centrifuge VS go-dataframe

BTW, Centrifugo is based on https://github.com/centrifugal/centrifuge Go library which may provide much more control and flexibility for Gophers than a standalone server and can be embedded to any Go app leveraging all Centrifugo client SDKs.

There are libraries which provide more advanced APIs for creating real-time applications, for example https://github.com/centrifugal/centrifuge

Yes, but there are two excelent libs for golang websockets - https://github.com/gobwas/ws - https://github.com/centrifugal/centrifuge

What https://github.com/centrifugal/centrifuge does:

Have you considered https://github.com/centrifugal/centrifuge? It also uses Gorilla WebSocket for WebSocket transport at the moment – but it's hidden inside and may be replaced if needed since Transport interface is pluggable. It's more heavyweight though than both Melody and Gorilla WebSocket but provides much more functionality out-of-the-box.

Not a Socket.IO compatible but maybe you will find it useful/interesting: https://github.com/centrifugal/centrifuge

Thanks! BTW, Centrifugo's core is based on https://github.com/centrifugal/centrifuge Go library - which theoretically can be more flexible and extensible solution for Go developers than Centrifugo server since server dictates some auth/permission/channel/api rules.

Hello, +1 to WebSockets. If you need to choose WS library – go with https://github.com/gorilla/websocket or https://github.com/gobwas/ws. You can also look at Centrifugo server (https://centrifugal.dev/, supports WebSocket, SockJS bidi transports, also EventSource, HTTP-streaming, GRPC unidirectional transports and many builtin features) or https://github.com/centrifugal/centrifuge Go library.

Just use my library go-dataframe and you’ll be good to go!

I’ll just put this right here go-dataframe