bundlejs
BundlePhobia
esbuild
Webpack
rollup.js
Gulp.js
Vite
Vitest
Amazon S3
AWS Lambda
Google Cloud Storage
Amazon CloudFront
Amazon EC2
DigitalOcean
Amazon AWS
DynamoDB
bundle is a quick and easy way to bundle your projects, minify and see it's gzip size. It's an online tool similar to bundlephobia, but bundle does all the bundling locally on you browser and can treeshake and bundle multiple packages (both commonjs and esm) together, all without having to install any npm packages and with typescript support.
If there is something I missed, a mistake, or a feature you would like added please create an issue or a pull request and I'll try to get to it. You can contribute to this project at okikio/bundle.
You can join the discussion on Github discussions or Twitter.
You can now use search queries in bundle, all you need to do is add this to the url
?q={packages}&treeshake={methods to treeshake}
e.g.
You want react, react-dom, vue, and @okikio/animate, but only want the Animate and toStr methods exported from @okikio/animate.
You would add this to the url bundlejs.com/?q=react,react-dom,vue,@okikio/animate&treeshake=[*],[*],[*],[{Animate,toStr}]
Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
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Based on our record, Amazon S3 seems to be a lot more popular than bundlejs. While we know about 214 links to Amazon S3, we've tracked only 10 mentions of bundlejs. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I think a neat route would be to use this as an authoring plugin in VS Code, like prettier: write Duper (or JSON5, or whatever), and then downlevel it to regular json automatically when pressing cmd-s. You wouldn't get to keep your comments (or they could be transformed to { "//": "comment text" }). Outside of that, it's tough to compete with JSON in the "human readable unschematized serialization format" market,... - Source: Hacker News / 10 months ago
React's bundling system and published packages has gotten noticeably more complicated over time. First, there's the separation between the generic cross-platform `react` package, and the platform-specific reconcilers like `react-dom` and `react-native. All the actual "React" logic is built into the reconciler packages (ie, each contains a complete copy of the actual `react-reconciler` package + all the... - Source: Hacker News / 11 months ago
These numbers don't reflect anything useful. This is the total size of the code in the package, most of which will be tree-shaken. In Zod's case, the package now contains three independent sub-libraries. I recommend plugging a script into bundlejs.com[0] to see bundle size numbers for a particular script [0] https://bundlejs.com. - Source: Hacker News / over 1 year ago
[bundlejs](https://bundlejs.com/) is the better alternative to check your dependency sizes with. - Source: Hacker News / over 1 year ago
I was closing out some long lived issues over on bundlejs, when issue #50 reminded me of the ongoing debate about how bundlejs should handle the ESM and CJS packages. - Source: dev.to / about 3 years ago
TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that persistence layer needs its own encryption at rest. An unencrypted file sitting in an Amazon S3 bucket with overly permissive ACLs falls outside what the API provider's TLS covers. - Source: dev.to / 3 months ago
SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / 4 months ago
Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple Storage Service (Amazon S3) paths linked to descriptions. Secure training data with Amazon Virtual Private Cloud (Amazon VPC) + AWS PrivateLink. - Source: dev.to / 4 months ago
You need to understand vector stores for semantic and hybrid search using Amazon OpenSearch Service and Amazon Simple Storage Service (Amazon S3). Prompt caching helps reduce costs by reusing previously processed prompts. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models. Flow orchestration with Amazon... - Source: dev.to / 5 months ago
All fine-tuning used Amazon SageMaker Training Jobs — no instance provisioning, no SSH, no manual teardown. You provide a training script and an S3 dataset path, specify the instance type, and SageMaker handles the rest. - Source: dev.to / 6 months ago
BundlePhobia - Find the performance impact of adding a npm package to your bundle.
AWS Lambda - Automatic, event-driven compute service
esbuild - An extremely fast JavaScript bundler and minifier
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.
Amazon CloudFront - Amazon CloudFront is a content delivery web service.