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32 dépôts

Awesome GitHub RepositoriesData Export Utilities

Tools for extracting and serializing stored data into structured formats.

Distinguishing note: Focuses on data portability and compliance extraction rather than database backups.

Explore 32 awesome GitHub repositories matching data & databases · Data Export Utilities. Refine with filters or upvote what's useful.

Awesome Data Export Utilities GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • mem0ai/mem0Avatar de mem0ai

    mem0ai/mem0

    58,698Voir sur GitHub↗

    Mem0 is an agent-agnostic memory layer designed to provide intelligent agents with long-term persistence and cross-session state management. By acting as a centralized service, it allows diverse AI agents to recall user preferences, past interactions, and historical context, ensuring continuity across multiple workflows and independent agent systems. The platform distinguishes itself through a multi-signal retrieval engine that combines semantic vectors, keyword matching, and entity-linked metadata to surface the most relevant information. It employs an adaptive memory engine that automatical

    Extracts stored information into structured formats for compliance and synchronization.

    Pythonagentsaiai-agents
    Voir sur GitHub↗58,698
  • rasbt/python-machine-learning-bookAvatar de rasbt

    rasbt/python-machine-learning-book

    12,614Voir sur 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
    Voir sur GitHub↗12,614
  • piskelapp/piskelAvatar de piskelapp

    piskelapp/piskel

    12,588Voir sur 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
    Voir sur GitHub↗12,588
  • isoron/uhabitsAvatar de iSoron

    iSoron/uhabits

    9,645Voir sur 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

    Extracts habit history and tracking data into structured formats for external analysis in spreadsheets or databases.

    Kotlinandroidhabit-trackerhabits
    Voir sur GitHub↗9,645
  • dylanaraps/pywalAvatar de dylanaraps

    dylanaraps/pywal

    9,082Voir sur 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
    Voir sur GitHub↗9,082
  • catboost/catboostAvatar de catboost

    catboost/catboost

    8,808Voir sur 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
    Voir sur GitHub↗8,808
  • esnet/iperfAvatar de esnet

    esnet/iperf

    8,283Voir sur GitHub↗

    iperf est un logiciel de mesure de réseau IP conçu pour quantifier les débits de transfert de données et la stabilité du réseau. Il fonctionne comme un outil de benchmarking de performance réseau qui teste la capacité et le débit entre deux hôtes pour identifier les goulots d'étranglement et les limites de performance. L'outil mesure spécifiquement la bande passante maximale et la perte de paquets sur les réseaux IP en utilisant les protocoles TCP et UDP. Il sert également d'exportateur de données réseau, produisant les résultats de performance au format JSON pour une analyse programmatique et une intégration. Le logiciel couvre une gamme de capacités incluant l'analyse du débit réseau et les tests de trafic. Il permet la mesure de la capacité totale de données et l'évaluation du matériel et des configurations réseau via des tests standardisés.

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

    Ciperf3
    Voir sur GitHub↗8,283
  • harthur/brainAvatar de harthur

    harthur/brain

    7,991Voir sur 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
    Voir sur GitHub↗7,991
  • miloyip/json-tutorialAvatar de miloyip

    miloyip/json-tutorial

    7,939Voir sur 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
    Voir sur GitHub↗7,939
  • railsadminteam/rails_adminAvatar de railsadminteam

    railsadminteam/rails_admin

    7,957Voir sur GitHub↗

    Rails Admin is a web-based management dashboard and Active Record model manager for Ruby on Rails applications. It provides a graphical user interface for creating, reading, updating, and deleting database records, serving as a secure back office for database content management and administrative data auditing. The project distinguishes itself through a reflection-based schema mapping system that automatically generates CRUD interfaces from database metadata. It includes specialized tools for data versioning and change auditing to track administrative activity, as well as utilities for import

    Provides utilities to extract and serialize database records into structured formats like CSV, JSON, and XML.

    Ruby
    Voir sur GitHub↗7,957
  • dataarts/dat.guiAvatar de dataarts

    dataarts/dat.gui

    7,723Voir sur 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
    Voir sur GitHub↗7,723
  • rednote-hilab/dots.ocrAvatar de rednote-hilab

    rednote-hilab/dots.ocr

    7,695Voir sur 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
    Voir sur GitHub↗7,695
  • cantino/mcflyAvatar de cantino

    cantino/mcfly

    7,606Voir sur 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
    Voir sur GitHub↗7,606
  • google/jsonnetAvatar de google

    google/jsonnet

    7,522Voir sur 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
    Voir sur GitHub↗7,522
  • vrana/adminerAvatar de vrana

    vrana/adminer

    7,432Voir sur GitHub↗

    Adminer is a PHP-based database management tool and multi-engine database client. It provides a web-based graphical interface for administering various relational and document database engines. The application is distributed as a single file to simplify installation and deployment on web servers. It supports customization through external stylesheets for visual themes and a plugin architecture to extend core functionality and system behaviors. The tool covers database schema administration, including the creation of views and management of foreign keys. It includes a SQL query editor with au

    Provides capabilities to export database records into portable files using custom delimiters and query parameters.

    PHPdatabasemssqlmysql
    Voir sur GitHub↗7,432
  • suwayomi/suwayomi-serverAvatar de Suwayomi

    Suwayomi/Suwayomi-Server

    7,175Voir sur 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
    Voir sur GitHub↗7,175
  • bee-san/pywhatAvatar de bee-san

    bee-san/pyWhat

    7,150Voir sur 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
    Voir sur GitHub↗7,150
  • cazala/synapticAvatar de cazala

    cazala/synaptic

    6,920Voir sur 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
    Voir sur GitHub↗6,920
  • jgraph/mxgraphAvatar de jgraph

    jgraph/mxgraph

    6,917Voir sur 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
    Voir sur GitHub↗6,917
  • interpretml/interpretAvatar de interpretml

    interpretml/interpret

    6,881Voir sur 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++
    Voir sur GitHub↗6,881
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  • JSON Serializers3 sous-tagsUtilities 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.