LM Studio
Ollama
Jan.ai
GPT4All
AnythingLLM
ChatGPT
llama.cpp
Msty AI
CodeClimate
Codacy
SonarQube
ESLint
Coveralls
SensioLabs Insight
CodeFactor.io
Source-Navigator NG
LM Studio CodeClimateBased on our record, LM Studio should be more popular than CodeClimate. It has been mentiond 56 times since March 2021. 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.
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
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / about 2 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / about 2 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 9 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / about 1 year ago
Ollama - The easiest way to run large language models locally
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
GPT4All - A powerful assistant chatbot that you can run on your laptop
ESLint - The fully pluggable JavaScript code quality tool