XinYiCMS content management system

XinYiCMS is a website content management system based on Microsoft's DotNet technology architecture. It is also an entry-level cms product for Internet practitioners. XinYiCMS is developed in a modular manner, with powerful functions, flexibility and easy expansion. All released versions are applications of the core functional framework, providing lightweight website construction solutions for small and medium-sized sites. The XinYiCMS team has accumulated rich web development experience for a long time, focusing on user experience and practical design concepts, making XinYiCMS recognized by the majority of users, and is increasingly being learned and used by Internet webmasters or practitioners.

Xinyi CMS content management system 2.0 has the following updates compared to the previous version:
1. Add the member center system module, which is the basic structure and is divided into two parts: the member center control panel and the member space.
2. All template tags can replace public tags
3. Add common content types, articles, software, videos, photo albums
4. Add custom classifications, and you can make upper-level column classifications for a certain content type or extended type to unlimited levels.
5. Change the background default login page.
6. Unlimited column management, deletion, modification, content
7. Add a single-page content type to comply with the general type of website columns, About Us
8. Template management is added: new templates, label descriptions, and template lists should show the path of the template, and can be edited and changed online.

Correction part:
1. Remove the iis configuration.html extension and use dynamic callable
2.xyc_PhotoClass table, field pc_key_id should be int type
3. Modify the backend login page jump problem

New version features:
1. Supports dynamic calling, pure static generation and custom configuration browsing mode, which greatly increases website experience and flexibility.
2. Support js calling and custom form model.
3. The labeling algorithm has been optimized, the speed has been significantly improved compared to the previous one, and the performance is more significant than that of similar CMS products.