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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | Neywa-Labs/mlx-vlm MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX. | haotian-liu/LLaVA [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond. |
|---|---|---|
| Stars | 5,809 | 25,076 |
| Net stars, last 30 days | +243 | +42 |
| Largest star day | +76 on Nov 3, 2026 | +11 on May 11, 2026 |
| Milestone reached in the record | 5,000 on Jun 14, 2026 | 25,000 on Sep 23, 2026 |
| Forks | 879 | 2,770 |
| Language | Python | Python |
| License | MIT | APACHE-2.0 |
| Created | Apr 16, 2024 | Apr 17, 2023 |
| Last push | Nov 5, 2026 | Aug 12, 2024 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 1 of 4 checks |
| Health facts: Releases | 2 of 3 checks (1 without data) | 1 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks |
| Commits, last 13 weeks | No data | 0 |
| Weeks with commits, last 52 | No data | 0 of 52 |
| In the Repository Index since | Nov 4, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: llava, vision-language-model. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined