Top 25 AI 프레임워크

자주 묻는 질문

• What is the #1 in AI 프레임워크 right now?

  LangChain currently holds the #1 spot, with a ToolRank score of 72/100 — measured across real-world prominence, web traction, audience, authority and adoption.

• How are these rankings calculated?

  Rankings are computed by ToolRank, ToolPotion’s proprietary engine. It evaluates hundreds of signals across the open web — traffic, audience, community, authority, adoption and engagement — processing millions of data points, with a model tailored to each AI type. Placement cannot be bought.

• What is ToolRank?

  ToolRank is a single 0–100 score that blends a tool’s real-world prominence — whether it’s a genuine, widely-used product — with its measured traction: web traffic, domain authority, social audience, developer adoption and engagement, each ranked against its peers. Every board is ordered by ToolRank, and placement cannot be bought.

• How often do the rankings update?

  ToolRank re-measures the market and refreshes every leaderboard monthly. Movement arrows show each tool’s change since the previous measurement.

• Which AI framework should I learn first?

  PyTorch is the safest bet on this board for deep learning, since most research and production work uses it and the documentation is thorough. If your work is classic machine learning rather than neural networks, start with scikit-learn instead.

• What framework is best for running models on a phone?

  For mobile, ML Kit is a free SDK that brings Google's ML into Android and iOS apps. On Apple devices, Core ML integrates models directly into apps and MLX is an array framework built specifically for Apple silicon.

• How do I work with pretrained models?

  Hugging Face Transformers centralizes model definitions across text and vision, which makes it the natural choice for pretrained work. If you need reinforcement-learning training on top of transformers, TRL integrates with it directly for that step.