server-side-rendering-with-cra-on-netlify
laf
server-side-rendering-with-cra-on-netlify | laf | |
---|---|---|
2 | 2 | |
1 | 6,882 | |
- | 3.3% | |
10.0 | 9.7 | |
over 1 year ago | 7 days ago | |
TypeScript | TypeScript | |
- | Apache License 2.0 |
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.
server-side-rendering-with-cra-on-netlify
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Transpile Webpack Plugin - transpiles input files into output files individually without bundling together
By the way, in case it's used for SSR, here is a guide document: Server-side rendering for any React app on any FaaS provider
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Server-side rendering for any React app on any FaaS provider
Finally, following the guide Import from an existing repository in the Netlify docs, the demo app is deployed. The final codebase of the demo app is in the GitHub repo licg9999/server-side-rendering-with-cra-on-netlify. And its url after the deployment is https://bucolic-sprinkles-002beb.netlify.app/. The SSR can be verified by visiting the path / or /zxcv, which is also doable by using curl:
laf
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ChatGPT AI generation function in LAF
LAF (https://github.com/labring/laf) now supports ChatGPT AI generation function, providing a seamless and efficient way for developers to deploy and scale AI applications on Alibaba Cloud Function Compute. With this new feature, developers can easily leverage the power of ChatGPT to generate high-quality text content and integrate it with their own applications.
Using LAF and ChatGPT, developers can quickly build and deploy AI applications, such as chatbots, recommendation systems, and content generators, without having to worry about infrastructure or scaling issues. With the automatic scaling capabilities of Function Compute, developers can focus on building the AI models and let LAF take care of the deployment and scaling aspects.
In addition, LAF provides a secure and reliable environment for AI application development, with features such as access control, logging, and exception handling. This ensures that your AI applications are always available and performing at their best.
Overall, the support of ChatGPT in LAF brings a new level of efficiency and scalability to AI application development, making it easier than ever before to build and deploy high-quality AI applications
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WeChat is raising prices maliciously, affecting millions of developers
So open source is a big trend, and Tencent Cloud developed open source alternatives https://github.com/labring/laf also because of this incident
What are some alternatives?
VaaS - Modular Kubernetes Management System with OpenFaaS Support
supabase - The open source Firebase alternative.
ssr-react-monorepo-example - Example for React Server-Side Rendering (SSR) without any framework inside monorepo with Typescript and tests
examples - Infrastructure, containers, and serverless apps to AWS, Azure, GCP, and Kubernetes... all deployed with Pulumi
transpile-webpack-plugin - Transpiles input files into output files individually without bundling together
supabase-java - A Java client for Supabase
webpack-node-externals - Easily exclude node modules in Webpack
self-workerd - Self-host your own FaaS with workerd, the Cloudflare javascript runtime
supa-manager - Manage self-hosted Supabase instances with an easy to use API & Web Portal (soon)
firebase-web-authn - A Firebase Extension for authentication with WebAuthn passkeys. Hire the developer: /in/gavinsawyer-dev.
react-starter-kit - The web's most popular Jamstack front-end template (boilerplate) for building web applications with React