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  1. DeepSeek-R1

    Benchmarks of reasoning models. Source

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  3. openai-python

    The official Python library for the OpenAI API

    The API itself is pretty straightforward. You can use it with the OpenAI package on NPM or PIP, or make an HTTP Request. Note for this demo I will be using NodeJS. I will be working in an empty folder with an index.js file, and a package.json file.

  4. DeepSeek-V3

    Typically, training parts of an AI model usually meant updating the whole thing, even if some parts didn't contribute anything, which lead to a massive waste of resources. To solve this, they introduced an Auxiliary-Loss-Free (ALS) Load Balancing. The ALS Load Balancing works by introducing a bias factor to prevent overloading one chip, while under-utilizing another (Source). This resulted in only 5% of the model's parameters being trained per-token, and around 91% cheaper cost to train than GPT 4 (GPT 4 costed $63 million to train (Source) and V3 costed $5.576 million to train. (Source))

  5. ollama

    Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.

    Download Ollama

  6. marked

    A markdown parser and compiler. Built for speed.

    If you are trying to render this in the browser, we can use the marked library in order to convert the markdown into HTML code.

  7. DeepSeek-LLM

    DeepSeek LLM: Let there be answers

    You can use DeepSeek V3 and R1 for free on their official website.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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the 2nd most popular programming language
based on number of references?