Comparison
NExT-GPT vs awesome-LLM-resources
Verdict
Pick NExT-GPT if nExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications; pick awesome-LLM-resources if awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Markdown twin · NExT-GPT alternatives · awesome-LLM-resources alternatives
GraphCanon updated Sep 20, 2026
16views this month
vs
Trust & integrity
| Signal | NExT-GPT | awesome-LLM-resources |
|---|---|---|
| Maintenance | Dormant (461d since push) As of Aug 18, 2026 · github_public_v1 | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- NExT-GPT
- Code and models for ICML 2024 paper on multimodal large language model
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- NExT-GPT
- 3.6k
- awesome-LLM-resources
- 9.0k
Forks
- NExT-GPT
- 359
- awesome-LLM-resources
- 993
Open issues
- NExT-GPT
- 81
- awesome-LLM-resources
- 40
Language
- NExT-GPT
- Python
- awesome-LLM-resources
- -
Adopt for
- NExT-GPT
- NExT-GPT is focused on multimodal capabilities and instruction tuning for a large language model, targeting researchers and developers interested in multimodal applications.
- awesome-LLM-resources
- awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Persona
- NExT-GPT
- -
- awesome-LLM-resources
- -
Runtime
- NExT-GPT
- -
- awesome-LLM-resources
- -
License
- NExT-GPT
- BSD-3-Clause
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- NExT-GPT
- May 13, 2025
- awesome-LLM-resources
- Sep 14, 2026
Categories
- NExT-GPT
- LLM Frameworks, Model Training
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- NExT-GPT
- Dormant (18%)
- awesome-LLM-resources
- Very active (96%)
Days since push
- NExT-GPT
- 461d
- awesome-LLM-resources
- 3d
Open issues (now)
- NExT-GPT
- 81
- awesome-LLM-resources
- 40
Stars delta
- NExT-GPT
- -1 (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- NExT-GPT
- 0 (30d)
- awesome-LLM-resources
- +17 (30d)
OSV dependency advisories
- NExT-GPT
- Published findings
- awesome-LLM-resources
- No lockfile (source not queried)
Full report
- NExT-GPT
- Trust report
- awesome-LLM-resources
- Trust report
Choose NExT-GPT if…
- License: NExT-GPT is BSD-3-Clause, awesome-LLM-resources is Apache-2.0.
- Pricing: NExT-GPT is open-source under BSD-3-Clause license, indicating a free but restricted-for-commercial-use model without associated direct monetary cost..
- Requirements: Min 8 GB RAM; - The repository notes that the code and models are intended for non-commercial use only and must not be used in any illegal or harmful contexts.; - Potential commercial users should seek approval from the authors, making it unsuitable without prior authorization if commercial application is considered..
- Tags unique to NExT-GPT: chatgpt, foundation models, instruction-tuning, multimodal.
- - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT.
When NOT to use NExT-GPT
- - When your project necessitates a production-ready solution, as NExT-GPT is positioned purely for research and non-commercial use.
- - If your application requires the model to be used in contexts like illegal, harmful, violent, racist, or sexual purposes, since its usage guidelines explicitly prohibit such applications.
Choose awesome-LLM-resources if…
- License: awesome-LLM-resources is Apache-2.0, NExT-GPT is BSD-3-Clause.
- Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs..
- Requirements: The repository does not specify any technical requirements for accessing its content..
- Tags unique to awesome-LLM-resources: awesome-list, book, course, llama.
- Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving.
- When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
When NOT to use awesome-LLM-resources
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider.
- When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
Explore
NExT-GPT trust report →awesome-LLM-resources trust report →LLM Frameworks category →Model Training category →AI Agents category →Computer Vision category →Data & Retrieval category →Developer Tools category →Evaluation & Observability category →Inference & Serving category →All comparisonsStack workflowsTrending tools
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NExT-GPT/NExT-GPT) · observed Sep 20, 2026
- GitHub forks (NExT-GPT/NExT-GPT) · observed Sep 20, 2026
- Last push (NExT-GPT/NExT-GPT) · observed May 13, 2025
- License file (BSD-3-Clause) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: NExT-GPT 3.6k · awesome-LLM-resources 9.0k (synced Sep 20, 2026).
Common questions
- What is the difference between NExT-GPT and awesome-LLM-resources?
- NExT-GPT: Code and models for ICML 2024 paper on multimodal large language model. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose NExT-GPT over awesome-LLM-resources?
- Choose NExT-GPT over awesome-LLM-resources when License: NExT-GPT is BSD-3-Clause, awesome-LLM-resources is Apache-2.0; Pricing: NExT-GPT is open-source under BSD-3-Clause license, indicating a free but restricted-for-commercial-use model without associated direct monetary cost.; Requirements: Min 8 GB RAM; - The repository notes that the code and models are intended for non-commercial use only and must not be used in any illegal or harmful contexts.; - Potential commercial users should seek approval from the authors, making it unsuitable without prior authorization if commercial application is considered.; Tags unique to NExT-GPT: chatgpt, foundation models, instruction-tuning, multimodal; - If you are conducting research specifically centered around multimodal interactions (combining text with visual elements) aligning with the scope of NExT-GPT.
- When should I choose awesome-LLM-resources over NExT-GPT?
- Choose awesome-LLM-resources over NExT-GPT when License: awesome-LLM-resources is Apache-2.0, NExT-GPT is BSD-3-Clause; Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.; Requirements: The repository does not specify any technical requirements for accessing its content.; Tags unique to awesome-LLM-resources: awesome-list, book, course, llama; Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
- When should I avoid NExT-GPT?
- - When your project necessitates a production-ready solution, as NExT-GPT is positioned purely for research and non-commercial use. - If your application requires the model to be used in contexts like illegal, harmful, violent, racist, or sexual purposes, since its usage guidelines explicitly prohibit such applications.
- When should I avoid awesome-LLM-resources?
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
- Is NExT-GPT or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,968 vs 3,637). Stars measure visibility, not whether either tool fits your constraints.
- Are NExT-GPT and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub (NExT-GPT: BSD-3-Clause, awesome-LLM-resources: Apache-2.0).
- Where can I find alternatives to NExT-GPT or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at NExT-GPT alternatives and awesome-LLM-resources alternatives (NExT-GPT markdown twin, awesome-LLM-resources 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, NExT-GPT or awesome-LLM-resources?
- NExT-GPT: Dormant. awesome-LLM-resources: 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 NExT-GPT and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: NExT-GPT trust report; awesome-LLM-resources trust report.