Best Open Source AI 2025

Based on monthly keyword-search data

🏆 Our Pick: Deepmind

22K monthly searches
+6% 3-Month Growth

DeepMind releases open-source AI libraries and models to accelerate research

Featured Open Source AI 2025
Rank Product Monthly VolumeVol 3-Month GrowthGrowth
1 Qwen3 Qwen3 delivers open-source LLMs to fine-tune, self-host, and integrate at scale 20.8K +122%
  Qwen3 delivers open-source LLMs to fine-tune, self-host, and integrate at scale
2 DeepSeek Open-source LLMs from DeepSeek integrate easily to accelerate AI development 1.2M -57%
  Open-source LLMs from DeepSeek integrate easily to accelerate AI development
3 LangChain LangChain open-source framework integrates LLMs, tools, and memory to ship AI apps 75.7K +7%
  LangChain open-source framework integrates LLMs, tools, and memory to ship AI apps
4 Hugging Face Open-source AI thrives on Hugging Face, hosting models, datasets, and community tools 110.0K -6%
  Open-source AI thrives on Hugging Face, hosting models, datasets, and community tools
5 Novel Novel accelerates AI editor builds with open-source Notion-style components and docs 74.0K +0%
  Novel accelerates AI editor builds with open-source Notion-style components and docs
Top 5 Open Source AI by Monthly Volume
Rank Product Monthly VolumeVol 3-Month GrowthGrowth
1 DeepSeek Open-source LLMs from DeepSeek integrate easily to accelerate AI development 1.2M -57%
  Open-source LLMs from DeepSeek integrate easily to accelerate AI development
2 Hugging Face Open-source AI thrives on Hugging Face, hosting models, datasets, and community tools 110.0K -6%
  Open-source AI thrives on Hugging Face, hosting models, datasets, and community tools
3 LangChain LangChain open-source framework integrates LLMs, tools, and memory to ship AI apps 75.7K +7%
  LangChain open-source framework integrates LLMs, tools, and memory to ship AI apps
4 Novel Novel accelerates AI editor builds with open-source Notion-style components and docs 74.0K +0%
  Novel accelerates AI editor builds with open-source Notion-style components and docs
5 Stable Diffusion Open-source Stable Diffusion lets you integrate, fine-tune, and deploy custom image apps. 74.0K -18%
  Open-source Stable Diffusion lets you integrate, fine-tune, and deploy custom image apps.
Top 5 Open Source AI by 3‑Month Growth
Rank Product Monthly VolumeVol 3-Month GrowthGrowth
1 Qwen3 Qwen3 delivers open-source LLMs to fine-tune, self-host, and integrate at scale 20.8K +122%
  Qwen3 delivers open-source LLMs to fine-tune, self-host, and integrate at scale
2 Qdrant Open-source Qdrant integrates easily, enabling fast vector search in AI pipelines 8.7K +23%
  Open-source Qdrant integrates easily, enabling fast vector search in AI pipelines
3 MLflow MLflow accelerates ML lifecycle with open-source tracking, models, registry, and deployment. 12.7K +15%
  MLflow accelerates ML lifecycle with open-source tracking, models, registry, and deployment.
4 LangChain LangChain open-source framework integrates LLMs, tools, and memory to ship AI apps 75.7K +7%
  LangChain open-source framework integrates LLMs, tools, and memory to ship AI apps
5 Langfuse Langfuse open-source LLM observability: trace, evaluate, and optimize apps easily. 12.4K +7%
  Langfuse open-source LLM observability: trace, evaluate, and optimize apps easily.

Methodology

  • Analysis periods: Monthly to 3‑month timelines for trend tracking
  • Ranking factors: Search volume, growth rate, keyword relevance
  • Validation process: Cross‑checking metrics across multiple sources
  • Quality assurance: Multi‑source verification for accuracy
  • Update frequency: Daily refresh at 00:00 UTC

Sources

  • Google Analytics: Primary keyword data collection
  • Google Trends: Search volume and trend analysis
  • Google Keyword Planner: Search metrics validation
  • Third‑party analytics: Additional verification platforms

Frequently Asked Questions

Will AI take my job?

AI is likely to replace jobs that do not require human elements such as empathy or creativity (such as a therapist or an artist). However, commercial AI adoption and job displacement will not happen as fast as many believe. Most people won't notice a change for at least 2-3 years, with a major economic shift happing over the next decade. This means you have time to adapt, ideally learning to use AI to your advantage in order to remain productive.

How does AI actually work?

Most models learn patterns from data rather than "understanding" like humans. For example, AI has learned that when it sees: "Think outside the..." it will have learned to predict the next word to be "box". As technology advances, and more data centers are built, AI will continuously improve on its pattern recognition skills.

Can I trust AI answers? What about bias and hallucinations?

You can trust AI answers like you trust a human's answers — with the understanding that even humans with the best intentions can be wrong sometimes. However, as AI technology advances, these mistakes will become less frequent, eventually to the point of near perfection.

Is my data safe when I use AI tools?

Your data is stored on the server of whichever company's product you are using, unless you are running an open-source AI model on your personal computer. "Safe" can be an objective term, depending how much you trust that company to protect your data.

Is AI sentient or close to AGI?

Not yet, but most experts agree that AGI is only a matter of time. Some believe AGI, a term used to mark the moment in which artificial intelligence surpasses human intelligence, will be achieved in as few as 2-3 years, while other say 5-10 years.

Related Categories

Ai Agent Builders • Ai For Coding • Backend Platforms • Business Intelligence Platforms • Cdn Providers

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