Fast open source Slack desktop app, written in Node.js with native UI powered by the Yue library.
Note that this project is not actively maintained, you may want to use the fork lounge-lizard instead.
Do not use this for work, you might miss important messages due to bugs and missing features.
To find latest releases for different platforms, go to the Releases page on GitHub.
- Yue - Cross-platform native UI library
- Yode - Node.js fork with GUI message loop
- Yackage - Package Node.js project with Yode
Resources used by Wey are based on following things:
- The Node.js runtime.
- Native windows and widgets.
- HTML view used for rendering messages.
- Cached Users and messages information in teams.
Normally for multiple teams with heavy traffics, Wey should not have any significant CPU usage, and RAM usage is usually under 100MB. However if you have a team with more than 10k users in it, the memory usage may increase a lot.
Wey is developed with following principles, the ultimate goal is to provide a fast and powerful chat app.
Use native UI for almost everything
Most parts of Wey should be created with native UI widgets from Yue library, when there is need for custom UI, draw it manually.
HTML is our friend
Webview is a great tool as long as we use it wisely. For rendering the rich messages of Slack, HTML is the best tool.
Be careful when adding dependencies, only use third party modules that are small and without tons of dependencies.
Hide details of chat service providers
While Wey currently only supports Slack, it is on roadmap to add support for more services, and in future we will support plugins to add arbitrary services.
To achieve this we must ensure the views and controllers must only operate on the public interfaces of models, all internal implementations must be hidden from outside.
Wey supports multiple windows with different types for reading messages, so the views should act only as users of models, and should not manage the models.
As benefit creating views in Wey is very fast, opening a new window is almost as fast as showing a hidden window. Users can close all windows and run Wey in background, while still be able to open a new window quickly.
Correctly unload things
Please limit the size of pull requests under 300 lines, otherwise it would be rather hard to review the code. If you have a big feature to add, please consider splitting it into multiple pull requests.
It is also encouraged to fork this project or even develop commercial apps based on this project, as long as you follow the GPLv3 license.
In Wey most time are spent on networking, especially on startup when fetching channels information from Slack, and performance is usually limited by Slack's APIs.
Most operations are done via web API
In Slack while there is Real Time Messaging API, most common operations can only be done via web APIs, i.e. by sending HTTPS requests, and it is really slow.
Messages do not include user information
The messages history we pulled from Slack does not include full user information, it only has user IDs in it. So in order to render the messages we have to pull users list first.
However certain Slack teams have more than 20k users, and it is impossible to download all users' information and cache them. Because of this rendering messages becomes asynchronous work, whenever an uncached user ID is encountered, we have to wait and pull user's information before rendering the message.
Some bots are not returned in
users.list should also return bot users, it somehow does not return
certain bot users. As a result even for small teams that we can cache all the
users, we still have to spend time fetching user information when rendering
channel messages involving bots.
I have met some quirks when using Slack APIs, any help would be appreciated.
- To mark a channel as read we need to send last read timestamp, but it is really to determine which timestamp to send. Marking certain bot messages as read would make Slack server think the channel is unread.
The main source code under
lib/ are published under GPLv3, other things are
published under public domain.