A side-by-side comparison built from catalogue data. Both offer 2 of the same listed features, including API access, Local AI models.
| App |  LM Studio Desktop app for downloading and running open large language models locally. |  Ollama Run open large language models locally from the command line or a local API. |
|---|---|---|
| Developer | Element Labs | Ollama |
| Pricing | Free | Free |
| License | Proprietary | MIT License |
| Open source | Open source: No | Open source: Yes |
| Self-hostable | Self-hostable: No | Self-hostable: Yes |
| Works offline | Works offline: Yes | Works offline: Yes |
| Privacy-focused | Privacy-focused: Yes | Privacy-focused: Yes |
| Windows | Windows: Yes | Windows: Yes |
| macOS | macOS: Yes | macOS: Yes |
| Linux | Linux: Yes | Linux: Yes |
| Self-hosted | Self-hosted: No | Self-hosted: Yes |
| Docker | Docker: No | Docker: Yes |
| Community rating | No reviews yet | No reviews yet |
| Likes | 0 | 0 |
| First released | — | — |
| Categories | AI Assistants | AI Assistants |
| Features | ||
| API access | API access: Yes | API access: Yes |
| Local AI models | Local AI models: Yes | Local AI models: Yes |
| Chat interface | Chat interface: Yes | Chat interface: not recorded |
| Links | ||
Feature rows list only features recorded in the catalogue. A missing check means the feature is not recorded for that app, not necessarily that it is unavailable.
