MLlib

MLlib

Apache Software Foundation
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About

​Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. ​

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

Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework

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

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Reviews/Ratings

Overall 3.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 3.5 / 5
support 3.0 / 5

Pros & Cons from Real Users

Pros

  • ReSpark Software provides a solid, dependable framework for handling daily scale weights and tracking logistics under standard setups. The interface is straightforward for operators to input data quickly, which keeps the physical line moving smoothly. It does exactly what a business needs it to do at the primary point of data entry, ensuring that transactions are captured accurately when the hardware configuration is kept simple.
  • Their product is easy to use and implement. Everything we need is here. Their support staff is amazing and very helpful.

Cons

  • Customer service is poor with slow response times. The software does not work well when trying to manage multiple scales from a single workstation, causing major operational bottlenecks. The user interface is highly unintuitive, making it entirely too easy for scale operators to make mistakes or misclick during fast-paced operations. The workflow also requires frustratingly redundant mouse use and repetitive clicks to navigate simple tasks that should be automated or hotkey-friendly. Furthermore, implementation is heavily manual—we have had to install our own plugins and handle backend programming adjustments ourselves, which is unacceptable for a high-priced software solution. The technical workflow between the front-end software and backend image synchronization can also be tricky, requiring meticulous IT configuration to avoid real-time data lag.
  • Nada. Everything I have encountered to be an issue has been taken care of.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
Founded: 1995
United States
spark.apache.org/mllib/

Company Information

ReSpark
Founded: 2026
United States
www.respark.com

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

GreenSpark

GreenSpark

GreenSpark Software
Apache Mahout

Apache Mahout

Apache Software Foundation
Scrap Dragon

Scrap Dragon

Scrap Dragon Software
Amazon EMR

Amazon EMR

Amazon
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 EC2
Apache Cassandra
Apache Hive
Apache Mesos
Apache Spark
Google Maps
Hadoop
Java
Kubernetes
NetSuite
Python
QuickBooks Desktop Premier
QuickBooks Desktop Pro
QuickBooks Enterprise
QuickBooks Online
QuickBooks Online Advanced
R
Sage 300
Scala
Xero

Integrations

Amazon EC2
Apache Cassandra
Apache Hive
Apache Mesos
Apache Spark
Google Maps
Hadoop
Java
Kubernetes
NetSuite
Python
QuickBooks Desktop Premier
QuickBooks Desktop Pro
QuickBooks Enterprise
QuickBooks Online
QuickBooks Online Advanced
R
Sage 300
Scala
Xero
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