chrome-aws-lambda
jq
Our great sponsors
| chrome-aws-lambda | jq | |
|---|---|---|
| 12 | 306 | |
| 3,136 | 25,063 | |
| - | - | |
| 0.0 | 0.0 | |
| 11 months ago | 11 months ago | |
| TypeScript | C | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
chrome-aws-lambda
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Lambdas vs EC2
Lambda would be my choice for this. You could even stay within the free tier depending how often you run this process. You can orchestrate puppeteer UI flows in lambda using this package https://github.com/alixaxel/chrome-aws-lambda My team does this and it works great.
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Building a PDF Generator using AWS Lambda
git clone --depth=1 https://github.com/alixaxel/chrome-aws-lambda.git && \ cd chrome-aws-lambda && \ make chrome_aws_lambda.zip
- Best way to scrape header + image from articles on scale?
- Ask HN: What are the best tools for web scraping in 2022?
- Is it possible to use functions requiring a GPU in a serverless google cloud function?
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Dynamic Open Graph images with Next.js
When requesting the API route, the Next.js serverless function will actually spin up a web browser on the server (a headless instance of Chromium, using chrome-aws-lambda). Next, a webpage will be generated with HTML we can define ourselves. This HTML will be used to construct the image. That means that as a developer we can generate images using HTML and CSS, technologies we are already familiar with!
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How we keep our Serverless deploy times short and avoid headaches
This plugin is used for all our AWS Lambda deployments, using a wide range of Node modules, some with more quirks than others. We use it together with Lambda Layer Sharp and Chrome AWS Lambda.
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How to create a chrome profile programmatically in aws lambda?
I was able to successfully to run chrome with puppeteer in AWS Lambda for a similar use case. I used an "optimized" version of chrome packaged as an AWS Lambda Layer.
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Create PDF documents with AWS Lambda + S3 with NodeJS and Puppeteer
git clone --depth=1 https://github.com/alixaxel/chrome-aws-lambda.git && \ cd chrome-aws-lambda && \ make chrome_aws_lambda.zip
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chrome binary not found aws lambda
Simplest method use ]Puppeteer](https://blog.risingstack.com/pdf-from-html-node-js-puppeteer/) with chrome-aws-lambda.
jq
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GNU Parallel, where have you been all my life?
That should recursively list directories, counting only the files within each, and output² jsonl that can be further mangled within the shell². You could just as easily populate an associative array for further work, or $whatever. Unlike bash, zsh has reasonable behaviour around quoting and whitespace too.
¹ https://zsh.sourceforge.io/Doc/Release/User-Contributions.ht...
² https://github.com/jpmens/jo
³ https://github.com/stedolan/jq
- How do i edit reputation?
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Jj: JSON Stream Editor
What I miss from jq and what is implemented but unreleased is platform independent line delimiters.
jq on Windows produces \r\n terminated lines which can be annoying when used with Cygwin / MSYS2 / WSL. The '--binary' option to not convert line delimiters is one of those pending improvements.
https://github.com/stedolan/jq/commit/0dab2b18d73e561f511801...
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Building and deploying a web API powered by ChatGPT
If you have jq installed you can use it to make the output look nicer.
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Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Check the jq manual!
- mkv vs mp4 metadata
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Amazon Begs Employees Not to Leak Corporate Secrets to ChatGPT
jq is your friend.
- Memes are all cool and all. But this is your daily remaining that 10000! =
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How to export/import/externally-edit/whatever WI entries?
The jq command (https://stedolan.github.io/jq/) is useful pulling that information out.
What are some alternatives?
terraform-aws-next-js - Terraform module for building and deploying Next.js apps to AWS. Supports SSR (Lambda), Static (S3) and API (Lambda) pages.
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
puppeteer - Node.js API for Chrome
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
chrome-aws-lambda-layer - 58 MB Google Chrome to fit inside AWS Lambda Layer compressed with Brotli
gojq - Pure Go implementation of jq
serverless-webpack - Serverless plugin to bundle your lambdas with Webpack
json5 - JSON5 — JSON for Humans
lambda-layer-sharp - An AWS Lambda Layer for the Sharp node module. Automatically published on updates.
jp - Validate and transform JSON with Bash
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
Jolt - JSON to JSON transformation library written in Java.