egui VS awesome-bevy

Thanks for the feedback!

It is definitely fixable. Take a look at https://github.com/emilk/egui/issues/996 for some examples of how others have styled egui, or try out https://app.rerun.io/

Styling is done with `ctx.set_style`, but creating a nice style isn't very easy at the moment (basically you'll have to tweak constants in code, and then recompile). I'm working on making it easier as we speak though!

Nothing is wrong with that, it’s rather a workaround, ultimately I am trying to have one language only including the UI too (been playing with egui),so I don’t have to use JavaScript.

https://github.com/emilk/egui

FWIW, I opened an issue: https://github.com/emilk/egui/issues/4046

That's fair. I don't have experience with other immediate mode libraries. It's good to hear that it's not an intrinsic limitation

https://github.com/emilk/egui?tab=readme-ov-file#layout Here the author discusses the issue directly. They note that there are solutions to the issue, but that they all come with (in their opinion) significant drawbacks.

For my use case, if I have to do a lot of manual work to achieve what I consider behavior that should be handled by the framework, then I don't find that compelling and am inclined to use a retained mode implementation.

It totally depends on what IoT and what purpose, for example:

IIoT/PLC/industrial automation: most likely you will have to use vendors software, most if the time it’s crap, and a mix of several tech stacks like MSSQL/C#/C++

Sensors and such: depends on what are you building or using the sensors: the protocol mostly is MQTT, and if you would store it in a db postrrsql, elasticsearch, surreldb, influxdb among the most I used.

Robots/drones: on what I build, I use protobuf/grpc for performance and cross-language and direct linux socket io, and where needed websocket but mostly for any web interaction rather than the protocol itself. The tech stack for those, the embedded side is up to you or sometimes based on the sdk you are dealing with, the backend/frontend however, I used to use go/nodejs and for frontend svelte or a simple js library/framework, but recently I’m shifting and redoing everything in rust, embedded, backend and frontend (using something like egui https://github.com/emilk/egui).

When it comes to IoT, I try as much as possible to stay away from python unless you are scripting something else done in go/c++/rust, look at python as a glorified bash script, it’s useful for that or other data science work, but not in IoT.

Same goes with other tech you mentioned, it might suit one case but not another, for example, MQTT is good for sensor IoT type, but good luck controlling a drone with it, mongodb might be great to store a fleet of robots with its access credentials and such, but if you try to use it to store realtime data, it might not perform as expected, and so on.

AFAIK the Rust equivalent to C++'s Dear ImGui is egui.

The creator of Rerun (Emil Ernerfeldt) also created egui [1], an immediate GUI library for Rust. The library is similar to Dear ImGui but it is written in Rust and can be used for desktop and web apps (compiles to WASM and uses WebGL, demo [2]). Desktop apps can target OpenGL (does not display correct colors on macOS, does not work in VirtualBox on Windows) or WGPU (uses native APIs for each platform, works without any problems, but the binary is a big larger).

[1] https://github.com/emilk/egui

> [...] you can build UIs that are snappy and keyboard driven.

That's not an advantage that is exclusive to TUIs; after all, you're running your TUI inside a graphical application that emulates a terminal. (Unless you're rocking an actual VT102, in which case I bow down to you.)

In fact there's an entire class of applications that are extremely snappy and keyboard driven, by their very nature: games.

Some people have taken to writing GUI apps like you'd write a game, and the effects range from OK to fantastic. Check out Lagrange (https://gmi.skyjake.fi/lagrange/), AppManager (https://tildegit.org/solene/AppManager), Dear ImGUI (https://github.com/ocornut/imgui), egui (https://github.com/emilk/egui), and many others.

Honestly, frontend development especially with all these crowded frameworks and libraries always confused me so pardon my ignorance, which is why in a project I’m working on right now I’m trying not to use js, instead I’m using egui [1]

Zola is a static site generator and it’s crazy fast, using one binary only [2], also there’s Blades [3], same concept but supposedly faster, never tried it though.

[1] https://github.com/emilk/egui

[2] https://www.getzola.org

[3] https://getblades.org

Among Bevy contributors (including myself) there is a general hesitance to invest too much time in official learning material that will be obsolete by the next release. Bevy's APIs are beginning to stabilize ... and the appetite (both from users and from Bevy devs) for official material is increasing. The time is coming (soon)!

While you wait, there are a sizeable number of tutorials on YouTube, and we have learning material linked in https://bevyengine.org/assets/#learning as well.

User code is the same as engine code. It's all Rust. Consequently, Bevy already has a surprisingly rich ecosystem

I've summarized a lot of my thoughts in this blog post, but in short: * "The Developer's Engine": most engines are built using multiple languages, with significant abstraction between "user code" and "engine code". Bevy is built with a consistent stack and data model (see the blog post I linked to for details). If you "go to definition" on a Bevy app symbol in your IDE, the underlying engine code will look the same as your app code. You can also swap out basically everything. We have a vibrant plugin ecosystem as a result. These blurred lines also make it way easier for "Bevy app developers" to make direct contributions to the engine. Bevy App developers are Bevy Engine developers, they just don't know it yet. The new Bevy renderer (in 0.6) was also built with this principle in mind. It exposes low, mid, and high level renderer apis in a way that makes it easy to "insert yourself" into the engine. * Fully embraces ECS: No popular engines are currently all-in on ECS (either they have no official support ... or they are half-in half-out). I reflect on some of the benefits we've enjoyed thanks to Bevy ECS in the blog post I linked to. Note that there is a lot of pro and anti ECS hype. Don't just blindly follow dogma and hype trains. ECS isn't one thing and Bevy ECS intentionally blurs the lines between paradigms. * Fully Free and Open Source With No Contracts: Of the popular engines, only Godot is a competitor in this space.

I would recommend going to bevy's blog post(https://bevyengine.org/news/) since the update lists are the only convenient way I know it find out what features bevy actually has implemented directly. then go over to bevy assets(https://bevyengine.org/assets/) and you can see the community-made plugins to get an idea of the sorts of things people are making available to you. and finally, as a bit of self-promo, I have a youtube series called bevy basics where I got over how bevy does things, like the ECS and systems, moving into more direct use thing like getting user input you can fine it all here www.youtube.com/playlist?list=PL6uRoaCCw7GN_lJxpKS3j-KXuThRiSXc6

I've summarized a lot of my thoughts in this blog post: https://bevyengine.org/news/bevys-first-birthday/#things-i-m...

But in short (slight copy-paste of my generic Bevy pitch):

The Developer's Engine: most engines are built using multiple languages, with significant abstraction between "user code" and "engine code". Bevy is built with a consistent stack and data model (see the blog post I linked to for details). If you "go to definition" on a Bevy app symbol in your IDE, the underlying engine code will look the same as your app code. You can also swap out basically everything. We have a vibrant plugin ecosystem (https://bevyengine.org/assets) as a result. These blurred lines also make it _way_ easier for "Bevy app developers" to make direct contributions to the engine. Bevy App developers _are_ Bevy Engine developers, they just don't know it yet. The new Bevy renderer (in 0.6) was also built with this principle in mind. It exposes low, mid, and high level renderer apis in a way that makes it easy to "insert yourself" into the engine.

Fully embraces ECS: No popular engines are currently all-in on ECS (either they have no official support ... or they are half-in half-out). I reflect on some of the benefits we've enjoyed thanks to Bevy ECS in the blog post I linked to. Note that there is _a lot_ of pro _and_ anti ECS hype. Don't just blindly follow dogma and hype trains. ECS isn't one thing and Bevy ECS intentionally blurs the lines between paradigms.

We can't currently compete with the "big engines" on features, but we are adding features at a rapid (and growing) pace. Bevy was released about a year and a half ago. Most popular engines have been in development for almost 20 years (Godot since 2007, Unity since 2005, Unreal since 1998), so we have plenty of "time" from my perspective.

I'm a huge fan of Godot and used it to build my game High Hat over the course of about 4 years. I also contributed to it every once and awhile. When I was initially building Bevy, Godot's design decisions were always at the top of my mind (and they still are to this day). I love they way they do scenes (and our system draws inspiration from it). We also plan on borrowing their "dogfooding" approach to editor building (the Bevy Editor will be a normal Bevy App).

Bevy still has functionality gaps in most areas. And we still warn developers about stability and missing features in our learning material. But many people are successfully making games with Bevy at this point. Some companies are already successfully building on Bevy for commercial projects. Our modular "everything is a Rust plugin" approach means that most gaps can be filled with 3rd party plugins, and we already have a large ecosystem of people doing that: https://bevyengine.org/assets/.

One of the benefits of 4.0 is also the modularity of it with GDExtension. The major parts of the engine (including the physics) can be swapped with replacements without the need to recompile the entire engine. I'd usually say that is a long shot for community run projects, but even Bevy engine has community made extensions for separate physics engines.

https://bevyengine.org/assets/#physics

Forgetting about extensions, though, I see your point and almost agree, but Godot has shown that they will put in the work to improve their project, even if that means removing features like they did with visual scripting. Their physics engine will definitely be rough at first, but based on their past work, I believe they are willing and able to maintain it.

Lots of good community-developed networking plugins over in Bevy Assets

Hi all! In the Assets tab from the Bevy official website, there is a "Making a Chess Clone in 3D" tutorial to learn Bevy written by guimcaballero. Unfortunately it was written in Bevy 0.4.0 and using bevy_mod_picking 0.3.1.