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Neptune

14
36
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2
XGBoost

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XGBoost vs Neptune: What are the differences?

What is XGBoost? Scalable and Flexible Gradient Boosting. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow.

What is Neptune? The most lightweight experiment tracking tool for machine learning. It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.

XGBoost belongs to "Python Build Tools" category of the tech stack, while Neptune can be primarily classified under "Machine Learning Tools".

Some of the features offered by XGBoost are:

  • Flexible
  • Portable
  • Multiple Languages

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

  • Experiment tracking
  • Experiment versioning
  • Experiment comparison
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Pros of Neptune
Pros of XGBoost
  • 1
    Aws managed services
  • 1
    Supports both gremlin and openCypher query languages
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    Cons of Neptune
    Cons of XGBoost
    • 1
      Doesn't have much support for openCypher clients
    • 1
      Doesn't have proper clients for different lanuages
    • 1
      Doesn't have much community support
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      - No public GitHub repository available -

      What is Neptune?

      It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.

      What is XGBoost?

      Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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

      What companies use Neptune?
      What companies use XGBoost?
      See which teams inside your own company are using Neptune or XGBoost.
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      What tools integrate with Neptune?
      What tools integrate with XGBoost?

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      What are some alternatives to Neptune and XGBoost?
      Neo4j
      Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
      Dgraph
      Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
      Saturn
      It is a web development framework written in F# which implements the server-side MVC pattern. Many of its components and concepts will seem familiar to anyone with experience in other web frameworks like Ruby on Rails or Python’s Django.
      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.
      PyTorch
      PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
      See all alternatives