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About

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.

About

ReSpark is the definitive software platform for metal recyclers, built to connect every part of the yard in one system. From scale ticketing and inventory to pricing, dispatch, exports, finance, reporting, and AI-powered workflows, ReSpark helps scrap yards run faster, cleaner, and with better visibility across the business. Whether you’re managing one facility or a multi-yard operation, ReSpark gives your team the tools to buy, process, sell, track, and reconcile material with less manual work and more confidence. Purpose-built for scrap, ReSpark brings together the best of ReMatter and GreenSpark to support 800+ scrap companies across 1,000+ facilities with a connected platform designed for how recyclers actually operate.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Application development solution for DevOps teams

Audience

Metal recyclers, scrap yards, auto recyclers, processors, brokers, exporters, demolition recyclers, and multi-facility recycling operations looking to streamline operations, improve visibility, and grow their business.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

PySpark
spark.apache.org/docs/latest/api/python/

Company Information

ReSpark
Founded: 2026
United States
www.respark.com

Alternatives

Alternatives

GreenSpark

GreenSpark

GreenSpark Software
Scrap Dragon

Scrap Dragon

Scrap Dragon Software
Apache Spark

Apache Spark

Apache Software Foundation
Spark Streaming

Spark Streaming

Apache Software Foundation
Nexus

Nexus

Nexus Metal Recycling Software

Categories

Categories

Recycling Features

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

Integrations

Amazon SageMaker Data Wrangler
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Google Maps
NetSuite
QuickBooks Desktop Premier
QuickBooks Desktop Pro
QuickBooks Enterprise
QuickBooks Online
QuickBooks Online Advanced
Sage 300
Sage 50
Sage Accounting
Sage Intacct
Tecton
Union Pandera
Xero

Integrations

Amazon SageMaker Data Wrangler
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Google Maps
NetSuite
QuickBooks Desktop Premier
QuickBooks Desktop Pro
QuickBooks Enterprise
QuickBooks Online
QuickBooks Online Advanced
Sage 300
Sage 50
Sage Accounting
Sage Intacct
Tecton
Union Pandera
Xero
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Claim PySpark and update features and information
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