{"id":21923720,"url":"https://github.com/skitls-dev/skitls.data.io","last_synced_at":"2026-01-15T22:10:16.047Z","repository":{"id":247998888,"uuid":"827428793","full_name":"SKitLs-dev/SKitLs.Data.IO","owner":"SKitLs-dev","description":"SKitLs.Data.IO provides a universal interface for efficient data input and output operations, offering seamless reading and writing capabilities between disk storage and application memory.","archived":false,"fork":false,"pushed_at":"2024-09-26T15:23:28.000Z","size":48,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-09T16:31:59.696Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"C#","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SKitLs-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-11T16:17:16.000Z","updated_at":"2024-09-26T15:23:32.000Z","dependencies_parsed_at":"2024-07-11T20:25:47.423Z","dependency_job_id":"ab3dc5ad-4ad0-4f80-b271-85e029a9823b","html_url":"https://github.com/SKitLs-dev/SKitLs.Data.IO","commit_stats":null,"previous_names":["skitls-dev/skitls.data.io"],"tags_count":5,"template":false,"template_full_name":null,"purl":"pkg:github/SKitLs-dev/SKitLs.Data.IO","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SKitLs-dev%2FSKitLs.Data.IO","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SKitLs-dev%2FSKitLs.Data.IO/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SKitLs-dev%2FSKitLs.Data.IO/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SKitLs-dev%2FSKitLs.Data.IO/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SKitLs-dev","download_url":"https://codeload.github.com/SKitLs-dev/SKitLs.Data.IO/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SKitLs-dev%2FSKitLs.Data.IO/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28472624,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-15T20:50:13.584Z","status":"ssl_error","status_checked_at":"2026-01-15T20:49:17.379Z","response_time":62,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-28T21:12:38.549Z","updated_at":"2026-01-15T22:10:16.033Z","avatar_url":"https://github.com/SKitLs-dev.png","language":"C#","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SKitLs.Data.IO ![Static Badge](https://img.shields.io/badge/Follow%20GitHub%20-%20black?logo=github\u0026link=https%3A%2F%2Fgithub.com%2FSKitLs-Dev%2FSKitLs.Data.IO.git) ![GitHub](https://img.shields.io/github/license/SKitLs-Dev/SKitLs.Data.IO) ![Nuget](https://img.shields.io/nuget/v/SKitLs.Data.IO)\n\n_README version: 24.VII_\n\nSKitLs.Data.IO aims to streamline data input and output processes by providing a unified and intuitive approach for reading from and writing to disk storage directly into the application's memory.\n\nThe library includes interfaces such as `IReader` and `IWriter`, which serve as the core components for handling data operations.\nThese interfaces ensure flexibility and ease of use, making it simple to implement efficient data management solutions in various applications.\nBy abstracting the complexity of data I/O, SKitLs.Data.IO enables developers to focus on the essential functionality of their software, ensuring robust and high-performance data handling.\n\n# Contents\n* [Setup](#Setup)\n* [Usage](#Usage)\n* [Contributors](#Contributors)\n* [License](#License)\n* [Developer contact](#Developer-contact)\n* [Notes](#Notes)\n\n# Setup\n\n### Installation\n\n1. Using Terminal Command:\n    \n    To install the project using the terminal command, follow these steps:\n\n    1. Open the terminal or command prompt.\n    2. Run command:\n    \n    ```\n    dotnet add package SKitLs.Data.IO\n    ```\n\n2. Using NuGet Packages Manager:\n\n    To install the project using the NuGet Packages Manager, perform the following steps:\n\n    1. Open your preferred Integrated Development Environment (IDE) that supports NuGet package management (e.g., Visual Studio).\n    2. Create a new project or open an existing one.\n    3. Select \"Project\" \u003e \"Manage NuGet Packages\"\n    4. In the \"Browse\" tab, search for the project package you want to install.\n    5. Click on the \"Install\" button to add the selected package to your project.\n    5. Follow any additional setup instructions or configurations provided in the project's documentation.\n\n3. Downloading Source Code and Direct Linking:\n\n    To install the project by downloading the source code and directly linking it to your project, adhere to the following steps:\n\n    1. Visit the project repository on [GitHub](https://github.com/SKitLs-dev/SKitLs.Data.IO)\n    2. Click on the \"Code\" button and select \"Download ZIP\" to download the project's source code as a zip archive.\n    3. Extract the downloaded zip archive to the desired location on your local machine.\n    4. Open your existing project or create a new one in your IDE.\n    5. Add the downloaded project files to your solution using the \"Add Existing Project\" option in your IDE's solution explorer.\n    6. Reference the project in your solution and ensure any required dependencies are resolved.\n    7. Follow any additional setup or configuration instructions provided in the project's documentation.\n\nPlease note that each method may have specific requirements or configurations that need to be followed for successful installation.\nRefer to the project's documentation for any additional steps or considerations.\n\n\n# Usage\n\nTo get up-to-dated usage examples, please visit [wiki](https://github.com/SKitLs-dev/SKitLs.Data.IO/wiki).\n\n\n# Contributors\n\nCurrently, there are no contributors actively involved in this project.\nHowever, our team is eager to welcome contributions from anyone interested in advancing the project's development.\n\nWe value every contribution and look forward to collaborating with individuals who share our vision and passion for this endeavor.\nYour participation will be greatly appreciated in moving the project forward.\n\nThank you for considering contributing to our project.\n\n\n# License\n\nThis project is distributed under the terms of the MIT License.\n\nCopyright (C) 2024, SKitLs\n\n\n# Developer contact\n\nFor any issues related to the project, please feel free to reach out to us through the project's GitHub page.\nWe welcome bug reports, feedback, and any other inquiries that can help us improve the project.\n\nYou can also contact the project owner directly via their GitHub profile at the [following link](https://github.com/SKitLs-dev) or email: skitlsdev@gmail.com\n\nYour collaboration and support are highly appreciated, and we will do our best to address any concerns or questions promptly and professionally.\nThank you for your interest in our project.\n\n\n# Notes\n\nThank you for choosing our solution for your needs, and we look forward to contributing to your project's success.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskitls-dev%2Fskitls.data.io","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fskitls-dev%2Fskitls.data.io","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskitls-dev%2Fskitls.data.io/lists"}