--- title: "FinGPT vs FinRobot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai4finance-foundation-fingpt-vs-ai4finance-foundation-finrobot" tools: ["ai4finance-foundation-fingpt", "ai4finance-foundation-finrobot"] --- # FinGPT vs FinRobot Neutral, constraint-first comparison with live GitHub stats. | | [FinGPT](/tools/ai4finance-foundation-fingpt.md) | [FinRobot](/tools/ai4finance-foundation-finrobot.md) | | --- | --- | --- | | Tagline | FinGPT: Open-Source Financial Large Language Models | FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs | | Stars | 20,819 | 7,507 | | Forks | 2,958 | 1,268 | | Open issues | 98 | 73 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | FinGPT is an open-source project that provides financial large language models for forecasting, sentiment analysis, and robo-advisory services, available via Jupyter Notebook under the MIT license. | An open-source AI agent platform using LLMs for financial analysis. | | Persona | - | - | | Runtime | - | - | | License | MIT license allows for both commercial and private use with the requirement to preserve attribution but does not guarantee the software or impose liability for its performance. | Apache-2.0 license allows for free use and modification, which can be highly beneficial in a collaborative environment or for internal development projects where flexibility to modify the source code. | | Categories | Data & Retrieval, LLM Frameworks | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FinGPT](/tools/ai4finance-foundation-fingpt.md) | [FinRobot](/tools/ai4finance-foundation-finrobot.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 37d | 1d | | Open issues (now) | 98 | 73 | | Security scan | 8 low (8 low) | 112 low (112 low) | | Full report | [trust report](/tools/ai4finance-foundation-fingpt/trust.md) | [trust report](/tools/ai4finance-foundation-finrobot/trust.md) | **Typed relationship:** FinGPT _(alternative)_ FinRobot Both FinGPT and ai4finance-foundation/FinRobot use large language models (LLMs) for financial analysis, but they are distinct tools aimed at similar goals in fintech. ## Decision facts: FinGPT - **Requirements:** Min 16 GB RAM; Requires knowledge of PyTorch framework for development - **Adopt for:** FinGPT is an open-source project that provides financial large language models for forecasting, sentiment analysis, and robo-advisory services, available via Jupyter Notebook under the MIT license. - **License detail:** MIT license allows for both commercial and private use with the requirement to preserve attribution but does not guarantee the software or impose liability for its performance. ## Decision facts: FinRobot - **Hosting:** self hosted - Requires self-hosting with specific configurations based on your OS and financial API keys. - **Pricing:** freemium - **Adopt for:** An open-source AI agent platform using LLMs for financial analysis. - **License detail:** Apache-2.0 license allows for free use and modification, which can be highly beneficial in a collaborative environment or for internal development projects where flexibility to modify the source code. ## Choose when ### Choose FinGPT if… - License: FinGPT is MIT, FinRobot is Apache-2.0. - Requirements: Min 16 GB RAM; Requires knowledge of PyTorch framework for development. - Both FinGPT and ai4finance-foundation/FinRobot use large language models (LLMs) for financial analysis, but they are distinct tools aimed at similar goals in fintech. - Tags unique to FinGPT: reinforcement-learning, nlp, fintech, pytorch. - Also covers Data & Retrieval, LLM Frameworks. - When you need to implement or test advanced financial applications like sentiment analysis or forecasting in a fully transparent environment. ### Choose FinRobot if… - License: FinRobot is Apache-2.0, FinGPT is MIT. - Requires self-hosting with specific configurations based on your OS and financial API keys. - Both FinGPT and ai4finance-foundation/FinRobot use large language models (LLMs) for financial analysis, but they are distinct tools aimed at similar goals in fintech. - Tags unique to FinRobot: aiagent, fingpt, chatgpt, multimodal-deep-learning. - Also covers AI Agents, Model Training. - FinRobot ships Docker support for self-hosted deployment. - When you need a versatile, open-source solution for integrating LLM-based financial analysis into your existing workflows through an interactive agent interface. ## When NOT to use FinGPT - If proprietary or heavily regulated financial data is critical and must remain within a controlled environment, as open-source projects like FinGPT may expose sensitive information. - When seeking out-of-the-box solutions without customization; FinGPT requires hands-on development skills in financial language models using Jupyter Notebook and PyTorch. ## When NOT to use FinRobot - If immediate integration in a Microsoft Windows or Linux environment is necessary without extensive configuration, as the instructions provided seem more focused on macOS users. - When you are looking for a platform that does not require external API keys for services like OpenAI and Finnhub-API; configuring these may add complexity to your setup process. - If a polished, user-friendly GUI is essential. The open-source nature of FinRobot means the interface might be more suited towards technical users comfortable with command-line operations. ## Common questions ### What is the difference between FinGPT and FinRobot? FinGPT: FinGPT: Open-Source Financial Large Language Models. FinRobot: FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose FinGPT over FinRobot? Choose FinGPT over FinRobot when License: FinGPT is MIT, FinRobot is Apache-2.0; Requirements: Min 16 GB RAM; Requires knowledge of PyTorch framework for development; Both FinGPT and ai4finance-foundation/FinRobot use large language models (LLMs) for financial analysis, but they are distinct tools aimed at similar goals in fintech; Tags unique to FinGPT: reinforcement-learning, nlp, fintech, pytorch; Also covers Data & Retrieval, LLM Frameworks; When you need to implement or test advanced financial applications like sentiment analysis or forecasting in a fully transparent environment. ### When should I choose FinRobot over FinGPT? Choose FinRobot over FinGPT when License: FinRobot is Apache-2.0, FinGPT is MIT; Requires self-hosting with specific configurations based on your OS and financial API keys; Both FinGPT and ai4finance-foundation/FinRobot use large language models (LLMs) for financial analysis, but they are distinct tools aimed at similar goals in fintech; Tags unique to FinRobot: aiagent, fingpt, chatgpt, multimodal-deep-learning; Also covers AI Agents, Model Training; FinRobot ships Docker support for self-hosted deployment; When you need a versatile, open-source solution for integrating LLM-based financial analysis into your existing workflows through an interactive agent interface. ### When should I avoid FinGPT? If proprietary or heavily regulated financial data is critical and must remain within a controlled environment, as open-source projects like FinGPT may expose sensitive information. When seeking out-of-the-box solutions without customization; FinGPT requires hands-on development skills in financial language models using Jupyter Notebook and PyTorch. ### When should I avoid FinRobot? If immediate integration in a Microsoft Windows or Linux environment is necessary without extensive configuration, as the instructions provided seem more focused on macOS users. When you are looking for a platform that does not require external API keys for services like OpenAI and Finnhub-API; configuring these may add complexity to your setup process. If a polished, user-friendly GUI is essential. The open-source nature of FinRobot means the interface might be more suited towards technical users comfortable with command-line operations. ### Is FinGPT or FinRobot more popular on GitHub? FinGPT has more GitHub stars (20,819 vs 7,507). Stars measure visibility, not whether either tool fits your constraints. ### Are FinGPT and FinRobot open source? Yes - both are open-source projects on GitHub (FinGPT: MIT, FinRobot: Apache-2.0). ### Where can I find alternatives to FinGPT or FinRobot? GraphCanon lists graph-backed alternatives at /tools/ai4finance-foundation-fingpt/alternatives and /tools/ai4finance-foundation-finrobot/alternatives (/tools/ai4finance-foundation-fingpt/alternatives.md, /tools/ai4finance-foundation-finrobot/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/ai4finance-foundation-fingpt-vs-ai4finance-foundation-finrobot.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FinGPT or FinRobot? FinGPT: Steady. FinRobot: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for FinGPT and FinRobot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FinGPT: /tools/ai4finance-foundation-fingpt/trust; FinRobot: /tools/ai4finance-foundation-finrobot/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai4finance-foundation-fingpt`](/api/graphcanon/graph?tool=ai4finance-foundation-fingpt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_