Parcel Alternatives

parcel reviews and mentions

• Getting Tailwind to Work with Elm Book
  12 projects | dev.to | 28 Nov 2022

  Most front-end frameworks nowadays include these features as part of their CLI’s such as Create React App, Angular’s ng-cli, etc. For those that don’t, many will use a combination of some type of bundler like Parcel, Rollup, or Webpack and a browser refresher like livereload. This enables you to write code, save it, and immediately see the results. This in turn leads to fast feedback as you iterate all day in this build loop. The native Elm Reactor doesn’t offer this ability and elm-live fits the bill as a small Node.js library to enable this.

• Front-end Guide
  54 projects | dev.to | 23 Nov 2022

  Parcel

• Getting Started With Parcel.js: A Web Application Bundler in 2022
  7 projects | dev.to | 2 Nov 2022

  First of all, you’ll notice that Parcel always places your bundled scripts and stylesheets in the same directory as the entry point HTML files. This happens even if you have your CSS and JavaScript files in separate folders. Since these are production files, it might not matter much. But it’s something to keep in mind. The good news is this seems to have been corrected in the upcoming Parcel version 2 (still in Alpha). So there should be a way to override this behavior when that version of Parcel is stable (the current stable version is 1.12.4).

  7 projects | dev.to | 2 Nov 2022

  Webpack is the most popular bundler and it followed on the heels of Require.js, Rollup, and similar solutions. But the learning curve for a tool like webpack is steep. Getting started with webpack isn’t easy due to its complex configurations. As a result, in recent years another solution has emerged. This tool is not necessarily a front-runner, but an easier-to-digest alternative on the front-end module bundler landscape. Introducing Parcel.js.

• Vercel announces Turbopack, the successor to Webpack
  21 projects | news.ycombinator.com | 25 Oct 2022

  After years of configuring webpack for various projects I have finally decided to migrate all my projects to Parcel[1] manly because I got tired of creating and maintaining hundreds of lines of webpack.config.js files, I wanted something that just works. I am really happy with that decision.

  Parcel is plenty fast and is pretty much zero config, I can use it to build libraries[2] as well as applications[3] for the browser and node.

  I am manly building client side react applications, so your mileage may vary.

  [1] https://parceljs.org/

  [2] https://parceljs.org/getting-started/library/

  [3] https://parceljs.org/getting-started/webapp/

  21 projects | news.ycombinator.com | 25 Oct 2022

  > I just wanna `script/build` or `yarn dev` and not think about it anymore.

  Parcel might be a good fit for you: https://parceljs.org/

• I made a website that puts your face on your pet, using Cloud Vision and ML. The results are absurd as they are ridiculous
  4 projects | reddit.com/r/webdev | 22 Oct 2022

  Have a go at petswitch.com if you wish... I made the original Petswitch almost ten years ago, and it's had mild success since then, including CNET writing an article about it and it receiving the prestigious honour of 'most useless website' in week 41 of 2018, as determined by theuselesswebindex.com. Aside from the obvious question of why I even made this, it was getting pretty creaky – I originally built it with PHP and ImageMagick, with the facial features being manually selected via jQuery UI. So I decided to rebuild the whole thing with a full face-to-pet ML pipeline, on static hosting. To get the human face features, the app renders the upload to a temporary img element. This is a handy way to orient the image correctly via the browser, and saves having to deal with EXIF data. It's then resized, rendered to a canvas element, converted to a base64 string, then sent via fetch to Google's Cloud Vision API, which returns landmark coordinates of the face. I use these coordinates to correct any tilt on the face, mask the eyes and mouth via a mask image, then store each masked element as an additional canvas. Detecting pet faces was trickier. Google, Amazon and Microsoft all offer object detection APIs via transfer learning, and the approach is largely the same: you supply a series of images with bounding boxes around the objects you want to detect, either added via a web interface or uploaded via their API. You train a model online from these supplied images, then the service will return the estimated coordinates of any detected objects in an uploaded image. I found a dataset of both cats and dogs that had been labelled with landmarks on their faces, then wrote a script to convert the landmarks into bounding boxes around their eyes and nose, the dimensions based on a simple formula around the distance between the eyes in each image. All in all it's been trained on about 17,000 images of cats and dogs, and the accuracy seems to be pretty good. I was pleased to discover it actually works pretty well on other pets too. I've also added some friendly pets to the Petswitch family for those that don't have a pet on hand. I decided not to use a framework for this, it's written from scratch using a series of ES6 modules – although I did use Konva to handle the manual selection of facial features if the API can't detect a face. I used ParcelJS as my task runner, and my detection APIs are hosted on Firebase Cloud Functions. Let me know if you have any questions, although I can offer no good explanation for why I created this monstrosity...

• Couple super basic Typescript questions from a newbie: how to compile and how to start learning
  5 projects | reddit.com/r/typescript | 24 Sep 2022

  Assuming you’re familiar with node and your package manager of choice, I’d recommend looking at parcel. It will let you serve vanilla HTML, CSS, and TS files to a local dev server just like you would normally with vanilla JS.

• Développer une API Rest avec NodeJS, Express et MongoDB: #1 Configuration du projet
  3 projects | dev.to | 11 Sep 2022

  # Logs logs *.log npm-debug.log* yarn-debug.log* yarn-error.log* lerna-debug.log* .pnpm-debug.log* # Diagnostic reports (https://nodejs.org/api/report.html) report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json # Runtime data pids *.pid *.seed *.pid.lock # Directory for instrumented libs generated by jscoverage/JSCover lib-cov # Coverage directory used by tools like istanbul coverage *.lcov # nyc test coverage .nyc_output # Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) .grunt # Bower dependency directory (https://bower.io/) bower_components # node-waf configuration .lock-wscript # Compiled binary addons (https://nodejs.org/api/addons.html) build/Release # Dependency directories node_modules/ jspm_packages/ # Snowpack dependency directory (https://snowpack.dev/) web_modules/ # TypeScript cache *.tsbuildinfo # Optional npm cache directory .npm # Optional eslint cache .eslintcache # Optional stylelint cache .stylelintcache # Microbundle cache .rpt2_cache/ .rts2_cache_cjs/ .rts2_cache_es/ .rts2_cache_umd/ # Optional REPL history .node_repl_history # Output of 'npm pack' *.tgz # Yarn Integrity file .yarn-integrity # dotenv environment variable files .env .env.development.local .env.test.local .env.production.local .env.local # parcel-bundler cache (https://parceljs.org/) .cache .parcel-cache # Next.js build output .next out # Nuxt.js build / generate output .nuxt dist # Gatsby files .cache/ # Comment in the public line in if your project uses Gatsby and not Next.js # https://nextjs.org/blog/next-9-1#public-directory-support # public # vuepress build output .vuepress/dist # vuepress v2.x temp and cache directory .temp .cache # Docusaurus cache and generated files .docusaurus # Serverless directories .serverless/ # FuseBox cache .fusebox/ # DynamoDB Local files .dynamodb/ # TernJS port file .tern-port # Stores VSCode versions used for testing VSCode extensions .vscode-test # yarn v2 .yarn/cache .yarn/unplugged .yarn/build-state.yml .yarn/install-state.gz .pnp.*

• CRA vs Parcel
  6 projects | dev.to | 5 Sep 2022

  Parcel,

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