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Comparison

FinGPT vs FinRobot

FinGPT (FinGPT: Open-Source Financial Large Language Models) vs FinRobot (FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · FinGPT alternatives · FinRobot alternatives

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FinGPT

AI4Finance-Foundation/FinGPT

★ 21kpushed Jun 1, 2026

FinRobot

AI4Finance-Foundation/FinRobot

★ 7.5kpushed Jul 7, 2026

Tagline

FinGPT: FinGPT: Open-Source Financial Large Language Models
FinRobot: FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs

Stars

FinGPT: 21k
FinRobot: 7.5k

Forks

FinGPT: 3.0k
FinRobot: 1.3k

Open issues

FinGPT: 98
FinRobot: 73

Language

FinGPT: Jupyter Notebook
FinRobot: Jupyter Notebook

Adopt for

FinGPT: 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.
FinRobot: An open-source AI agent platform using LLMs for financial analysis.

Persona

FinGPT: -
FinRobot: -

Runtime

FinGPT: -
FinRobot: -

License

FinGPT: 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.
FinRobot: 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.

Last pushed

FinGPT: Jun 1, 2026
FinRobot: Jul 7, 2026

	FinGPT	FinRobot
Tagline	FinGPT: Open-Source Financial Large Language Models	FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs
Stars	21k	7.5k
Forks	3.0k	1.3k
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.
Last pushed	Jun 1, 2026	Jul 7, 2026
Categories	Data & Retrieval, LLM Frameworks	AI Agents, Model Training
Trust and health
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	Trust report
Typed relationship	FinGPT alternative FinRobotBoth FinGPT and ai4finance-foundation/FinRobot use large language models (LLMs) for financial analysis, but they are distinct tools aimed at similar goals in fintech.

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.

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.

GitHub Details

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 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.

GitHub Details

Explore

FinGPT trust report →FinRobot trust report →Data & Retrieval category →LLM Frameworks category →AI Agents category →Model Training category →All comparisons Stack workflows Trending tools

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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.