
Ollama
LM Studio
LangChain
Jan.ai
Hugging Face
GPT4All
Claude AI
AnythingLLM
CodeClimate
Codacy
SonarQube
ESLint
Coveralls
SensioLabs Insight
CodeFactor.io
Source-Navigator NG
Ollama
CodeClimateOllama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
Based on our record, Ollama seems to be a lot more popular than CodeClimate. While we know about 280 links to Ollama, we've tracked only 19 mentions of CodeClimate. 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.
Ollama lets you run open source models locally. After installing it, you have a server running at http://localhost:11434. - Source: dev.to / 4 days ago
It began as a small experiment on my base Mac mini. I pulled Qwen through Ollama just to see how capable the model would be running directly on a local machine. The results were far better than I expected. Good enough that I stopped thinking of it as a toy and started thinking about production. - Source: dev.to / 5 days ago
Try out this sample that embeds and loads data into the emulator. It uses LangChain, a popular open-source framework for building AI applications, and Ollama, a tool for running open-source models locally. - Source: dev.to / 9 days 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 / 10 days ago
I uploaded a 40-page PDF of an internal API spec, asked "what's the rate limit for the search endpoint?", and got back: "100 requests per minute per API key, with bursts up to 200. See section 4.2 of the document." With citations. In about three seconds. The whole stack runs on my laptop. It cost me $0 in LLM credits during development because Ollama is free and local, and the embedder I used is also free and... - Source: dev.to / 10 days 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
LM Studio - Discover, download, and run local LLMs
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
LangChain - Framework for building applications with LLMs through composability
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.
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.
ESLint - The fully pluggable JavaScript code quality tool