Comparison
NExT-GPT vs align-anything
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 align-anything if align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO.
Markdown twin · NExT-GPT alternatives · align-anything alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | NExT-GPT | align-anything |
|---|---|---|
| Maintenance | Dormant (461d since push) As of 3d · github_public_v1 | Slowing (263d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · github_public_v1 | Not a fork · Organization account As of 4d · 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
- NExT-GPT
- Code and models for ICML 2024 paper on multimodal large language model
- align-anything
- Training All-modality Model with Feedback
Stars
- NExT-GPT
- 3.6k
- align-anything
- 4.7k
Forks
- NExT-GPT
- 359
- align-anything
- 505
Open issues
- NExT-GPT
- 81
- align-anything
- 32
Language
- NExT-GPT
- Python
- align-anything
- Python
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.
- align-anything
- Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO.
Persona
- NExT-GPT
- -
- align-anything
- -
Runtime
- NExT-GPT
- -
- align-anything
- -
License
- NExT-GPT
- BSD-3-Clause
- align-anything
- This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved.
Last pushed
- NExT-GPT
- May 13, 2025
- align-anything
- Nov 27, 2025
Categories
- NExT-GPT
- LLM Frameworks, Model Training
- align-anything
- LLM Frameworks, Model Training
Trust and health
Maintenance
- NExT-GPT
- Dormant (18%)
- align-anything
- Slowing (36%)
Days since push
- NExT-GPT
- 461d
- align-anything
- 263d
Open issues (now)
- NExT-GPT
- 81
- align-anything
- 32
Stars delta
- NExT-GPT
- -1 (30d)
- align-anything
- +4 (30d)
Owner type
- NExT-GPT
- User
- align-anything
- Organization
OSV dependency advisories
- NExT-GPT
- Published findings
- align-anything
- No lockfile (source not queried)
Full report
- NExT-GPT
- Trust report
- align-anything
- Trust report
Choose NExT-GPT if…
- License: NExT-GPT is BSD-3-Clause, align-anything 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, llm.
- - 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 align-anything if…
- License: align-anything is Apache-2.0, NExT-GPT is BSD-3-Clause.
- Requirements: Python execution environment.
- Tags unique to align-anything: chameleon, dpo, rlhf, vision-language-model.
- align-anything ships Docker support for self-hosted deployment.
- - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
When NOT to use align-anything
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO.
- - For projects that do not require support for multiple data modalities.
Explore
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 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 (PKU-Alignment/align-anything) · observed Aug 17, 2026
- GitHub forks (PKU-Alignment/align-anything) · observed Aug 17, 2026
- Last push (PKU-Alignment/align-anything) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: NExT-GPT 3.6k · align-anything 4.7k (synced Aug 18, 2026).
Common questions
- What is the difference between NExT-GPT and align-anything?
- NExT-GPT: Code and models for ICML 2024 paper on multimodal large language model. align-anything: Training All-modality Model with Feedback. See the comparison table for live GitHub stats and shared categories.
- When should I choose NExT-GPT over align-anything?
- Choose NExT-GPT over align-anything when License: NExT-GPT is BSD-3-Clause, align-anything 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, llm; - 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 align-anything over NExT-GPT?
- Choose align-anything over NExT-GPT when License: align-anything is Apache-2.0, NExT-GPT is BSD-3-Clause; Requirements: Python execution environment; Tags unique to align-anything: chameleon, dpo, rlhf, vision-language-model; align-anything ships Docker support for self-hosted deployment; - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
- 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 align-anything?
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - For projects that do not require support for multiple data modalities.
- Is NExT-GPT or align-anything more popular on GitHub?
- align-anything has more GitHub stars (4,666 vs 3,637). Stars measure visibility, not whether either tool fits your constraints.
- Are NExT-GPT and align-anything open source?
- Yes - both are open-source projects on GitHub (NExT-GPT: BSD-3-Clause, align-anything: Apache-2.0).
- Where can I find alternatives to NExT-GPT or align-anything?
- GraphCanon lists graph-backed alternatives at NExT-GPT alternatives and align-anything alternatives (NExT-GPT markdown twin, align-anything 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 align-anything?
- NExT-GPT: Dormant. align-anything: Slowing. 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 align-anything?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: NExT-GPT trust report; align-anything trust report.