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Awesome GitHub RepositoriesJSON Serializers

Utilities that specifically transform tracking data into JSON text formats for portability.

Distinct from Data Export Utilities: Focuses specifically on JSON serialization rather than general data export utilities.

Explore 26 awesome GitHub repositories matching data & databases · JSON Serializers. Refine with filters or upvote what's useful.

Awesome JSON Serializers GitHub Repositories

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  • rasbt/python-machine-learning-bookrasbt 的头像

    rasbt/python-machine-learning-book

    12,614在 GitHub 上查看↗

    This project is an educational resource providing practical code examples and implementations of machine learning algorithms using the Python language. It serves as a guide for constructing predictive pipelines, clustering models, and dimensionality reduction within the Scikit-Learn ecosystem. The repository includes comprehensive demonstrations for supervised and unsupervised learning, as well as detailed examples for implementing neural networks and deep architectures. It also provides practical guidance on exporting model parameters to JSON and wrapping trained models in web APIs for produ

    Includes examples for exporting trained model parameters to JSON format for persistence and transport.

    Jupyter Notebook
    在 GitHub 上查看↗12,614
  • piskelapp/piskelpiskelapp 的头像

    piskelapp/piskel

    12,588在 GitHub 上查看↗

    Piskel is a web-based graphics tool and pixel art editor designed for creating static sprites and frame-by-frame animations. It functions as an animated sprite creator that produces single frames and sprite sheets with adjustable scaling and layout. The project provides a grid-based interface for producing digital art and game assets. It supports both the creation of animated sequences for game characters and the design of static images tailored for game engines. The tool includes capabilities for layer-based composition and frame-based animation sequencing. It also offers a standalone deskt

    Encodes pixel art and animation metadata into JSON format for project serialization.

    JavaScript
    在 GitHub 上查看↗12,588
  • isoron/uhabitsiSoron 的头像

    iSoron/uhabits

    9,645在 GitHub 上查看↗

    uHabits is a habit tracking application and behavioral progress tracker designed to monitor daily routines and build long-term consistency. It utilizes mathematical decay formulas to calculate habit strength, rewarding consistent activity while limiting the impact of occasional misses. The system includes a customizable scheduling engine that defines repetition patterns for recurring goals, supporting both simple daily and complex weekly intervals. Users can interact with their data via a home screen widget dashboard, allowing them to monitor status and mark tasks complete without opening the

    Serializes habit tracking history into structured JSON formats for portable migration and external analysis.

    Kotlinandroidhabit-trackerhabits
    在 GitHub 上查看↗9,645
  • dylanaraps/pywaldylanaraps 的头像

    dylanaraps/pywal

    9,082在 GitHub 上查看↗

    Pywal is an image-based theme engine and dynamic color scheme generator that extracts dominant colors from images to create coordinated system-wide color palettes. It functions as a cross-application theme synchronizer and terminal color palette manager, updating interface colors and environment configurations in real-time. The system synchronizes generated palettes across third-party software, window managers, and supported hardware, including RGB backlight controllers for keyboards and laptops. It integrates wallpaper management by applying a source image as the system background while simu

    Serializes generated color data into JSON format for use by external scripts and stylesheets.

    Python
    在 GitHub 上查看↗9,082
  • catboost/catboostcatboost 的头像

    catboost/catboost

    8,808在 GitHub 上查看↗

    CatBoost is a gradient boosting machine learning library used to train decision tree ensembles for regression, classification, and ranking tasks. It functions as a high-performance framework that provides a categorical data processor for transforming non-numeric features, a distributed trainer for large-scale datasets, and GPU acceleration to speed up model construction. The library distinguishes itself through native handling of categorical data and text features, removing the need for manual encoding. It includes a specialized model interpretability tool that leverages SHAP values and featu

    Saves trained predictive models into JSON files for later retrieval and application.

    C++big-datacatboostcategorical-features
    在 GitHub 上查看↗8,808
  • esnet/iperfesnet 的头像

    esnet/iperf

    8,283在 GitHub 上查看↗

    iperf 是专为量化数据传输速率和网络稳定性而设计的 IP 网络测量软件。它作为一种网络性能基准测试工具,用于测试两台主机之间的容量和吞吐量,以识别瓶颈和性能限制。 该工具专门使用 TCP 和 UDP 协议测量 IP 网络上的最大带宽和丢包率。它还充当网络数据导出器,以 JSON 格式输出性能结果,以便进行程序化分析和集成。 该软件涵盖了一系列功能,包括网络吞吐量分析和流量测试。它允许通过标准化测试来测量总数据容量并评估网络硬件和配置。

    Converts binary measurement results into structured JSON text files for portability and programmatic parsing.

    Ciperf3
    在 GitHub 上查看↗8,283
  • harthur/brainharthur 的头像

    harthur/brain

    7,991在 GitHub 上查看↗

    Brain is a JavaScript library for building, training, and running feed-forward neural networks. It implements a multilayer perceptron model designed for pattern recognition and function approximation. The library includes a standalone inference engine that converts trained models into portable JavaScript functions. This allows predictions to be executed in browser or Node.js environments without requiring the original library dependencies. The system supports persistent model management through JSON serialization for saving and loading network weights. It also provides a streaming mechanism

    Provides the ability to serialize trained model weights and biases into JSON for persistent storage.

    JavaScript
    在 GitHub 上查看↗7,991
  • miloyip/json-tutorialmiloyip 的头像

    miloyip/json-tutorial

    7,939在 GitHub 上查看↗

    This is an educational tutorial that walks through implementing a complete JSON library from scratch in C. The project covers the full data lifecycle of JSON, including parsing text into structured in-memory representations, validating input against the specification, serializing data back into standard JSON output, and providing structured access to elements within parsed arrays and objects. The implementation is built around a hand-written recursive descent parser that processes JSON text by matching grammar rules to build a structured data tree. Parsed values are stored in a tagged union r

    Serializes internal data structures back into standard JSON text using a compact generator.

    C
    在 GitHub 上查看↗7,939
  • dataarts/dat.guidataarts 的头像

    dataarts/dat.gui

    7,723在 GitHub 上查看↗

    dat.gui is a JavaScript GUI controller library that provides a lightweight interface for manipulating variables in real-time through a visual control panel. It functions as a real-time variable debugger and graphical overlay for monitoring and adjusting object properties during application runtime. The library features a collapsible control panel that organizes complex sets of variable inputs into folders. It includes a state management system capable of exporting and importing the current configuration of active controllers as JSON objects. The tool supports object-property binding and dyna

    Converts the current configuration of all active controllers into a portable JSON object for saving and loading presets.

    JavaScript
    在 GitHub 上查看↗7,723
  • rednote-hilab/dots.ocrrednote-hilab 的头像

    rednote-hilab/dots.ocr

    7,695在 GitHub 上查看↗

    dots.ocr is a suite of software utilities for document layout analysis, multilingual optical character recognition, and scene text digitization. It functions as an engine for extracting digital text and structured layout data from images and PDFs across various human scripts. The project includes a specialized transformer for converting charts, diagrams, and chemical formulas from raster images into scalable vector graphics. It also provides a pipeline to transform extracted text and structural layout from documents and web screenshots into formatted Markdown files. The system covers capabil

    Converts recognized text and visual layout into structured JSON formats for downstream processing.

    Python
    在 GitHub 上查看↗7,695
  • cantino/mcflycantino 的头像

    cantino/mcfly

    7,606在 GitHub 上查看↗

    mcfly is a database-backed system for tracking, filtering, and exporting shell command execution history and metadata. It functions as a shell command history manager and a command-line tool for analyzing command frequency and success rates. The tool utilizes a neural network to find the most relevant past shell commands based on execution context. This search capability ranks historical commands by analyzing patterns and environmental context to surface relevant results. The system includes utilities for managing shell privacy by scrubbing sensitive records from history files and internal d

    Provides utilities to serialize database records into JSON for portability and analysis.

    Rusthistoryrustsearch
    在 GitHub 上查看↗7,606
  • google/jsonnetgoogle 的头像

    google/jsonnet

    7,522在 GitHub 上查看↗

    Jsonnet is a structured configuration generation language that extends JSON with variables, conditionals, and object-oriented features to create reusable templates. It is designed to eliminate duplication in configuration data by providing a data templating language that can produce structured output from concise, programmable templates. The language distinguishes itself through an object-oriented inheritance model that allows field override, mixin composition, and self-referencing for modular configuration reuse. It supports lazy evaluation with thunks to defer computation until values are f

    Serializes structured data into JSON documents for consumption by applications and tools.

    Jsonnetconfigconfigurationfunctional
    在 GitHub 上查看↗7,522
  • suwayomi/suwayomi-serverSuwayomi 的头像

    Suwayomi/Suwayomi-Server

    7,175在 GitHub 上查看↗

    Suwayomi-Server is a self-hosted manga server that serves content via OPDS feeds for use with compatible reader applications. It functions as a personal manga library server, allowing users to organize, browse, and read manga from any device with offline support and automatic chapter updates. The server distinguishes itself through its extension-based source abstraction, which loads and executes third-party extensions at runtime to fetch content from various providers. It implements a bidirectional sync protocol using timestamped progress markers to reconcile reading positions across multiple

    Exports library metadata and reading progress into a portable JSON schema for disaster recovery and migration.

    Javadesktophacktoberfestjavalin
    在 GitHub 上查看↗7,175
  • bee-san/pywhatbee-san 的头像

    bee-san/pyWhat

    7,150在 GitHub 上查看↗

    pyWhat is a Python-based data extraction tool designed to scan files and text for sensitive identifiers, credentials, and network artifacts using regular expressions. It functions as a pattern matching engine and PII scanner capable of identifying personal identifiers and sensitive data patterns across directories and binary files. The project specializes in the identification of unknown data formats through file signatures and the extraction of high-value identifiers, such as URLs, IP addresses, and phone numbers, from network capture files. It utilizes a rarity-based filtering system and sp

    Provides a mechanism for converting analysis findings into structured JSON formats for programmatic storage and processing.

    Pythoncybercybersecurityhacking
    在 GitHub 上查看↗7,150
  • cazala/synapticcazala 的头像

    cazala/synaptic

    6,920在 GitHub 上查看↗

    Synaptic is a JavaScript neural network library used for building, training, and executing neural networks in Node.js and the browser. It provides a framework for constructing architecture-free neural network topologies, a backpropagation training engine for weight optimization, and a toolkit for implementing recurrent neural network frameworks. The library enables the design of custom first or second order network architectures without predefined constraints. It supports a variety of specialized models, including Long Short-Term Memory networks, Hopfield networks, Liquid State Machines, and

    Serializes network weights and architecture configurations into JSON for portability and reuse.

    JavaScript
    在 GitHub 上查看↗6,920
  • jgraph/mxgraphjgraph 的头像

    jgraph/mxgraph

    6,917在 GitHub 上查看↗

    mxgraph is a client-side graph visualization tool and JavaScript diagramming library. It functions as an SVG-based drawing framework used to create and render interactive diagrams directly within a web browser. The library enables the development of custom diagramming tools, such as network maps and flowcharts, by providing the means to draw and manipulate visual data structures. It focuses on client-side data visualization, allowing for the representation of complex node and edge relationships without requiring server-side rendering.

    Provides utilities to serialize complex diagram structures into JSON format for saving and loading graph states.

    HTML
    在 GitHub 上查看↗6,917
  • interpretml/interpretinterpretml 的头像

    interpretml/interpret

    6,881在 GitHub 上查看↗

    Interpret is an interpretable machine learning library and glassbox model framework. It provides toolkits for training inherently transparent models and applying post-hoc explanation techniques to make machine learning predictions human-understandable. The framework distinguishes itself by integrating differential privacy into the training of interpretable models to prevent sensitive data from leaking through explanations. It also features a visualization tool for rendering interactive decision paths and model behavior. The library covers model explainability through feature importance calcu

    Converts trained model structures into JSON format for portable auditing and structural analysis.

    C++
    在 GitHub 上查看↗6,881
  • jsonmodel/jsonmodelJSONModel 的头像

    JSONModel/JSONModel

    6,813在 GitHub 上查看↗

    JSONModel is a data modeling framework and serialization library for Apple platforms, including iOS, macOS, watchOS, and tvOS. It transforms JSON strings and dictionaries into typed Swift objects to eliminate manual dictionary parsing. The framework provides a mapping system that utilizes custom key rules and dot-notation to resolve nested data hierarchies. It supports the conversion of complex JSON structures into organized model relationships and manages the transformation of JSON arrays into collections of typed model instances. The toolset includes data type transformation via custom tra

    Ships utilities to serialize model instances into JSON strings or dictionaries for storage and transmission.

    Objective-C
    在 GitHub 上查看↗6,813
  • openstyles/stylusopenstyles 的头像

    openstyles/stylus

    6,710在 GitHub 上查看↗

    Stylus is a browser extension for installing, managing, and editing user-created CSS themes that customize the appearance of websites. It provides a central interface for organizing, enabling, disabling, and removing installed styles, and includes a built-in CSS editor with syntax highlighting and linting support. The extension supports the UserCSS format, allowing users to install themes from .user.css files or URLs, and generates a basic UserCSS template with required metadata fields when creating new styles. Stylus can watch local .user.css files for changes and automatically apply edi

    Exports and imports style collections as structured JSON files for backup and migration.

    JavaScriptchrome-extensionfirefox-extensionopera-addon
    在 GitHub 上查看↗6,710
  • ionicabizau/git-statsIonicaBizau 的头像

    IonicaBizau/git-stats

    6,596在 GitHub 上查看↗

    git-stats is a git statistics analyzer and contribution calendar tool. It extracts commit data from local repositories to visualize contribution frequency and activity patterns through a visual grid of commit activity. The project functions as a local git data exporter and analyzer, converting version history into machine-readable JSON format for external reporting. It utilizes local-first data processing to interpret commit history directly from the system without requiring remote API access. The tool covers developer productivity analytics and git history reporting, providing command-line

    Transforms analyzed git metrics into JSON text formats for portable data exchange.

    HTMLcalendarcontributions-calendargitstats
    在 GitHub 上查看↗6,596
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探索子标签

  • GUI State SerializersUtilities that convert the current configuration of UI controllers into JSON for saving and loading presets. **Distinct from JSON Serializers:** Specifically serializes GUI controller states rather than general tracking data or ML models.
  • Mind Map SerializersUtilities that transform mind map hierarchical data into JSON text formats for portability. **Distinct from JSON Serializers:** Distinct from JSON Serializers: specifically handles hierarchical mind map data structures rather than generic tracking data.
  • Model State SerializersConverting trained machine learning model structures into JSON for portability and persistence. **Distinct from JSON Serializers:** Distinct from JSON Serializers: specifically handles the serialization of trained ML model states rather than generic application data