# AiPy vs Jan AiPy records 68 monthly visits with -96.2% month-over-month growth and Free pricing. Jan records 291,894 monthly visits with -9.6% growth and Free pricing. | Metric | [AiPy](https://openaitools.app/tool/aipy) | [Jan](https://openaitools.app/tool/jan) | | :--- | :--- | :--- | | Website URL | https://www.aipy.app | https://jan.ai | | Categories | AI Assistant, AI Agent, AI Code Generator, Large Language Models (LLMs) | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | | Pricing Model | Free | Free | | Monthly Visits | 68 | 291,894 | | MoM Growth Rate | -96.2% | -9.6% | | Primary Market | Japan | United States | | Direct Visits | 25 | 105,615 | | Review Score | 4.3 | 4.6 | | Saved Count | 0 | 6 | | Supported Platforms | Website | Website | ## AiPy AiPy positions itself as a 'super AI assistant' for the desktop. Released in April 2025 by the team behind the Trustoken GitHub project, it targets users who want automation without writing code. You type or speak a goal — 'analyze this million-row CSV', 'build me a Tetris game', 'check this contract for risky clauses' — and AiPy converts it into an execution plan, generates the needed Python or Node.js code, runs it locally, and reports back, often with charts, documents or finished files. What separates AiPy from chat-only assistants is the execution layer. It can read and write local files, query local databases, drive a browser for scraping, control network printers, and produce Word, PowerPoint, PDF, audio and video output. AiPy supports Windows, macOS and Linux, including domestic Chinese 'Xinchuang' operating systems, and ships builds for both Apple Silicon and Intel hardware. The project emphasizes security, with sandboxed permissions, secondary confirmation for sensitive actions, recycle-bin deletion protection, an audit log, workspace isolation and one-click local backup/restore. AiPy is open source and free to download, and its site includes a comparison chart against Manus, Claude Code and OpenClaw that stresses local installation, non-technical usability and local file/device control. **Pricing & Plans:** Free to download and use. The official site distributes desktop installers for Windows, macOS and Linux at no listed cost; AiPy is an open-source project, so there is no advertised subscription on the main page. - **Natural language to executable code:** Describe a task in plain language and AiPy plans it, writes the required Python or Node.js code, runs it locally and shows the result. - **Local data analysis at scale:** Point it at large or messy datasets — the site cites million-row unstructured files — and it cleans, analyzes and visualizes them into chart-rich reports. - **Office and media output:** Generates Word, PowerPoint and PDF documents, plus audio and video files, with consistent formatting across batches of documents. - **Browser and device control:** Can drive a local browser for web scraping and pagination, and control LAN devices such as network printers. - **Sandboxed security model:** Fine-grained sandbox permissions, approval for bulk deletions, encrypted communication, audit logs and workspace isolation keep automated actions contained. **Strengths:** Runs tasks locally instead of only chatting, producing usable files and results; Open source and free to download across Windows, macOS and Linux; Strong security posture: sandbox, delete protection, audit logs and workspace isolation; Handles non-technical users well, with voice input and Chinese-language support **Limitations:** Desktop installation and local execution add setup overhead versus a browser tool; The scope varies by model and task, so complex automations may still need review; Documentation and community material on the English site are comparatively thin [Profile (Markdown)](https://openaitools.app/tool/aipy.md) ## Jan Jan is a desktop application that positions itself as an open replacement for ChatGPT, with the key difference that inference happens on hardware you control. After installing the app you pick a model, and Jan downloads and runs it locally, so prompts, chat history, and files stay on your machine rather than on someone else's server. For heavier workloads you can connect an OpenAI, Anthropic, Gemini, or Mistral key and route requests to the cloud while keeping the same chat interface and local history. The project is developed in the open by Menlo Research and has accumulated tens of thousands of GitHub stars along with millions of downloads. It exposes OpenAI-compatible local endpoints, which means existing tooling and SDKs can point at Jan instead of a hosted service, and it supports custom assistants with their own instructions and model choices. Recent releases have added an agent surface alongside the classic desktop chat, and a memory feature is announced as coming to carry context and preferences between sessions. Because it is open source, Jan can be audited, self-built, and extended, and there is no paid tier gating the desktop client. The practical tradeoff is that local model quality and speed depend entirely on your own GPU or CPU, so lighter machines will favor smaller quantized models while cloud keys remain the escape hatch for harder tasks. **Pricing & Plans:** Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. - **Local-first inference:** Download and run open models such as Llama, Mistral, Qwen, Gemma, and DeepSeek directly on your own machine, with chat data kept on device. - **Bring your own cloud models:** Optionally connect API keys for OpenAI, Anthropic, Gemini, Mistral, and other providers to route requests to frontier models from the same interface. - **OpenAI-compatible local API:** Jan exposes a local server endpoint that follows the OpenAI API shape, so existing SDKs and tools can talk to your local models without code changes. - **Custom assistants:** Create assistants with their own system instructions, model selection, and parameters, then reuse them across conversations. - **Open source and extensible:** The full desktop client and agent code are public on GitHub, so you can audit behavior, build your own version, and contribute improvements. **Strengths:** Completely free and open source, with no account required to run local models; Conversation data stays on your device by default; Works across macOS, Windows, and Linux with an OpenAI-compatible local endpoint; Optional cloud key support lets you mix local and frontier models in one app **Limitations:** Local model quality and speed are capped by your own hardware; Very large models may need substantial RAM or VRAM to be practical; Some cloud-connected and memory features are newer or still rolling out [Profile (Markdown)](https://openaitools.app/tool/jan.md) ## Frequently Asked Questions ### How do AiPy and Jan compare in monthly traffic? AiPy has 68 monthly visits, while Jan has 291,894. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? AiPy has a month-over-month growth rate of -96.2%; Jan has -9.6%. ### How does pricing compare? AiPy: Free. Free to download and use. The official site distributes desktop installers for Windows, macOS and Linux at no listed cost; AiPy is an open-source project, so there is no advertised subscription on the main page. Jan: Free. Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) | | 2 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) | | 3 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general-purpose AI agent that executes tasks, not just answers them | [.md](https://openaitools.app/tool/manus.md) | | 4 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Provides a lightweight command-line runtime for local LLMs, though it lacks Jan's built-in graphical user interface. | [.md](https://openaitools.app/tool/ollama.md) | | 5 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) | | 6 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) | | 7 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Offers a powerful self-hosted web interface for local models, but requires manual Docker setup rather than desktop installation. | [.md](https://openaitools.app/tool/open-webui.md) | | 8 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Specializes in document chat and local RAG workflows, though less focused on general-purpose model tinkering than Jan. | [.md](https://openaitools.app/tool/anythingllm.md) | | 9 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) | | 10 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Unites multiple AI providers in a customizable open-source platform, but is typically deployed as a web server. | [.md](https://openaitools.app/tool/librechat.md) | --- Source: https://openaitools.app/compare/aipy-vs-jan More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)