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Amazon Machine Learning vs Leaflet: What are the differences?

Amazon Machine Learning: Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology. This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure; Leaflet: JavaScript library for mobile-friendly interactive maps. Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

Amazon Machine Learning and Leaflet are primarily classified as "Machine Learning as a Service" and "Mapping APIs" tools respectively.

Some of the features offered by Amazon Machine Learning are:

  • Easily Create Machine Learning Models
  • From Models to Predictions in Seconds
  • Scalable, High Performance Prediction Generation Service

On the other hand, Leaflet provides the following key features:

  • Tile layers
  • Drag panning with inertia
  • Scroll wheel zoom

Leaflet is an open source tool with 25.2K GitHub stars and 4.11K GitHub forks. Here's a link to Leaflet's open source repository on GitHub.

Foursquare, NationBuilder, and Arabiaweather Inc. are some of the popular companies that use Leaflet, whereas Amazon Machine Learning is used by Apli, Cymatic Security, and FetchyFox. Leaflet has a broader approval, being mentioned in 75 company stacks & 37 developers stacks; compared to Amazon Machine Learning, which is listed in 9 company stacks and 10 developer stacks.

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Pros of Amazon Machine Learning
Pros of Leaflet
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    • 29
      Light weight
    • 21
      Free
    • 11
      Evolutive via plugins
    • 8
      Strong community
    • 7
      OpenStreetMap
    • 4
      Easy API
    • 4
      Choice of map providers
    • 2
      Alternative to Google Maps

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    - No public GitHub repository available -

    What is Amazon Machine Learning?

    This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.

    What is Leaflet?

    Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon Machine Learning?
    What companies use Leaflet?
    See which teams inside your own company are using Amazon Machine Learning or Leaflet.
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    What tools integrate with Amazon Machine Learning?
    What tools integrate with Leaflet?
      No integrations found

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      What are some alternatives to Amazon Machine Learning and Leaflet?
      TensorFlow
      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      Amazon SageMaker
      A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
      RapidMiner
      It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
      Azure Machine Learning
      Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
      See all alternatives