wasmedge-quickjs
github-pr-summary
wasmedge-quickjs | github-pr-summary | |
---|---|---|
11 | 8 | |
448 | 204 | |
1.1% | 1.0% | |
7.6 | 7.7 | |
3 months ago | 9 months ago | |
JavaScript | Rust | |
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.
wasmedge-quickjs
-
Spin 2.0 – open-source tool for building and running WASM apps
I'm impressed you're already leveraging the component model. I thought it wasn't quite ready for primetime yet, but it seems you're proving that wrong... I'll have to dig in more here, as I'm working embedding WebAssembly in a high performance storage engine.
Thanks for the notes! I hear you on QuickJS - I've seen approaches of folks trying to build more node compatibility on top of quickjs (ala https://github.com/second-state/wasmedge-quickjs), but have recently heard about spidermonkey in wasmtime. Do you have intuition for nodejs vs browser in terms of what people want in terms of compatibility?
-
Node on Web. Use Nodejs freely in your browser with Linux infrastructure.
"A high-performance, secure, extensible, and OCI-complaint JavaScript runtime for WasmEdge. Run JavaScript in WebAssembly" wasm-edge-quickjs
-
ChatGPT-powered code review bot to boost your PR merge. Deploy in 5 mins
See potential problems #1 for its proposed changes https://github.com/second-state/wasmedge-quickjs/pull/82#iss...
-
Flows.network: Add eyes, ears, memory& hands to LLMs with serverless functions
https://github.com/second-state/wasmedge-quickjs/pull/82#iss...
Try the bot on a PR you're interested in:
-
How to compile serveTls for import into QuickJS?
I can conceptualize a way to convert JavaScript source code to WASM then convert WASM to C source code. I have considered just using WASM, however, that introduces yet another runtime to manage https://github.com/second-state/wasmedge-quickjs.
-
How to import prompt()?
Technically you can create a C shared object and import that shared object into QuickJS, see https://github.com/rsenn/qjs-modules, also https://github.com/second-state/wasmedge-quickjs.
-
Use SSH in browser
That was achieved with QuickJS here https://bellard.org/jslinux/vm.html?url=alpine-x86.cfg, and here https://github.com/second-state/wasmedge-quickjs.
-
Easier examples for the WasmEdge Rust SDK to get started with this Wasm runtime quickly.
WasmEdge provides excellent support for JavaScript, including ES6 and NPM modules, async networking, the fetch API, React SSR, and even mixing Rust code with JS code. https://github.com/second-state/wasmedge-quickjs
- GitHub - second-state/wasmedge-quickjs: A high-performance, secure, extensible, and OCI-complaint JavaScript runtime for WasmEdge.
- High-performance secure extensible OCI-complaint JavaScript runtime for WasmEdge
github-pr-summary
-
Rust boosts LLM app development: Make a serverless Japanese Learning bot in mins
Excited to share my journey in creating a Telegram bot that learns Japanese and answers Q&As, all thanks to https://flows.network/ built in Rust
-
Ask HN: Prompt Manager for Developers
Maybe you can try https://flows.network/, which supports environment variables when creating an app. You can also manage the environment variables later with their UI. Click on https://flows.network/flow/createByTemplate/Telegram-ChatGPT, you can see you could set up system_prompt.
-
Launch HN: Sweep (YC S23) – A bot to create simple PRs in your codebase
I'm wondering what will happen if we let ChatGPT review these PRs created by ChatGPT.
Yes, We made a small tool to help developer review their PR. Seems a great supplement for Sweep AI.
Build your own PR review bot in 3 minutes here: https://github.com/flows-network/github-pr-summary
- Flows.network: Add eyes, ears, memory& hands to LLMs with serverless functions
- Create your own ChatGPT bot (in Rust) to review & summarize GitHub Pull Request.
- Create and deploy your own ChatGPT bot to review & summarize GitHub Pull Request.
- Rust API for OpenAI workflows. Enable ChatGPT on your own GitHub repo to review & summarize Pull Request.
- A ChatGPT Bot (in Rust) to Review and Summarize GitHub Pull Request
What are some alternatives?
aws-lambda-wasm-runtime - A template project for building high-performance, portable, and safe serverless functions in AWS Lambda.
sweep - Sweep: open-source AI-powered Software Developer for small features and bug fixes.
stdweb - A standard library for the client-side Web
sweep-ai
rustwasmc - Tool for building Rust functions for Node.js. Combine the performance of Rust, safety and portability of WebAssembly, and ease of use of JavaScript.
review-any-pr-with-chatgpt - GPT4-based code review for ANY public Pull Request on GitHub
dapr-wasm - A template project to demonstrate how to run WebAssembly functions as sidecar microservices in dapr
PromptPal - A Prompt Manager that focuses on On-Premise and developer experience.
SSVM - WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
landing-page
tencent-scf-wasm-runtime - 基于 WebAssembly 容器镜像的高性能腾讯云函数开发模版。A template project for building high-performance, portable, and safe serverless functions in Tencent Serverless Cloud Functions.
schemalint - Lint database schemas