awesome-repositories.com
ब्लॉग
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंओपन-सोर्स विकल्पसेल्फ-होस्टेड सॉफ्टवेयरब्लॉगसाइटमैप
प्रोजेक्टहमारे बारे मेंहम रैंकिंग कैसे करते हैंप्रेसMCP सर्वर
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

40 रिपॉजिटरी

Awesome GitHub RepositoriesData Format Translators

Utilities for converting structured data between different serialization formats like CSV, JSON, and YAML.

Distinct from Financial Data Format Translation: Closest candidates focus on errors, subscriptions, or financial data, whereas this is a general-purpose tabular format translator.

Explore 40 awesome GitHub repositories matching data & databases · Data Format Translators. Refine with filters or upvote what's useful.

Awesome Data Format Translators GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • panniantong/agent-reachPanniantong का अवतार

    Panniantong/Agent-Reach

    31,610GitHub पर देखें↗

    Agent-Reach is an AI agent web gateway and search tool that provides language models with the ability to search and read content from the open web, social media, and community forums without using official APIs. It functions as a routing layer that connects large language models to various internet backends while managing content parsing and connection health. The system enables API-free information retrieval by using open-source backends to extract text and metadata from platforms such as Twitter, Reddit, and YouTube. It converts unstructured website content, RSS feeds, and video transcripts

    Converts diverse platform data formats into a standardized schema for consistent consumption by language models.

    Pythonagent-infrastructureai-agentai-search
    GitHub पर देखें↗31,610
  • tsenart/vegetatsenart का अवतार

    tsenart/vegeta

    25,070GitHub पर देखें↗

    Vegeta is an HTTP load testing tool and library designed to measure the performance and stability of web services. It functions as a command-line utility, a programmable package for integration into other applications, and a distributed load generator capable of splitting request rates across multiple machines. The tool is distinguished by its constant-rate request scheduler, which dispatches requests at a fixed frequency regardless of target response times. It employs lazy target streaming to maintain low memory usage during large tests and uses a binary-encoded storage format to minimize di

    Translates result files between binary, CSV, and JSON formats for compatibility with analysis tools.

    Gobenchmarkinggohttp
    GitHub पर देखें↗25,070
  • wkentaro/labelmewkentaro का अवतार

    wkentaro/labelme

    15,984GitHub पर देखें↗

    Labelme कंप्यूटर विज़न डेटासेट बनाने के लिए उपयोग किया जाने वाला एक Python-आधारित इमेज एनोटेशन टूल है। यह सिमेंटिक सेगमेंटेशन के लिए एक विज़ुअल एडिटर के रूप में कार्य करता है, जो उपयोगकर्ताओं को बहुभुज, आयत, बिंदु और वृत्तों का उपयोग करके ऑब्जेक्ट सीमाओं को परिभाषित करने की अनुमति देता है। एप्लिकेशन एक मल्टीस्पेक्ट्रल इमेज एनोटेटर के रूप में भी कार्य करता है, जो उपग्रह और वैज्ञानिक इमेजरी में उपयोग की जाने वाली उच्च-बिट गहराई वाली TIFF फ़ाइलों का समर्थन करता है। यह टूल मास्क और बहुभुज के निर्माण को स्वचालित करने के लिए AI-सहायता प्राप्त लेबलिंग क्षमताओं को शामिल करता है। ये विशेषताएं टेक्स्ट प्रॉम्प्ट या इंटरैक्टिव पॉइंट चयन द्वारा संचालित आकार निर्माण की अनुमति देती हैं, जो उपयोगकर्ता द्वारा रखे गए सकारात्मक और नकारात्मक बिंदुओं के आधार पर सीमाओं का प्रस्ताव करती हैं। सॉफ्टवेयर डेटा प्रबंधन और एनोटेशन कार्यों की एक विस्तृत श्रृंखला को कवर करता है, जिसमें घने पिक्सेल मास्क, रोटेटेड बाउंडिंग बॉक्स और वीडियो फ्रेम अनुक्रमण का निर्माण शामिल है। इसमें आंतरिक JSON स्थिति दृढ़ता को COCO और Pascal VOC जैसे मानक डेटासेट प्रारूपों में अनुवाद करने के लिए एक पाइपलाइन शामिल है। अतिरिक्त क्षमताओं में इमेज-लेवल वर्गीकरण फ्लैग, ज्यामिति परिशोधन उपकरण और बैच इमेज आयात शामिल हैं।

    Converts internal JSON annotation representations into standard computer vision dataset formats like COCO and Pascal VOC.

    Python
    GitHub पर देखें↗15,984
  • jimp-dev/jimpjimp-dev का अवतार

    jimp-dev/jimp

    14,621GitHub पर देखें↗

    Jimp is a zero-dependency JavaScript image processing library and programmatic editor designed for manipulating, resizing, and filtering images in Node.js. It functions as a multi-format image encoder and extensible pipeline that operates entirely in JavaScript to ensure portable deployment across different environments without requiring native system dependencies. The engine features a modular architecture that allows for custom image processor builds and the registration of custom processing plugins. This extensibility enables the addition of specific visual effects and custom file-type enc

    Includes dedicated translation modules to encode and decode raw pixel data across multiple image formats.

    TypeScript
    GitHub पर देखें↗14,621
  • bjorn/tiledbjorn का अवतार

    bjorn/tiled

    12,650GitHub पर देखें↗

    Tiled is a visual editor for creating two-dimensional game environments, functioning as a tile map editor and game level design tool. It allows for the construction of game worlds by arranging reusable tile sets and assets into maps. The system includes a tile set manager to organize and modify collections of tiles that can be shared across multiple project maps. It supports the creation of complex environments through layered map composition and the placement of objects at precise coordinates. The editor provides capabilities for grid alignment, coordinate-based layouts, and the attachment

    Converts internal map data into structured formats like JSON or XML for integration with external game engines.

    C++
    GitHub पर देखें↗12,650
  • coil-kt/coilcoil-kt का अवतार

    coil-kt/coil

    11,819GitHub पर देखें↗

    Coil is an image loading and caching pipeline designed for Android and Compose Multiplatform applications. It functions as a comprehensive loader, caching engine, and rendering utility that asynchronously fetches and displays images from network URLs, local storage, and multiplatform resource systems. The library distinguishes itself through a flexible fetcher-decoder pipeline and an interface-driven component registry, allowing for the integration of custom networking clients and decoders. It provides specialized support for rendering scalable vector graphics, animated formats such as GIF an

    Transforms image data between bitmaps, drawables, and painters to ensure compatibility with different rendering engines.

    Kotlinandroidandroidxcompose
    GitHub पर देखें↗11,819
  • wader/fqwader का अवतार

    wader/fq

    10,528GitHub पर देखें↗

    fq is a command-line binary data processor used for decoding, transforming, and analyzing raw byte streams and bit-level data into structured formats. It functions as a functional binary query engine that allows for filtering and mapping binary structures, as well as a converter that translates complex binary blobs and proprietary file formats into standard JSON, YAML, or XML. The tool distinguishes itself as a low-level bit manipulator capable of performing bit-level slicing, bitwise operations, and cryptographic hashing on raw files. It also serves as a network protocol analyzer with the ab

    Translates structured data between binary, text-based serialization formats, and various number bases.

    Go
    GitHub पर देखें↗10,528
  • restkit/restkitRestKit का अवतार

    RestKit/RestKit

    10,104GitHub पर देखें↗

    RestKit is an iOS REST API integration framework used to connect Apple platform applications to web services. It centers on RESTful resource modeling, transforming remote API data structures into typed local objects and database entities. The framework provides capabilities for remote data persistence by caching web service resources in a local database to enable offline access. It also handles network data serialization, using pluggable parsers to convert JSON or XML responses into application data models. Additional functionality includes multipart file uploading for sending binary data an

    Convert incoming data streams from formats like JSON or XML into usable objects using a pluggable interface.

    Objective-C
    GitHub पर देखें↗10,104
  • mamedev/mamemamedev का अवतार

    mamedev/mame

    9,929GitHub पर देखें↗

    MAME is a vintage hardware emulation platform designed to recreate the circuitry of arcade games, computers, and consoles to run original software on modern devices. It functions as a retro gaming preservation framework for managing, verifying, and archiving ROM sets and disk images to ensure long-term software accessibility. The project features a system debugging tool for inspecting emulated memory, CPU registers, and execution flow via breakpoints and disassembly. It also includes a Lua-based automation layer that exposes core system state and hardware controls for custom behavior and anal

    Translates between various on-disk image file formats and internal magnetic state representations.

    C++
    GitHub पर देखें↗9,929
  • johnkerl/millerjohnkerl का अवतार

    johnkerl/miller

    9,911GitHub पर देखें↗

    Miller is a command-line data processor used for filtering, transforming, and aggregating name-indexed tabular data. It functions as a tool for querying and reshaping records across multiple file formats, serving as a converter between CSV, JSON, and YAML. The tool distinguishes itself by using a name-indexed data model, allowing users to manipulate fields by name rather than numeric position. It utilizes single-pass streaming algorithms to compute statistics and summaries on large datasets that exceed available system memory. Its capabilities cover data transformation and analysis, includin

    Provides a common internal representation to convert seamlessly between CSV, JSON, and YAML formats.

    Gocommand-linecommand-line-toolscsv
    GitHub पर देखें↗9,911
  • fasterxml/jacksonFasterXML का अवतार

    FasterXML/jackson

    9,740GitHub पर देखें↗

    Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into native language objects. It functions as a JSON data binding library and a streaming parser that reads and writes data as discrete tokens to process large datasets with minimal memory. The project distinguishes itself through a bytecode serialization accelerator that replaces standard reflection with generated bytecode to increase data binding speed. It employs a module-based extensibility model to support a wide range of formats beyond JSON, including XML, YAML, CSV, TOML, and bin

    Provides pluggable interfaces to convert incoming data streams from multiple formats like XML and YAML into typed objects.

    hacktoberfestjacksonjava-json
    GitHub पर देखें↗9,740
  • delta-io/deltadelta-io का अवतार

    delta-io/delta

    8,596GitHub पर देखें↗

    Delta is a lakehouse table format that brings ACID transactions and data warehouse consistency to large scale data lakes on cloud object storage. It serves as an ACID transaction manager, coordinating atomic commits and serializable isolation for concurrent reads and writes across distributed compute engines. The project provides a multi-engine interoperability layer that uses format translation to allow diverse SQL engines and processing frameworks to read and write the same tables. It functions as a data versioning system, utilizing a transaction log to enable time travel, historical snapsh

    Generates compatible metadata for external open table formats to allow cross-engine interoperability without data duplication.

    Scalaacidanalyticsbig-data
    GitHub पर देखें↗8,596
  • anchore/syftanchore का अवतार

    anchore/syft

    8,399GitHub पर देखें↗

    Syft is a software bill of materials generator, container image scanner, and software dependency catalog. It analyzes container images and filesystems to produce comprehensive inventories of installed packages and dependencies in standard formats. Additionally, it serves as a software attestation tool and an SBOM format converter. The project distinguishes itself through the ability to create cryptographically signed attestations for software inventories to ensure provenance and integrity. It also provides the capability to transform software bills of materials between different industry sche

    Transforms internal software inventory data between different industry-standard SBOM serialization formats.

    Gocontainerscyclonedxdocker
    GitHub पर देखें↗8,399
  • carson-katri/dream-texturescarson-katri का अवतार

    carson-katri/dream-textures

    8,168GitHub पर देखें↗

    Dream Textures is a Stable Diffusion integration for Blender that provides tools for text-to-image generation, depth projection, and node-based processing within a 3D environment. It functions as an AI texture generator capable of producing image textures and concept art from text prompts and scene renders. The system features a depth-to-image projection tool that maps generated imagery onto 3D models using depth data for spatial alignment. It also includes a node-based AI image processor for creating procedural visual effects and a dedicated toolset for AI-assisted inpainting and outpainting

    Converts raw pixel data between grayscale, RGB, and RGBA formats for software compatibility.

    Pythonaiblenderblender-addon
    GitHub पर देखें↗8,168
  • cvhub520/x-anylabelingCVHub520 का अवतार

    CVHub520/X-AnyLabeling

    8,193GitHub पर देखें↗

    X-AnyLabeling is an AI-assisted annotation platform and computer vision labeling tool. It provides an interface for annotating images and videos using polygons and rectangles to create training sets for machine learning models. The project distinguishes itself through the integration of external AI models via a plugin-based inference backend, allowing for automated generation of candidate labels and the execution of specialized tasks like pose estimation and object detection. It also functions as an optical character recognition tool for extracting text and layout information from document im

    Maps annotation data between various industry standards to ensure compatibility across different machine learning tools.

    Pythonartificial-intelligenceclipcomputer-vision
    GitHub पर देखें↗8,193
  • harisekhon/devops-bash-toolsHariSekhon का अवतार

    HariSekhon/DevOps-Bash-tools

    8,062GitHub पर देखें↗

    DevOps-Bash-tools is a collection of shell scripts and aliases designed to automate cloud infrastructure, container orchestration, and CI/CD pipelines. It provides a comprehensive toolset for managing operational workflows through the command line. The project specializes in automating tasks across multiple platforms, including managing namespaces and secrets in Kubernetes, auditing resources in AWS and GCP, and triggering builds or managing environment variables in GitHub Actions, GitLab CI, and CircleCI. It also includes a toolkit for interacting with container registries to query manifests

    Convert between JSON and YAML and validate data files.

    Shellapiawsbash
    GitHub पर देखें↗8,062
  • phoboslab/qoiphoboslab का अवतार

    phoboslab/qoi

    7,492GitHub पर देखें↗

    QOI is a lossless image codec and encoding standard designed for high-speed compression and decompression of raw pixel data. It provides a toolkit for translating raw image buffers into a compact format and back into pixel representations without any loss of quality. The implementation focuses on fast image encoding and decoding, enabling the rapid conversion of compressed image data back into raw pixels. It also supports image format conversion to ensure compatibility across different software systems and hardware.

    Translates image data between different formats to ensure cross-system and hardware compatibility.

    C
    GitHub पर देखें↗7,492
  • open-mmlab/mmposeopen-mmlab का अवतार

    open-mmlab/mmpose

    7,374GitHub पर देखें↗

    MMPose is a PyTorch-based pose estimation toolbox and deep learning training pipeline designed for detecting 2D and 3D keypoints on humans, animals, and faces. It serves as a computer vision model zoo and a framework for both 2D pose estimation and 3D pose lifting. The project is distinguished by its modular architecture and extensibility, employing a registry-based system and hierarchical configurations to allow for custom algorithm integration and model pipeline customization. It supports diverse estimation paradigms, including top-down, bottom-up, and two-stage pose lifting workflows. The

    Includes utilities to translate raw dataset annotations into standardized formats like COCO.

    Pythonanimal-pose-estimationbenchmarkcpm
    GitHub पर देखें↗7,374
  • xiangyuecn/areacity-jsspider-statsgovxiangyuecn का अवतार

    xiangyuecn/AreaCity-JsSpider-StatsGov

    6,672GitHub पर देखें↗

    This project is an administrative GIS toolset that provides a comprehensive dataset of China's administrative divisions, including provinces, cities, districts, and townships. It functions as a coordinate system transformer and a boundary converter for transforming geographic data into standard formats. The toolset distinguishes itself through the ability to convert administrative boundary data between CSV, GeoJSON, Shapefiles, and SQL. It includes specialized utilities for coordinate system transformation between GCJ-02, BD-09, WGS-84, and CGCS2000 standards to ensure accuracy across differe

    Translates administrative data between specialized spatial formats like GeoJSON and SHP and tabular structures like CSV.

    JavaScript
    GitHub पर देखें↗6,672
  • superradcompany/microsandboxsuperradcompany का अवतार

    superradcompany/microsandbox

    6,570GitHub पर देखें↗

    Microsandbox is a runtime for creating and managing lightweight, hardware-isolated virtual machines — called sandboxes — that boot directly from standard OCI container images. Each sandbox runs as its own host process with a separate kernel, filesystem, and network stack, providing process-per-sandbox isolation. The project includes a command-line tool and multi-language SDKs (Rust, TypeScript, Python, Go) for programmatic lifecycle control, and it communicates with sandbox agents over Unix sockets using a CBOR-encoded protocol. What distinguishes Microsandbox is its combination of host-manag

    Automatically detects disk image format from file extension or accepts explicit type hints for booting.

    Rust
    GitHub पर देखें↗6,570
पिछला12अगला
  1. Home
  2. Data & Databases
  3. Data Format Translators

सब-टैग एक्सप्लोर करें

  • Annotation Format Translators1 सब-टैगUtilities that convert labeling data between different industry-standard annotation schemas. **Distinct from Data Format Translators:** Focuses on training labels (like COCO or YOLO) rather than general data serialization like JSON or CSV.
  • Byte Representation ConvertersTranslates byte data between ASCII, hexadecimal, and binary representations. **Distinct from Data Format Translators:** Distinct from Data Format Translators: focuses on low-level byte representation conversion, not structured data formats.
  • Disk Image Format Translation2 सब-टैग्सConversion between different on-disk image formats and internal representations. **Distinct from Data Format Translators:** Distinct from general data format translators: specifically handles magnetic disk image formats and internal representations.
  • Image Format Translators1 सब-टैगUtilities specifically for converting raw pixel data between various image file formats. **Distinct from Data Format Translators:** Distinct from general data format translators by focusing specifically on image encoding and decoding of pixel buffers.
  • Pluggable Format DeserializersInterfaces that convert incoming data streams from multiple formats like JSON or XML into typed objects. **Distinct from Data Format Translators:** Focuses on the deserialization of streams into objects via a pluggable interface, whereas candidates focus on simple format-to-format translation.
  • Spatial Format TranslatorsUtilities that convert geographic and spatial data between specialized map formats and tabular structures. **Distinct from Data Format Translators:** Specializes in geospatial/map formats, whereas Data Format Translators covers general serialization like CSV and JSON.
  • Table Format TranslatorsUtilities that translate metadata between different lakehouse table formats to enable cross-engine interoperability. **Distinct from Data Format Translators:** Distinct from Data Format Translators: specifically targets table-level metadata (like Iceberg or Hudi) rather than general serialization formats like CSV or JSON.
  • Web Format TranslatorsUtilities for converting JSON data to and from web-specific formats such as HTTP headers and browser cookies. **Distinct from Data Format Translators:** Distinct from general Data Format Translators: specifically targets web-protocol formats like cookies and headers rather than standard files like CSV or YAML.