Apache Ivy

Apache Ivy

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
+
+

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About

Apache Ivy™ is a popular dependency manager focusing on flexibility and simplicity. Find out more about its unique enterprise features, what people say about it, and how it can improve your build system! Ivy is a tool for managing (recording, tracking, resolving, and reporting) project dependencies. Ivy is essentially process agnostic and is not tied to any methodology or structure. Instead, it provides the necessary flexibility and reconfigurability to be adapted to a broad range of dependency management and build processes. While available as a standalone tool, Ivy works particularly well with Apache Ant providing a number of powerful Ant tasks ranging from dependency resolution to dependency reporting and publication. Ivy has a lot of powerful features, the most popular and useful being its flexibility, integration with Ant, and strong transitive dependencies management engine. Ivy is open source and released under a very permissive Apache License.

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. ​

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

Organizations in need of a solution for managing, recording, tracking, resolving, and reporting project dependencies

Audience

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

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

Free
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 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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
United States
ant.apache.org/ivy/

Company Information

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

Alternatives

Aptitude

Aptitude

Debian

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
DNF

DNF

DOCS
Windows Package Manager (winget)

Windows Package Manager (winget)

Windows Package Manager
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Integrations

Amazon EC2
Apache Ant
Apache Cassandra
Apache HBase
Apache Hive
Apache Mesos
Apache Spark
Hadoop
JFrog
Java
Kubernetes
MapReduce
Perforce TeamHub
Python
R
Scala

Integrations

Amazon EC2
Apache Ant
Apache Cassandra
Apache HBase
Apache Hive
Apache Mesos
Apache Spark
Hadoop
JFrog
Java
Kubernetes
MapReduce
Perforce TeamHub
Python
R
Scala
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