Search Results for "json-py" - Page 7
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Showing 231 open source projects for "json-py"
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jsoncat
Lightweight HTTP framework built in Java
jsoncat is a lightweight HTTP framework built in Java (using Netty) that aims to replicate some of the feel of Spring Boot—but in a minimal, educational style focused on clarity rather than full enterprise complexity. The project is organized as a small library and tutorial-style codebase, where core HTTP handling, routing, and JSON processing are exposed in a compact way so learners can trace how HTTP requests are parsed and dispatched. Because it avoids heavy abstractions and auto-magical configuration, it’s suited to developers who want to understand what happens beneath frameworks rather than just use them. The code has detailed comments (recently translated or annotated for Chinese readers), making it a practical study project for learning network programming, middleware design, and handler chains. ... -
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Jodd
Jodd! Lightweight, Java, zero dependencies, use what you like
Jodd is a set of micro-frameworks and developer-friendly tools and utilities. Code-things-done. Great performances. Tiny dependencies. Use what you like. Welcome to the Jodd, a unique, alternative world of Java. You can find here some micro-frameworks and some handy tools. Nothing more, nothing less. The decision which component is promoted is based on the Maven Central Repo statistics. Version v5 contains remaining libraries and frameworks. They are in maintenance mode. -
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Intermock
Mocking library to create mock objects with fake data for TypeScript
Intermock is a TypeScript utility developed by Google that automatically generates mock objects and JSON data for TypeScript interfaces using the Faker library. It simplifies frontend and API testing by creating realistic, schema-compliant mock data directly from interface definitions, eliminating the need for manual mock creation. Intermock supports a wide range of TypeScript constructs including interfaces, unions, generics, mapped types, and tuples, ensuring comprehensive type coverage. ... -
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Json Node Tree Library
Represents JSON doc as a nodes tree for transforms like XPATH & XSLT.
Json Node Tree framework is provisioning of transformation operations for JSON documents similar XML XPATH and XSLT. The framework parses textual JSON document to nodes tree that represents JSON entity: object, array or value of primitive type. Generated tree allows to modify values of nodes and/or structure of the given JSON document. -
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Netty demos
Demos of Netty 4.x User Guide
...Additional samples explain ByteBuffer, ByteBuf usage modes, thread pools, the Reactor pattern, heartbeat handling, and custom codecs. Serialization demonstrations cover Java objects and JSON through Jackson. Security examples include SSL/TLS mutual authentication, while monitoring modules show a lightweight service and interface. The project uses Netty 4.1.52, Jackson 2.10.1, and JUnit 5.5.2. -
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China Area Data
China's provincial and municipal data
...It organizes provinces, municipalities, cities, districts, counties, and related regional identifiers into formats suitable for software applications. The package can be installed through npm and used directly in JavaScript projects. Multiple data layouts are provided, including object-based JSON, array-based JSON, and JavaScript representations. Versioned datasets preserve older administrative structures so applications can account for regional code changes over time. The latest included major dataset is based primarily on National Bureau of Statistics information from 2019 and also includes Taiwan, Hong Kong, and Macau entries. -
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Python Crawler Tutorial Starts From Zero
Python crawler tutorial, taking you from zero to one
Python Crawler Tutorial Starts From Zero is a Chinese-language learning repository that teaches web crawling from introductory concepts through practical examples. Early lessons explain HTTP requests, request analysis, the Python Requests library, and common categories of extracted data. Separate chapters cover JSON processing and regular expressions for transforming responses into structured information. Practical exercises demonstrate crawlers for Douban movies, Baidu Tieba, and Baidu Translate. Broader project materials also address topics such as JavaScript reverse engineering, Selenium automation, OCR, MongoDB, and the Scrapy framework. ... -
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Alfred-Workflow
Full-featured library for writing Alfred 3 & 4 workflows
Alfred-Workflow is a Python helper library for Alfred 2, 3 and 4 workflow authors, developed and hosted on GitHub. Alfred workflows typically take user input, fetch data from the Web or elsewhere, filter them and display results to the user. Alfred-Workflow takes care of a lot of the details for you, allowing you to concentrate your efforts on your workflow’s functionality. Alfred-Workflow supports macOS 10.7+ (Python 2.7). Easily launch background tasks (daemons) to keep your workflow... -
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API Correios
API correios.com.br in Python
...The library abstracts the raw SOAP or REST endpoints exposed by Correios, providing Pythonic methods to perform common tasks like tracking a package by its code or computing shipping cost/lead time between postal codes. It handles serialization and mapping of API responses into Python objects so developers don’t manually parse raw XML or JSON. With this tool, developers building Brazilian market e-commerce or logistics solutions can integrate postal services smoothly. Because it is open source, improvements can be contributed to support new endpoints, changes in the postal service API, or additional features like caching or async requests. -
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ArangoDB Interactive Tutorials
Repository for all ArangoDB interactive tutorial notebooks
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jpathpy
Select items from JSON by using JPath syntax
Package ``jpathpy`` is easy way for selecting items from objects, that can be iterate by keys or indices (such as dictionaries or lists). See full doc at <https://github.com/vowatchka/jpathpy>. -
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NetworkEye
A iOS network debug library, monitor HTTP requests
...It can be detected HTTP requests including web pages, NSURLConnection, NSURLSession, AFNetworking, 3rd libraries, 3rd SDK, and so on. very convenient and practical. It can be a map local json file. -
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json.lua
A lightweight JSON library for Lua
json.lua is a lightweight JSON library for Lua that provides straightforward encoding and decoding without requiring a large external package. It is designed to be dropped into an existing project as a single Lua file, then required directly from application code. The library exposes a simple API for turning Lua values into JSON strings and parsing JSON strings back into Lua values. -
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Android Layout Engine
A JSON based LayoutInflater for Android
Proteus is meant to be a drop-in replacement for Android’s LayoutInflater; but unlike the compiled XML layouts bundled in the APK, Proteus inflates layouts at runtime. With Proteus, you can control your Apps layout from the backend (no WebViews). Forget the boilerplate code to findViewById, cast it to a TextView, and then setText(). Proteus has runtime data bindings and formatters. Plugin in your own custom views and attributes and functions to flavour proteus to your requirements. -
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nlp_chinese_corpus
Large Scale Chinese Corpus for NLP
nlp_chinese_corpus is a large-scale Chinese corpus collection for natural language processing research and development. It was created to make high-volume Chinese text data easier to access for students, researchers, and practitioners. The repository gathers several major datasets, including Chinese Wikipedia entries, news articles, encyclopedia-style question answering data, community question answering data, and Chinese-English translation sentence pairs. Each dataset includes... -
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Himotoki
A type-safe JSON decoding library purely written in Swift
Himotoki is a type-safe JSON decoding library written purely in Swift. This library is highly inspired by the popular Swift JSON parsing libraries: Argo and ObjectMapper. -
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Pitaya
A Swift HTTP / HTTPS networking library
Pitaya is a Swift HTTP / HTTPS networking library for people. Inspired by Alamofire and JustHTTP. Carthage is a decentralized dependency manager that automates the process of adding frameworks to your Cocoa application. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This... -
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zeroclickinfo-spice
DuckDuckGo Instant Answers based on JavaScript (JSON) APIs
ZeroClickInfo-Spice was a component of DuckDuckGo's Instant Answer platform, designed to provide users with immediate, relevant information without the need to click through search results. It utilized JavaScript and JSON APIs to fetch and display dynamic content directly on the search results page. Although the repository was archived in October 2022, it served as a foundation for community-contributed instant answers. -
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Dumper.js
A better and pretty variable inspector for your Node.js applications
...When you pass an object (or array, or nested structure) through dumper.js, it outputs a representation that shows keys, nested depth, and structure clearly, making it easier to understand what’s inside compared to default JSON dumps or console.log clutter. This can be especially helpful when dealing with large objects, deeply nested responses, or when you need to inspect something quickly without building custom serializers. The utility is minimal and straightforward: you import it, pass your data, and get the result. Because it doesn’t rely on heavy dependencies, it can be easily included in small scripts or bigger projects alike. -
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Go Meta Linter
Runs a whole bunch of those linters and normalizes their output
...The tool helps developers catch issues such as unused code, unchecked errors, duplicated code, style problems, security concerns, and suspicious compiler-level behavior. It supports a broad collection of linters and lets users customize which checks run for each project. It can also be configured through a JSON file, which makes it easier to share linting rules across a team. Although the project is archived and users are directed toward golangci-lint, it remains a useful example of early Go lint aggregation. -
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ftdetector
File type detector library
...This file type detector supports a lot of formats (image, archive, text, documents, audio, video, fonts and others). It also includes Microsoft OLE compound file types. The detector's algorythm has special features to detect text file types like (HTML, XML, JSON, etc.) and text file UNICODE charsets by using their BOMs (Byte order marks). Its small simple interface can be used at the most popular platforms. -
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brain.js
GPU accelerated Neural networks in JavaScript for Browsers
...Brain.js provides multiple neural network implementations as different neural nets can be trained to do different things well. Easily export and import trained models using JSON format or as a function. Host pre-trained models on your website easily. -
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Ponder
C++ reflection library with Lua binding, and JSON and XML
Ponder is a C++ library that provides runtime reflection for types. It provides an abstraction for most of the high-level concepts of C++ like classes, enumerations, properties, functions, and objects. By wrapping all these concepts into abstract structures, Ponder provides an extra layer of flexibility to programs and allows them to expose and manipulate their data structures at runtime. Many applications can take advantage of Ponder, in order to automate tasks that would otherwise require... -
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JSON Iterator Java
jsoniter (json-iterator) is fast and flexible JSON parser
jsoniter (json-iterator) is fast and flexible JSON parser available in Java and Go. A good deal of the code is ported from dsljson, and JSON parser. Traditional JSON parsers are slow. Jsoniter Java version could be 3x times faster than jackson/gson/fastjson. If you are doing a lot of log processing or number crunching, but stuck with JSON, you definitely need to consider dsl-json or Jsoniter to save the encoding/decoding cost.
