, purchase and sales orders, exports, compliance, payments, accounting workflows, reporting, and customer portals. ReSpark also leverages artificial intelligence to automate repetitive tasks, surface operational insights, and help teams work more efficiently. Whether you're a family-owned yard serving local peddlers, a processor handling industrial accounts, or a multi-location enterprise moving material around the world, ReSpark adapts to your operation. Real-time visibility across facilities, centralized data, customizable workflows, and industry-specific functionality help recyclers reduce administrative burden, improve margins, and make better decisions. More than software, ReSpark is a platform built by people who understand the recycling industry. Our mission is simple: help recyclers spend less time managing systems and more time growing their business. By bringing operations, finance, logistics, inventory, and customer management together in one place, ReSpark provides the foundation modern recycling companies need to scale confidently and compete in an increasingly complex market.

What is Deequ?

Deequ is a groundbreaking library designed to enhance Apache Spark by enabling "unit tests for data," which helps evaluate the quality of large datasets. User feedback and contributions are highly encouraged as we strive to improve the library. The operation of Deequ requires Java 8, and it is crucial to recognize that version 2.x of Deequ is only compatible with Spark 3.1, creating a dependency between the two. Users of older Spark versions should opt for Deequ 1.x, which is available in the legacy-spark-3.0 branch. Moreover, we also provide legacy releases that support Apache Spark versions from 2.2.x to 3.0.x. The Spark versions 2.2.x and 2.3.x utilize Scala 2.11, while the 2.4.x, 3.0.x, and 3.1.x releases rely on Scala 2.12. Deequ's main objective is to conduct "unit-testing" on data to pinpoint possible issues at an early stage, thereby ensuring that mistakes are rectified before the data is utilized by consuming systems or machine learning algorithms. In the upcoming sections, we will illustrate a straightforward example that showcases the essential features of our library, emphasizing its user-friendly nature and its role in preserving data quality. This example will also reveal how Deequ can simplify the process of maintaining high standards in data management.

Media

Media

Integrations Supported

Apache Spark
Google Maps
NetSuite
QuickBooks Desktop Premier
QuickBooks Desktop Pro
QuickBooks Enterprise
QuickBooks Online
QuickBooks Online Advanced
Sage 300
Sage 50
Sage Accounting
Sage Intacct
Xero

Integrations Supported

Apache Spark
Google Maps
NetSuite
QuickBooks Desktop Premier
QuickBooks Desktop Pro
QuickBooks Enterprise
QuickBooks Online
QuickBooks Online Advanced
Sage 300
Sage 50
Sage Accounting
Sage Intacct
Xero

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

ReSpark

Date Founded

2026

Company Location

United States

Company Website

www.respark.com

Company Facts

Organization Name

Deequ

Company Website

github.com/awslabs/deequ

Categories and Features

Recycling

Billing & Invoicing
Brokerage Management
Buy / Sell Ticketing
Container Management
Customer Database
Dispatch Management
Electronics Recycling
Fingerprint Scanning
ID Scanning
Integrated Cameras
Inventory Tracking
Logistics
Market Price Tracking
Plant Management
Plastics Recycling
Pulp & Paper Recycling
Receiving / Production Management
Scrap Recycling

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