Data Toolkit - All in one data-driven assistant
Arcspark
$0.0
$14.29
100%OFF
(no ratings)
Date |
Price |
---|---|
日時 |
価格($) |
06/29(2022) |
16.5 |
06/29(2022) |
8.25 |
07/07(2022) |
16.5 |
09/07(2022) |
16.49 |
09/14(2022) |
14.29 |
04/11(2023) |
0.0 |
11/22(2024) |
0.0 |
Jump AssetStore
An all-in-one toolkit focused on helping developer with data-driven development in games. It provides solutions for reading, writing and storing SQL, CSV and other common forms of game data.You don’t have time or skills to code cross-platform data handle and I/O functions for your projects?With our data toolkit, you’ll be able for instance to create easily a access a sqlite database or csv data and store them in a way you would like with only one line of code.| Documents |Here are the features we offer:1. SQLite ToolkitUse our SQL tools to complete CURD work in runtime. Support Int, String, Text and other common value types, and the direct SQL transaction statements are also supported.2. File UtilFile Util can help you get files in various forms with simple code, whether it is a local file, or a remote AssetBundle package or URL resource. You can save files and data assets with File Util on all supported platforms.3. CSV UtilEasily complete all operations on CSV through the tool. Provide additional random sequential access and type conversion schemes.4. Archive ManagerComplete the local saving of your user data in the form of JSON, and additionally support the serialization of Dictionary.The data toolkit supports both Android/IOS and PC/MAC OS. And it will focus on engine changes and provide long-term support to ensure the project stability of users. And more functions will be also updated for free in the subsequent versions.If you want to keep up with updates, please follow our GitHub official website.Contact us here : aekio@outlook.com.Include the following features:Automatic escape of SQL sensitive characters to prevent unexpected errors.Support standard CSV format, and allow users to customize the CSV separator you need.Supports CSV headers with type identification: Access to different types of data easily. The type headers are accessible at runtime.