Comparison
FinGPT vs awesome-llm-webapps
Verdict
Pick FinGPT if finGPT is an open-source financial large language model designed specifically for the fintech sector, offering NLP capabilities via Jupyter Notebooks and PyTorch; pick awesome-llm-webapps if awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical.
Markdown twin · FinGPT alternatives · awesome-llm-webapps alternatives
GraphCanon updated 4d
Trust & integrity
| Signal | FinGPT | awesome-llm-webapps |
|---|---|---|
| Maintenance | Active (14d since push) As of 4d · github_public_v1 | Dormant (403d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- FinGPT: Open-Source Financial Large Language Models
- awesome-llm-webapps
- A collection of open source, actively maintained web apps for LLM applications
Stars
- FinGPT
- 21k
- awesome-llm-webapps
- 720
Forks
- FinGPT
- 3.0k
- awesome-llm-webapps
- 37
Open issues
- FinGPT
- 87
- awesome-llm-webapps
- 13
Language
- FinGPT
- Jupyter Notebook
- awesome-llm-webapps
- -
Adopt for
- FinGPT
- FinGPT is an open-source financial large language model designed specifically for the fintech sector, offering NLP capabilities via Jupyter Notebooks and PyTorch.
- awesome-llm-webapps
- awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical
Persona
- FinGPT
- -
- awesome-llm-webapps
- -
Runtime
- FinGPT
- -
- awesome-llm-webapps
- -
License
- FinGPT
- MIT License: Permission is granted free of charge for use, modification, and distribution under the terms that all copyright notices and permission notices are included.
- awesome-llm-webapps
- MIT
Last pushed
- FinGPT
- Aug 2, 2026
- awesome-llm-webapps
- Jun 29, 2025
Categories
- FinGPT
- Evaluation & Observability, LLM Frameworks
- awesome-llm-webapps
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- FinGPT
- Active (82%)
- awesome-llm-webapps
- Dormant (18%)
Days since push
- FinGPT
- 14d
- awesome-llm-webapps
- 403d
Open issues (now)
- FinGPT
- 87
- awesome-llm-webapps
- 13
Stars delta
- FinGPT
- +205 (30d)
- awesome-llm-webapps
- Unknown
Open issues delta
- FinGPT
- -9 (30d)
- awesome-llm-webapps
- Unknown
OSV dependency advisories
- FinGPT
- Published findings
- awesome-llm-webapps
- No lockfile (source not queried)
Full report
- FinGPT
- Trust report
- awesome-llm-webapps
- Trust report
Shared compatibility
- Python · FinGPT: Python runtime · awesome-llm-webapps: Python runtime
Choose FinGPT if…
- Requirements: - Detailed setup instructions available in SETUP.md.; - Hardware requirements specified in the comprehensive guide..
- Tags unique to FinGPT: chatgpt, finance, fintech, large language models.
- Also covers Evaluation & Observability.
- - You're working on a project that requires specific financial sentiment analysis or technical analysis.
When NOT to use FinGPT
- - If your project does not require advanced financial-specific NLP capabilities and can suffice with generalized models like those provided in other frameworks.
- - When the necessity of integrating sentiment analysis or technical analysis is low relative to more general language tasks.
Choose awesome-llm-webapps if…
- Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms..
- Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems.
- Also covers Inference & Serving.
- - When you need to start an LLM project quickly with a high-quality base application.
When NOT to use awesome-llm-webapps
- - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository.
- - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods).
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 Aug 17, 2026
- GitHub forks (AI4Finance-Foundation/FinGPT) · observed Aug 17, 2026
- Last push (AI4Finance-Foundation/FinGPT) · observed Aug 2, 2026
- License file (MIT) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (icefort-ai/awesome-llm-webapps) · observed Aug 6, 2026
- GitHub forks (icefort-ai/awesome-llm-webapps) · observed Aug 6, 2026
- Last push (icefort-ai/awesome-llm-webapps) · observed Jun 29, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FinGPT 21k · awesome-llm-webapps 720 (synced Aug 17, 2026).
Common questions
- What is the difference between FinGPT and awesome-llm-webapps?
- FinGPT: FinGPT: Open-Source Financial Large Language Models. awesome-llm-webapps: A collection of open source, actively maintained web apps for LLM applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose FinGPT over awesome-llm-webapps?
- Choose FinGPT over awesome-llm-webapps when Requirements: - Detailed setup instructions available in SETUP.md.; - Hardware requirements specified in the comprehensive guide.; Tags unique to FinGPT: chatgpt, finance, fintech, large language models; Also covers Evaluation & Observability; - You're working on a project that requires specific financial sentiment analysis or technical analysis.
- When should I choose awesome-llm-webapps over FinGPT?
- Choose awesome-llm-webapps over FinGPT when Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms.; Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems; Also covers Inference & Serving; - When you need to start an LLM project quickly with a high-quality base application.
- When should I avoid FinGPT?
- - If your project does not require advanced financial-specific NLP capabilities and can suffice with generalized models like those provided in other frameworks. - When the necessity of integrating sentiment analysis or technical analysis is low relative to more general language tasks.
- When should I avoid awesome-llm-webapps?
- - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository. - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods).
- Is FinGPT or awesome-llm-webapps more popular on GitHub?
- FinGPT has more GitHub stars (21,100 vs 720). Stars measure visibility, not whether either tool fits your constraints.
- Are FinGPT and awesome-llm-webapps open source?
- Yes - both are open-source projects on GitHub (FinGPT: MIT, awesome-llm-webapps: MIT).
- Where can I find alternatives to FinGPT or awesome-llm-webapps?
- GraphCanon lists graph-backed alternatives at FinGPT alternatives and awesome-llm-webapps alternatives (FinGPT markdown twin, awesome-llm-webapps 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 awesome-llm-webapps?
- FinGPT: Active. awesome-llm-webapps: Dormant. 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 awesome-llm-webapps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FinGPT trust report; awesome-llm-webapps trust report.