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awesome-serialization

Data formats useful for API, Big Data, ML, Graph & co
https://github.com/maximveksler/awesome-serialization

Last synced: 5 days ago
JSON representation

  • API

    • CSV - Comma Separated Values. Textual.
    • XML - Extensible Markup Language. Genuinely Horrible. Textual.
    • Plist - Property List representation. Apple. Textual.
    • Protocol Buffers - Google's data interchange format. Binary.
    • TOML - Tom's Obvious, Minimal Language. Textual.

  • Scientific

    • HDF5® - n-dimensional datasets, complex objects, with schema. Efficient I/O. Binary.
    • npy - Numpy arrays, cell sparse metadata. Binary.

  • Machine Learning

    • SavedModel - TensorFlow package, weights, graph, executable code. Binary.
    • GraphDef - TensorFlow graphs. Binary. Deprecated.
    • safetensors - Simple, safe way to store and distribute tensors

  • Graph

    • Turtle - Terse RDF Triple Language. Textual.

  • Workflow

  • Language specific

  • Academic

    • Java

      • Type theory - studies types, which informally are attributes that objects can possess.
      • Category theory - General theory of functions. Axiomatic foundation for mathematics, as an alternative to set theory.

  • Big Data

    • Ion - Row storage with skip scan parsing. Structed, schema embedded. Amazon. Textual/Binary.
Programming Languages
Python 3 Swift 1 Java 1 C++ 1
Categories
Language specific 6 API 5 Machine Learning 3 Academic 2 Workflow 2 Scientific 2 License 1 Big Data 1 Graph 1
Sub Categories
Java 4 Python 3 Swift 1 Dart 1
Keywords
serialization 2 python 2 msgpack 2 marshalling 1 protobuf 1 protobuf-runtime 1 protoc 1 protocol-buffers 1 protocol-compiler 1 rpc 1 json 1 pickle 1 python-2 1 python-3 1 ujson 1 yaml 1 messagepack 1 swift 1