sciter-js-sdk VS esm.sh

- https://gitlab.com/sciter-engine/sciter-js-sdk/-/tree/main/b... - Skia backend.

You can load in usciter this document:

https://gitlab.com/sciter-engine/sciter-js-sdk/-/blob/main/s...

It shows pretty large colorized texts so you can estimate how Direct2D and Skia handle GPU accelerated text rendering. For these two binaries the difference is only in graphics used - Direct2D and Skia.

Agree about virtualization in principle. Not that nightmarish though.

My Sciter supports built-in virtualization out of the box. But I shall admit that this is second approach to the problem.

Currently Sciter's behavior:virtual-list supports as fixed-height items (that's easy) as variable-height items like messages [1] in chats.

API is relatively simple [2]: single event "contentrequired" that virtual-list sends to JS. In response JS shall either append or prepend requested number of DOM elements to the container (a.k.a. sliding window scroller). Example, grid showing 20000 records: https://gitlab.com/sciter-engine/sciter-js-sdk/-/blob/main/s...

[1] https://sciter.com/behaviorvirtual-list-for-sciter-and-scite...

Thank you for your explanation. As for Electron alternatives, Sciter is much more lightweight, supports Vue and includes a native webview. Anyway, good luck with your project!

> we have a number of other libs to integrate, some of which add their own rendering (which requires access to e.g. a Vulkan context, not merely HTML/CSS or other high-level UI elements)…

I have a customer that is doing something close: it is a 3D CAD alike app where they have Vulkan rendering 3D scene with Sciter UI on top of that - rendering chrome UI around that 3D and on the same Vulkan surface.

Sciter API supports rendering in windowless mode (https://gitlab.com/sciter-engine/sciter-js-sdk/-/tree/main/d...) where app supplies OpenGL, Vulkan or DirectX context to render on.

> Sorry, but I'll have to pass.

Understood. Sometimes people need not just to get job done but also "OS" label on it.

Attempt to combine all these definition in single language is doomed to fail. If in doubts then look at WPF.

3. Notes on language-behind-UI...

If to consider #2 then such simple thing as JavaScript language and VM are quite adequate to the task. Language-behind-UI do not need to be that performant, but it must be flexible. I may express un-popular opinion but language-behind-UI should be typeless.

Simply put: don't do ray tracing in language-behind-UI. But! Such a language shall have simple mechanism of adding high performant functions. There are good languages that are specifically designed for performance: C, C++, D, Rust, Zig, WebAssembly, etc. You just need convenient mechanism to expose those functions to runtime of language-behind-UI. Like here: https://gitlab.com/sciter-engine/sciter-js-sdk/-/blob/main/d...

You need JITs, compilation, fat VMs and runtimes, strong types only if your language is the only mean to define algorithms in whole application. But expect that your code will always be sub-optimal - neither enough performant nor super flexible.

4. Conclusion

Flutter should be something Sciter-alike :) - use [X]HTML/JSX, CSS and some already well known language-behind-UI. JavaScript is the natural choice. If needed you should be able to use native UI components - like in Sciter you can use existing HWND based and windowless native components inside your UI. It may not follow Web UI model on 100% (that's impossible) but to be conceptually close so developers can reuse their skills. Web UI model is conceptually close to Mobile one - all application UI is constrained inside single window.

I'm surprised no one has mentioned it but I've been using SciterJS (website) for my most recent project. I wouldn't ever claim it's the best UI framework out there, but it's lightweight and I've never felt so productive - I've rapidly developed my UI and integrated it with my native C++ far faster than I thought possible. I will note that it is far, far cheaper and has so many more features than Ultralight does.

Only when code tries to access props/methods of the loaded object it gets fetched from disk, its __proto__ is set to particular class, etc.

More on this architecture: https://gitlab.com/sciter-engine/sciter-js-sdk/-/blob/main/d...

Patched QuickJS with storage support is here: https://gitlab.com/c-smile/quickjspp - it uses DyBase of Konstantin Knizhnik as a storage.

More on i18n support in Sciter.

Sciter got native (built-in) Signal implementation made after PReact's Signals;

/* eslint-disable @typescript-eslint/ban-ts-comment */ // Follow this setup guide to integrate the Deno language server with your editor: // https://deno.land/manual/getting_started/setup_your_environment // This enables autocomplete, go to definition, etc. import { corsHeaders } from "../_shared/cors.ts"; import { createClient } from "https://esm.sh/@supabase/[email protected]"; import randomSample from "https://esm.sh/@stdlib/[email protected]"; import Replicate from "https://esm.sh/[email protected]"; import { base64 } from "https://cdn.jsdelivr.net/gh/hexagon/base64@1/src/base64.js"; const supabaseClient = createClient( Deno.env.get("SUPABASE_URL") ?? "", Deno.env.get("SUPABASE_SERVICE_ROLE_KEY") ?? "" ); const replicate = new Replicate({ auth: Deno.env.get("REPLICATE_API_TOKEN") ?? "", }); // @ts-expect-error Deno.serve(async (req) => { if (req.method === "OPTIONS") { return new Response("ok", { headers: corsHeaders }); } const { record } = await req.json(); const thought_id = record.id; if (!thought_id) { return new Response("Missing thought_id", { status: 400, headers: { "Content-Type": "application/json", ...corsHeaders }, }); } const allObjectIDsResponse = await fetch( "https://collectionapi.metmuseum.org/public/collection/v1/objects?departmentIds=11", { method: "GET", headers: { "Content-Type": "application/json", Accept: "application/json", }, } ); const { objectIDs } = await allObjectIDsResponse.json(); const listOfArtworks = []; const addedIDs: number[] = []; while (listOfArtworks.length < 80) { const randomObjectID = randomSample(objectIDs, { size: 1 })[0]; if (addedIDs.includes(randomObjectID)) continue; const res = await fetch( `https://collectionapi.metmuseum.org/public/collection/v1/objects/${randomObjectID}`, { method: "GET", headers: { "Content-Type": "application/json", Accept: "application/json", }, } ); const artwork = await res.json(); if (!artwork.primaryImageSmall) continue; addedIDs.push(artwork.objectID); listOfArtworks.push({ image_url: artwork.primaryImageSmall, artist_name: artwork.artistDisplayName, title: artwork.title, is_main: listOfArtworks.length === 0, is_variant: false, thought_id, }); } const mainImage = listOfArtworks[0]; const output = await replicate.run( "yorickvp/llava-13b:b5f6212d032508382d61ff00469ddda3e32fd8a0e75dc39d8a4191bb742157fb", { input: { image: mainImage.image_url, top_p: 1, prompt: "Describe this painting by " + mainImage.artist_name, max_tokens: 1024, temperature: 0.2, }, } ); const file = await fetch(mainImage.image_url).then((res) => res.blob()); const promises = []; for (let i = 0; i < 8; i++) { const body = new FormData(); body.append( "prompt", output.join("") + `, a painting by ${mainImage.artist_name}` ); body.append("output_format", "jpeg"); body.append("mode", "image-to-image"); body.append("image", file); body.append("strength", clamp(Math.random(), 0.4, 0.7)); const request = fetch( `${Deno.env.get( "STABLE_DIFFUSION_HOST" )}/v2beta/stable-image/generate/sd3`, { method: "POST", headers: { Accept: "application/json", Authorization: `Bearer ${Deno.env.get("STABLE_DIFFUSION_API_KEY")}`, }, body, } ); promises.push(request); } const results = await Promise.all(promises); const variants = await Promise.all(results.map((res) => res.json())); await supabaseClient.from("artworks").insert(listOfArtworks); for (let i = 0; i < variants.length; i++) { const variant = variants[i]; const randomId = Math.random(); await supabaseClient.storage .from("variants") .upload( `${thought_id}/${randomId}.jpeg`, base64.toArrayBuffer(variant.image), { contentType: "image/jpeg", } ); await supabaseClient.from("artworks").insert({ image_url: `${Deno.env.get( "SUPABASE_URL" )}/storage/v1/object/public/variants/${thought_id}/${randomId}.jpeg`, artist_name: mainImage.artist_name, is_main: false, is_variant: true, thought_id, }); } await supabaseClient .from("thoughts") .update({ generating: false }) .eq("id", thought_id); return new Response(JSON.stringify({ main: mainImage }), { headers: { "Content-Type": "application/json", ...corsHeaders }, }); }); function clamp(value: number, min: number, max: number) { return Math.min(Math.max(value, min), max); }

const extism = await import("https://esm.sh/@extism/extism");

Unpkg serves whatever is published to NPM, and if it's a library intended for the browser, that often includes minified versions ready for use in script tags, for example, https://unpkg.com/[email protected]/mithril.min.js. Sometimes the default export is CJS (which has require() calls), in which case, you can usually use the browse url that I mentioned to see if there's another export you can use.

https://esm.sh/ is definitely a good option too if you're OK with modules.

* Change my NPM imports to something that would work with Deno. The most straightforward thing to do was just change `import "foo"` to `import "npm:foo"`, but this felt hacky so eventually I used https://esm.sh, which worked for some packages but not others.

import { createClient } from "https://esm.sh/@supabase/supabase-js@2"; import { create, Payload } from "https://deno.land/x/[email protected]/mod.ts"; interface User { username: string; pin: string; } const supabase = createClient(Deno.env.get('SUPABASE_URL'), Deno.env.get('SUPABASE_SERVICE_ROLE_KEY')); const handler = async (req: Request): Promise => { if (req.method !== 'POST') { return new Response(null, { status: 405 }); } const { username, pin } = await req.json() as Vehicle; if (!username|| !pin) { return new Response(JSON.stringify({ error: 'username and PIN are required' }), { status: 400 }); } const { data, error } = await supabase .from('users') .select('*') .eq('username', username) .eq('pin', pin) .single(); if (error || !data) { return new Response(JSON.stringify({ valid: false }), { status: 401 }); } const jwtSecret = Deno.env.get('JWT_SECRET') as string;; const payload: Payload = { "username": username }; try { const token = await create({ alg: "HS256", typ: "JWT" }, payload, jwtSecret); // This line has the error console.log(token); return new Response(JSON.stringify({ token }), { status: 200 }); } catch (error) { console.error('Error creating JWT:', error); return new Response(JSON.stringify({ error: 'Error creating JWT' }), { status: 500 }); } }; Deno.serve(handler);

Easily serve libraries from local server/private VPS: You can try to serve and cache libraries by running esm.sh to improve loading times on your server side. Or to keep things simple, just upload a code to pastebin or similar services and directly use it here!

import { serve } from 'https://deno.land/[email protected]/http/server.ts'; import { WebClient } from 'https://deno.land/x/[email protected]/mod.js'; import { SupabaseClient } from 'https://esm.sh/@supabase/supabase-js@2'; const slack_bot_token = Deno.env.get("SLACK_TOKEN") ?? ""; const bot_client = new WebClient(slack_bot_token); const supabase_url = Deno.env.get("SUPABASE_URL") ?? ""; const service_role = Deno.env.get("SUPABASE_SERVICE_ROLE_KEY"); const supabase = new SupabaseClient(supabase_url, service_role); console.log(`Slack URL verification function up and running!`); serve(async (req) => { try { const req_body = await req.json(); console.log(JSON.stringify(req_body, null, 2)); const { token, challenge, type, event } = req_body; if (type == 'url_verification') { return new Response(JSON.stringify({ challenge }), { headers: { 'Content-Type': 'application/json' }, status: 200, }); } else if (event.type == 'app_mention') { const { user, text, channel, ts } = event; const url_path = text.toLowerCase() .includes('code') ? '/code' : '/general'; const { error } = await supabase.from('job_queue').insert({ http_verb: 'POST', payload: { user, text, channel, ts }, url_path: url_path }); if (error) { console.error(error); return new Response(JSON.stringify({ error: error.message }), { headers: { 'Content-Type': 'application/json' }, status: 400, }); } await post(channel, ts, `Taking a look and will get back to you shortly!`); return new Response('', { status: 200 }); } } catch (error) { return new Response(JSON.stringify({ error: error.message }), { headers: { 'Content-Type': 'application/json' }, status: 400, }); } }); async function post(channel: string, thread_ts: string, message: string): Promise { try { const result = await bot_client.chat.postMessage({ channel: channel, thread_ts: thread_ts, text: message, }); console.info(result); } catch (e) { console.error(`Error posting message: ${e}`); } }