Deep Java Library

Deep Java Library (DJL) is an open-source, high-performance deep learning framework designed specifically for the Java ecosystem. It enables Java developers to build, train, and deploy machine learning models using intuitive APIs while remaining engine-agnostic, supporting backends such as PyTorch, TensorFlow, and MXNet. The library facilitates seamless integration of Python-based ML workflows into Java/Scala production environments, offering optimized inference capabilities across various cloud and on-premise deployments.

LLM mention score

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.

Get Free API Credits API Documentation

How to get LLM mention data →

// Fetch Deep Java Library mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "Deep Java Library",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]