Comparison
END-TO-END-GENERATIVE-AI-PROJECTS vs NExT-GPT
Verdict
Pick END-TO-END-GENERATIVE-AI-PROJECTS if comprehensive generative AI projects focusing on Large Language Models (LLM) frameworks and deployment; 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.
Markdown twin · END-TO-END-GENERATIVE-AI-PROJECTS alternatives · NExT-GPT alternatives
GraphCanon updated today
END-TO-END-GENERATIVE-AI-PROJECTS
GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS
★ 628pushed Jan 24, 2025
Trust & integrity
| Signal | END-TO-END-GENERATIVE-AI-PROJECTS | NExT-GPT |
|---|---|---|
| Maintenance | Dormant (573d since push) As of today · github_public_v1 | Dormant (461d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- END-TO-END-GENERATIVE-AI-PROJECTS
- End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
- NExT-GPT
- Code and models for ICML 2024 paper on multimodal large language model
Stars
- END-TO-END-GENERATIVE-AI-PROJECTS
- 628
- NExT-GPT
- 3.6k
Forks
- END-TO-END-GENERATIVE-AI-PROJECTS
- 181
- NExT-GPT
- 359
Open issues
- END-TO-END-GENERATIVE-AI-PROJECTS
- 1
- NExT-GPT
- 81
Language
- END-TO-END-GENERATIVE-AI-PROJECTS
- -
- NExT-GPT
- Python
Adopt for
- END-TO-END-GENERATIVE-AI-PROJECTS
- Comprehensive generative AI projects focusing on Large Language Models (LLM) frameworks and deployment.
- 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.
Persona
- END-TO-END-GENERATIVE-AI-PROJECTS
- -
- NExT-GPT
- -
Runtime
- END-TO-END-GENERATIVE-AI-PROJECTS
- -
- NExT-GPT
- -
License
- END-TO-END-GENERATIVE-AI-PROJECTS
- MIT
- NExT-GPT
- BSD-3-Clause
Last pushed
- END-TO-END-GENERATIVE-AI-PROJECTS
- Jan 24, 2025
- NExT-GPT
- May 13, 2025
Categories
- END-TO-END-GENERATIVE-AI-PROJECTS
- Inference & Serving, LLM Frameworks, Model Training
- NExT-GPT
- LLM Frameworks, Model Training
Trust and health
Days since push
- END-TO-END-GENERATIVE-AI-PROJECTS
- 573d
- NExT-GPT
- 461d
Open issues (now)
- END-TO-END-GENERATIVE-AI-PROJECTS
- 1
- NExT-GPT
- 81
Stars delta
- END-TO-END-GENERATIVE-AI-PROJECTS
- +23 (30d)
- NExT-GPT
- -1 (30d)
OSV dependency advisories
- END-TO-END-GENERATIVE-AI-PROJECTS
- No lockfile (source not queried)
- NExT-GPT
- Published findings
Full report
- END-TO-END-GENERATIVE-AI-PROJECTS
- Trust report
- NExT-GPT
- Trust report
Choose END-TO-END-GENERATIVE-AI-PROJECTS if…
- License: END-TO-END-GENERATIVE-AI-PROJECTS is MIT, NExT-GPT is BSD-3-Clause.
- Tags unique to END-TO-END-GENERATIVE-AI-PROJECTS: chainlit, finetuning-llms, gemini, generative-ai.
- Also covers Inference & Serving.
- - When you need a wide range of generative AI projects focused on various LLMs such as GPT4o, Gemini, Mistral, and more.
When NOT to use END-TO-END-GENERATIVE-AI-PROJECTS
- - Avoid if your project strictly relies on a single specific framework not covered by this array of projects such as TensorFlow or PyTorch alone.
- - Not advisable for those seeking traditional ML models without an emphasis on generative text and conversational AI capabilities.
Choose NExT-GPT if…
- License: NExT-GPT is BSD-3-Clause, END-TO-END-GENERATIVE-AI-PROJECTS is MIT.
- 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, large language models.
- - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS) · observed Aug 21, 2026
- GitHub forks (GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS) · observed Aug 21, 2026
- Last push (GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS) · observed Jan 24, 2025
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NExT-GPT/NExT-GPT) · observed Aug 18, 2026
- GitHub forks (NExT-GPT/NExT-GPT) · observed Aug 18, 2026
- Last push (NExT-GPT/NExT-GPT) · observed May 13, 2025
- License file (BSD-3-Clause) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: END-TO-END-GENERATIVE-AI-PROJECTS 628 · NExT-GPT 3.6k (synced Aug 21, 2026).
Common questions
- What is the difference between END-TO-END-GENERATIVE-AI-PROJECTS and NExT-GPT?
- END-TO-END-GENERATIVE-AI-PROJECTS: End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects. NExT-GPT: Code and models for ICML 2024 paper on multimodal large language model. See the comparison table for live GitHub stats and shared categories.
- When should I choose END-TO-END-GENERATIVE-AI-PROJECTS over NExT-GPT?
- Choose END-TO-END-GENERATIVE-AI-PROJECTS over NExT-GPT when License: END-TO-END-GENERATIVE-AI-PROJECTS is MIT, NExT-GPT is BSD-3-Clause; Tags unique to END-TO-END-GENERATIVE-AI-PROJECTS: chainlit, finetuning-llms, gemini, generative-ai; Also covers Inference & Serving; - When you need a wide range of generative AI projects focused on various LLMs such as GPT4o, Gemini, Mistral, and more.
- When should I choose NExT-GPT over END-TO-END-GENERATIVE-AI-PROJECTS?
- Choose NExT-GPT over END-TO-END-GENERATIVE-AI-PROJECTS when License: NExT-GPT is BSD-3-Clause, END-TO-END-GENERATIVE-AI-PROJECTS is MIT; 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, large language models; - 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 avoid END-TO-END-GENERATIVE-AI-PROJECTS?
- - Avoid if your project strictly relies on a single specific framework not covered by this array of projects such as TensorFlow or PyTorch alone. - Not advisable for those seeking traditional ML models without an emphasis on generative text and conversational AI capabilities.
- 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.
- Is END-TO-END-GENERATIVE-AI-PROJECTS or NExT-GPT more popular on GitHub?
- NExT-GPT has more GitHub stars (3,637 vs 628). Stars measure visibility, not whether either tool fits your constraints.
- Are END-TO-END-GENERATIVE-AI-PROJECTS and NExT-GPT open source?
- Yes - both are open-source projects on GitHub (END-TO-END-GENERATIVE-AI-PROJECTS: MIT, NExT-GPT: BSD-3-Clause).
- Where can I find alternatives to END-TO-END-GENERATIVE-AI-PROJECTS or NExT-GPT?
- GraphCanon lists graph-backed alternatives at END-TO-END-GENERATIVE-AI-PROJECTS alternatives and NExT-GPT alternatives (END-TO-END-GENERATIVE-AI-PROJECTS markdown twin, NExT-GPT 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, END-TO-END-GENERATIVE-AI-PROJECTS or NExT-GPT?
- END-TO-END-GENERATIVE-AI-PROJECTS: Dormant. NExT-GPT: 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 END-TO-END-GENERATIVE-AI-PROJECTS and NExT-GPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: END-TO-END-GENERATIVE-AI-PROJECTS trust report; NExT-GPT trust report.