MLlib vs. Spark Inspector Comparison


MLlib Apache Software Foundation	Spark Inspector	+	+
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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 With a three-dimensional view of your app's interface and the ability to change view properties at runtime, Spark can help you craft the best apps on earth. Wiring your app together with notifications? Spark's notification monitor shows you each NSNotification as it's sent, complete with a stack trace, a list of recipients and invoked methods, and more. Understand app structure at a glance and debug smarter. Connect your app to the Spark Inspector, and you'll see your app's interface front and center. As you interact with your app, the inspector updates in real-time! We monitor every change to your app's view hierarchy so you can always see what's going on. The view of your app you see in Spark isn't just beautiful, it's completely editable. You can modify almost every property of your views, from their class-level attributes to their CALayer transforms. When you make a modification, Spark invokes a method call within your app to directly modify that property.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Not Supported Chromebook Not Supported
Audience Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework	Audience Developers seeking a runtime debugger solution to monitor and manage their applications
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing $49.99 one-time payment Free Version Not Supported Free Trial Supported
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 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 Supported Webinars Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Apache Software Foundation Founded: 1995 United States spark.apache.org/mllib/	Company Information Spark Inspector sparkinspector.com
Alternatives Apache Spark Apache Software Foundation	Alternatives PySpark
Apache PredictionIO Apache	GitHub Spark
Apache Mahout Apache Software Foundation	Walmart Spark Walmart
Amazon EMR Amazon	Spark Streaming Apache Software Foundation
PySpark View All	GuideSpark View All
Categories Machine Learning Supported	Categories Debugging Supported

Integrations Amazon EC2 Supported Apache Cassandra Supported Apache HBase Supported Apache Hive Supported Apache Mesos Supported Apache Spark Supported Hadoop Supported Java Supported Kubernetes Supported MapReduce Supported Python Supported R Supported Scala Supported Xcode Not Supported Show More Integrations View All 13 Integrations	Integrations Amazon EC2 Not Supported Apache Cassandra Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Mesos Not Supported Apache Spark Not Supported Hadoop Not Supported Java Not Supported Kubernetes Not Supported MapReduce Not Supported Python Not Supported R Not Supported Scala Not Supported Xcode Supported Show More Integrations View All 1 Integration
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