3.8
118 条评分
★★★★☆
2025年5月3日
2024年2月10日
更新内容
v3.11.1• Fixed an issue with buffextras parsing • Fixed slightly broken notice handling in very specific situations
应用信息
- 开发者
- Eskimo Software
- 分类
- Social Networking
- 价格
- 免费
- 版本
- 3.11.1
- App ID
- 6475702560
简介
Introducing the new Igloo: a complete overhaul delivering an IRC Client with enhanced performance and stability. This latest version, reengineered from the ground up, offers a refined user experience while maintaining the simplicity and versatility you expect from Igloo. What's New: • Multi-File DCC/XDCC: Enhanced to support simultaneous file transfers, now conveniently stored locally for immediate access. • Redesigned User Interface: A cleaner, more intuitive UI paired with a selection of themes, elevating your chat experience. • Optimized for Bouncers: Advanced features tailored for a seamless experience with popular bouncers like ZNC. Core Features: • Comprehensive Network Support: Compatible with all IRC networks, including Freenode, Libera, Rizon, EFnet, and more. • Secure Communication: Ensured by SSL/TLS encryption. • ZNC Integration: Seamless integration with ZNC and a Push Notification module (https://push.igloo.app). • Versatile File Sharing: File, image, audio, and video sharing supported through platforms like Arxius.io and Imgur.com. • Enhanced Input Completion: For channels, nicks, and commands. • Inline Media Viewing: Experience inline media display for a more engaging chat environment. • Customization and Compliance: Customize your experience with inline nick coloring, full formatting with 99 color support, and adherence to IRCv3 standards. • VoiceOver Accessibility: Enhanced accessibility features including VoiceOver integration to support our vision-impaired users. We're committed to evolving Igloo based on your feedback. If there are features you'd like to see in future updates, please let us know at contact@igloo.app or join us at #igloo on iglooirc.com. Terms of Service: https://igloo.app/terms Privacy Policy https://igloo.app/privacy
下载量预测
预估总下载量
84
低 / 月
120
预估 / 月
211
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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