Comparison
FinGPT vs FinceptTerminal
Verdict
Pick FinGPT if finGPT is an open-source repository for financial large language models, offering trained models for applications such as sentiment analysis, technical analysis, and robo-advisory services; pick FinceptTerminal if finceptTerminal is an advanced finance application leveraging AI for analytics and investment research, offering interactive exploration methods within a user-friendly interface.
Markdown twin · FinGPT alternatives · FinceptTerminal alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | FinGPT | FinceptTerminal |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- FinGPT
- Open-Source Financial Large Language Models
- FinceptTerminal
- Modern finance application with AI-driven analytics
Stars
- FinGPT
- 21k
- FinceptTerminal
- 32k
Forks
- FinGPT
- 3.0k
- FinceptTerminal
- 4.5k
Open issues
- FinGPT
- 52
- FinceptTerminal
- 7
Language
- FinGPT
- Jupyter Notebook
- FinceptTerminal
- C++
Adopt for
- FinGPT
- FinGPT is an open-source repository for financial large language models, offering trained models for applications such as sentiment analysis, technical analysis, and robo-advisory services.
- FinceptTerminal
- FinceptTerminal is an advanced finance application leveraging AI for analytics and investment research, offering interactive exploration methods within a user-friendly interface.
Persona
- FinGPT
- -
- FinceptTerminal
- -
Runtime
- FinGPT
- -
- FinceptTerminal
- -
License
- FinGPT
- MIT License, allowing for free use, modification, and distribution of the software for both academic and commercial purposes.
- FinceptTerminal
- FinceptTerminal operates under dual licensing: AGPL-3.0 for free use in personal, academic, or open-source contexts, and a paid Commercial License for business use.
Last pushed
- FinGPT
- Sep 14, 2026
- FinceptTerminal
- Sep 19, 2026
Categories
- FinGPT
- LLM Frameworks, Model Training
- FinceptTerminal
- AI Agents
Trust and health
Days since push
- FinGPT
- 3d
- FinceptTerminal
- 0d
Open issues (now)
- FinGPT
- 52
- FinceptTerminal
- 7
Stars delta
- FinGPT
- +165 (30d)
- FinceptTerminal
- +1.4k (30d)
Open issues delta
- FinGPT
- -35 (30d)
- FinceptTerminal
- -3 (30d)
OSV dependency advisories
- FinGPT
- Published findings
- FinceptTerminal
- No lockfile (source not queried)
Full report
- FinGPT
- Trust report
- FinceptTerminal
- Trust report
Typed relationship
FinGPT FinceptTerminalFinGPT focuses on providing large language models for financial applications, whereas FinceptTerminal emphasizes a broader platform for market analytics and investment research that could potentially use models like FinGPT.
Shared compatibility
- Python · FinGPT: Python runtime · FinceptTerminal: Python runtime
Choose FinGPT if…
- FinGPT is primarily Jupyter Notebook; FinceptTerminal is C++.
- License: FinGPT is MIT, FinceptTerminal is Other.
- Requirements: Min 8 GB RAM; Dependencies can be installed via pip using the provided requirements.txt file.; Ensure you have the necessary hardware to run large language models effectively..
- FinGPT focuses on providing large language models for financial applications, whereas FinceptTerminal emphasizes a broader platform for market analytics and investment research that could potentially use models like FinGPT.
- Tags unique to FinGPT: chatgpt, large-language-models, nlp, prompt-engineering.
- Also covers LLM Frameworks, Model Training.
- When you need to integrate financial large language models into your fintech projects for tasks like sentiment analysis or technical analysis.
When NOT to use FinGPT
- If you are looking for a tool that provides real-time trading advice, as FinGPT is strictly for academic and experimental use and not for financial advice.
- When you require a proprietary solution that does not allow for open-source collaboration or modification.
- If your project requires a different framework or language, as FinGPT is based on Jupyter Notebooks and PyTorch.
Choose FinceptTerminal if…
- FinceptTerminal is primarily C++; FinGPT is Jupyter Notebook.
- License: FinceptTerminal is Other, FinGPT is MIT.
- Pricing: Requires purchase of a paid Commercial License for any business-related applications..
- Requirements: Requires Docker; Docker support is provided for CI/CD testing and development environments, but it requires Linux with X11. Use pre-built installers for the best user experience.
- FinGPT focuses on providing large language models for financial applications, whereas FinceptTerminal emphasizes a broader platform for market analytics and investment research that could potentially use models like FinGPT.
- Tags unique to FinceptTerminal: algorithmic-trading, cpp, investment-research, python.
- Also covers AI Agents.
- FinceptTerminal ships Docker support for self-hosted deployment.
- Use FinceptTerminal when you require a comprehensive toolset for market analysis, investment research, and decision-making in financial markets with a strong emphasis on data interaction.
When NOT to use FinceptTerminal
- Avoid using FinceptTerminal if your business will use the software commercially, given that a paid Commercial License is required and unauthorized use can lead to significant legal penalties.
- Not recommended for developers who intend to fork and rebrand the application without prior written permission from Fincept Corporation.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AI4Finance-Foundation/FinGPT) · observed Sep 20, 2026
- GitHub forks (AI4Finance-Foundation/FinGPT) · observed Sep 20, 2026
- Last push (AI4Finance-Foundation/FinGPT) · observed Sep 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Fincept-Corporation/FinceptTerminal) · observed Sep 20, 2026
- GitHub forks (Fincept-Corporation/FinceptTerminal) · observed Sep 20, 2026
- Last push (Fincept-Corporation/FinceptTerminal) · observed Sep 19, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FinGPT 21k · FinceptTerminal 32k (synced Sep 20, 2026).
Common questions
- What is the difference between FinGPT and FinceptTerminal?
- FinGPT: Open-Source Financial Large Language Models. FinceptTerminal: Modern finance application with AI-driven analytics. See the comparison table for live GitHub stats and shared categories.
- When should I choose FinGPT over FinceptTerminal?
- Choose FinGPT over FinceptTerminal when FinGPT is primarily Jupyter Notebook; FinceptTerminal is C++; License: FinGPT is MIT, FinceptTerminal is Other; Requirements: Min 8 GB RAM; Dependencies can be installed via pip using the provided requirements.txt file.; Ensure you have the necessary hardware to run large language models effectively.; FinGPT focuses on providing large language models for financial applications, whereas FinceptTerminal emphasizes a broader platform for market analytics and investment research that could potentially use models like FinGPT; Tags unique to FinGPT: chatgpt, large-language-models, nlp, prompt-engineering; Also covers LLM Frameworks, Model Training; When you need to integrate financial large language models into your fintech projects for tasks like sentiment analysis or technical analysis.
- When should I choose FinceptTerminal over FinGPT?
- Choose FinceptTerminal over FinGPT when FinceptTerminal is primarily C++; FinGPT is Jupyter Notebook; License: FinceptTerminal is Other, FinGPT is MIT; Pricing: Requires purchase of a paid Commercial License for any business-related applications.; Requirements: Requires Docker; Docker support is provided for CI/CD testing and development environments, but it requires Linux with X11. Use pre-built installers for the best user experience; FinGPT focuses on providing large language models for financial applications, whereas FinceptTerminal emphasizes a broader platform for market analytics and investment research that could potentially use models like FinGPT; Tags unique to FinceptTerminal: algorithmic-trading, cpp, investment-research, python; Also covers AI Agents; FinceptTerminal ships Docker support for self-hosted deployment; Use FinceptTerminal when you require a comprehensive toolset for market analysis, investment research, and decision-making in financial markets with a strong emphasis on data interaction.
- When should I avoid FinGPT?
- If you are looking for a tool that provides real-time trading advice, as FinGPT is strictly for academic and experimental use and not for financial advice. When you require a proprietary solution that does not allow for open-source collaboration or modification. If your project requires a different framework or language, as FinGPT is based on Jupyter Notebooks and PyTorch.
- When should I avoid FinceptTerminal?
- Avoid using FinceptTerminal if your business will use the software commercially, given that a paid Commercial License is required and unauthorized use can lead to significant legal penalties. Not recommended for developers who intend to fork and rebrand the application without prior written permission from Fincept Corporation.
- Is FinGPT or FinceptTerminal more popular on GitHub?
- FinceptTerminal has more GitHub stars (31,809 vs 21,265). Stars measure visibility, not whether either tool fits your constraints.
- Are FinGPT and FinceptTerminal open source?
- Yes - both are open-source projects on GitHub (FinGPT: MIT, FinceptTerminal: Other).
- Where can I find alternatives to FinGPT or FinceptTerminal?
- GraphCanon lists graph-backed alternatives at FinGPT alternatives and FinceptTerminal alternatives (FinGPT markdown twin, FinceptTerminal markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, FinGPT or FinceptTerminal?
- FinGPT: Very active. FinceptTerminal: 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 FinceptTerminal?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FinGPT trust report; FinceptTerminal trust report.