30 Components & Libraries
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In addition to cross-language serialization, Fury also features at: Different scenarios have different serialization requirements. Fury designed and implemented multiple binary protocols for those re…
MCAP is a modular container format and logging library for pub/sub messages with arbitrary message serialization. It is primarily intended for use in robotics applications, and works well under vario…
Define your JSON schema as Python dataclasses It's kinda like Pydantic but better. Now with JSON-schema generation! This library was designed with extensibility in mind, so it relies on interfaces (f…
--- Contents Using the built-in JSON marshalling support for dataclasses: Here is an example to demonstrate the usage of these helper functions: Note Example below: Note This also results in more hel…
Chili is an extensible library which provides a simple and efficient way to encode and decode complex Python objects to and from their dictionary representation. With support for nested data structur…
Simple, light-weight and no dependency config handling through python data classes with to/from JSON serialization/deserialization. What I need from a ML configuration library... Fixing a general con…
======================= Programmer & Developer Cook-Book | Covers Programming Languages, Databases, Linux Commands and more. Aggregate API Calls | API Mesh Interactive JavaScript Diagrams for the…
Simple dataclasses configuration management for Python with hocon/json/yaml/properties/env-vars/dict/cli support. Requires at least Python 3.8. is equivalent to
JSON (de)serialization, GraphQL and JSON schema generation using Python typing. This library fulfills the following goals: Once dependencies are installed, you can simply copy-paste examples and exec…
Python is a flexible language that can be used for much more than just script development. By knowing how the Python RESTful APIs work, you can build a powerful backend for web applications and mobil…
python version >= 2.7 A Query is basically a template which tells dictfier what to extract from an object. It is defined as a list or tuple of Object's fields to be extracted. When a flat student …
Version : 2.3
Or from conda via conda-forge: Alternatively, you can also compile the library from source. You'll need to make sure that you have a development environment with a Python distribution including heade…
Its features and drawbacks compared to other Python JSON libraries: orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x …
This library provides two fundamentally different approaches to converting your data to and from various formats. Each of them is useful in different situations: Codecs are represented by a set of de…
An extremely flexible and configurable data model conversion library. Adaptix is ready for production! The beta version only means there may be some backward incompatible changes, so you need to pin …
Install Use On python 3.7 it has no external dependencies outside of the Python standard library.
Let's start with a toy example: So you add something like But you may get into a situation in which there is no useful static type information, because of values: Imagine your application receives a …
💗 this lib? Leave a ★ and tell your colleagues! Example of a model to serialize: Example of using jsons to serialize: Example of using jsons to deserialize: Special thanks to the following contributo…
Some common use cases include: and decorate it with a directory pattern to synchronize instances: Then, work with instances of the class as normal: Changes to the object are automatically saved to th…
The [pyjson-tricks] package brings several pieces of functionality to python handling of json files: As well as compression and disallowing duplicate keys. Thanks for all the Github stars⭐! You can i…
Generate code for your language(s) Serialize data Transmit/store/save Buffer Use your serialized buffer however you want. Send it to someone, save it for later, etc... Read the data Use the generated…
Install with pip. You may also install cython first to build cython extension locally. ThriftPy make it super easy to write server/client code with thrift. Let's checkout this simple pingpong service…
>>> mapper = UserMapper(data=response.json()) >>> mapper.marshal() User(id='one', name='Bruce Wayne', 'title'='CEO/Super Hero') >>> user_two = User.query.get('two') >>…
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