Node.js
VS Code
ExpressJS
Laravel
Django
Ruby on Rails
ASP.NET
React
LM Studio
Ollama
Jan.ai
GPT4All
AnythingLLM
ChatGPT
llama.cpp
Msty AI
Node.jsBased on our record, Node.js seems to be a lot more popular than LM Studio. While we know about 921 links to Node.js, we've tracked only 56 mentions of LM Studio. 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.
Node >= 22 or higher installed on their local development machine. - Source: dev.to / about 1 month ago
TypeScript / Node.js: Excellent for building asynchronous backend systems that must stream text data smoothly to thousands of users simultaneously. - Source: dev.to / about 2 months ago
Because Node.js operates on a single-threaded asynchronous runtime, it is inherently vulnerable to processes that hog the CPU for too long. I absolutely cringe whenever I see developers blindly copy-pasting complex regular expressions from StackOverflow without actually testing their performance impact. - Source: dev.to / about 2 months ago
This tutorial walks you through setting up a simple Docker Compose project that serves two Node web servers over HTTPS using Caddy as a reverse proxy. You will learn how to use mkcert to generate wildcard certificates and the minimal configuration needed in the Caddyfile and docker-compose.yml to get it all working. - Source: dev.to / 2 months ago
Node.js: This is required for Hardhat. You can check if your terminal has it installed by running node -v. It will show a version number, if it is already available. If not, download the LTS version from https://nodejs.org/en, install it, then reopen your terminal and recheck to confirm successful installation. - Source: dev.to / 4 months ago
A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 11 days ago
LM Studio wraps the same inference engine in a desktop application with a visual model browser, one-click downloads from Hugging Face, and a built-in chat interface. - Source: dev.to / 19 days ago
LM Studio is the reference standard for running local models. It's not really an "AI client" in the workspace sense โ it's a local inference engine with a chat UI attached. Its MLX backend on Apple Silicon is noticeably faster than Ollama for many models, especially on larger ones, though both now use MLX on Mac so the gap has narrowed over time. The built-in model browser lets you discover, download, and run... - Source: dev.to / 23 days ago
Fully offline: Point it at Ollama or LM Studio. Zero cost, nothing leaves your network. - Source: dev.to / 25 days ago
On the other side, Ollama and LM Studio wrap llama.cpp in friendlier shells. Ollama is opinionated about model storage, format, and config. LM Studio is GUI-first and not terminal native. Both pay a real performance cost compared to raw llama-server, and both hide the underlying primitives that I actually like working with. - Source: dev.to / about 1 month ago
VS Code - Build and debug modern web and cloud applications, by Microsoft
Ollama - The easiest way to run large language models locally
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Jan.ai - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAIโs GPT-4 or Groq.
Laravel - A PHP Framework For Web Artisans
GPT4All - A powerful assistant chatbot that you can run on your laptop