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26 repository-uri

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

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • rasbt/python-machine-learning-bookAvatar rasbt

    rasbt/python-machine-learning-book

    12,614Vezi pe GitHub↗

    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
    Vezi pe GitHub↗12,614
  • piskelapp/piskelAvatar piskelapp

    piskelapp/piskel

    12,588Vezi pe GitHub↗

    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
    Vezi pe GitHub↗12,588
  • isoron/uhabitsAvatar iSoron

    iSoron/uhabits

    9,645Vezi pe GitHub↗

    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
    Vezi pe GitHub↗9,645
  • dylanaraps/pywalAvatar dylanaraps

    dylanaraps/pywal

    9,082Vezi pe GitHub↗

    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
    Vezi pe GitHub↗9,082
  • catboost/catboostAvatar catboost

    catboost/catboost

    8,808Vezi pe GitHub↗

    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
    Vezi pe GitHub↗8,808
  • esnet/iperfAvatar esnet

    esnet/iperf

    8,283Vezi pe GitHub↗

    iperf este un software de măsurare a rețelelor IP conceput pentru a cuantifica ratele de transfer de date și stabilitatea rețelei. Acesta funcționează ca un instrument de benchmarking al performanței rețelei care testează capacitatea și debitul între două gazde pentru a identifica blocajele și limitele de performanță. Instrumentul măsoară în mod specific lățimea de bandă maximă și pierderea de pachete pe rețele IP folosind protocoalele TCP și UDP. De asemenea, servește ca exportator de date de rețea, oferind rezultatele performanței în format JSON pentru analiză programatică și integrare. Software-ul acoperă o gamă de capabilități, inclusiv analiza debitului rețelei și testarea traficului. Acesta permite măsurarea capacității totale de date și evaluarea hardware-ului și a configurațiilor de rețea prin teste standardizate.

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

    Ciperf3
    Vezi pe GitHub↗8,283
  • harthur/brainAvatar harthur

    harthur/brain

    7,991Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,991
  • miloyip/json-tutorialAvatar miloyip

    miloyip/json-tutorial

    7,939Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,939
  • dataarts/dat.guiAvatar dataarts

    dataarts/dat.gui

    7,723Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,723
  • rednote-hilab/dots.ocrAvatar rednote-hilab

    rednote-hilab/dots.ocr

    7,695Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,695
  • cantino/mcflyAvatar cantino

    cantino/mcfly

    7,606Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,606
  • google/jsonnetAvatar google

    google/jsonnet

    7,522Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,522
  • suwayomi/suwayomi-serverAvatar Suwayomi

    Suwayomi/Suwayomi-Server

    7,175Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,175
  • bee-san/pywhatAvatar bee-san

    bee-san/pyWhat

    7,150Vezi pe GitHub↗

    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
    Vezi pe GitHub↗7,150
  • cazala/synapticAvatar cazala

    cazala/synaptic

    6,920Vezi pe GitHub↗

    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
    Vezi pe GitHub↗6,920
  • jgraph/mxgraphAvatar jgraph

    jgraph/mxgraph

    6,917Vezi pe GitHub↗

    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
    Vezi pe GitHub↗6,917
  • interpretml/interpretAvatar interpretml

    interpretml/interpret

    6,881Vezi pe GitHub↗

    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++
    Vezi pe GitHub↗6,881
  • jsonmodel/jsonmodelAvatar JSONModel

    JSONModel/JSONModel

    6,813Vezi pe GitHub↗

    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
    Vezi pe GitHub↗6,813
  • openstyles/stylusAvatar openstyles

    openstyles/stylus

    6,710Vezi pe GitHub↗

    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
    Vezi pe GitHub↗6,710
  • ionicabizau/git-statsAvatar IonicaBizau

    IonicaBizau/git-stats

    6,596Vezi pe GitHub↗

    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
    Vezi pe GitHub↗6,596
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  1. Home
  2. Data & Databases
  3. Data Export Utilities
  4. JSON Serializers

Explorează sub-etichetele

  • 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