Altova UModel vs BESSER
Altova UModel
altova.comBESSER
besser-pearl.orgSide by side
| Figure | Altova UModel | BESSER |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 2 |
| Spec score · UML Modeling Software | 8.2 (#4) | 9.0 (#1) |
| Headquarters | Vienna, Austria, and Beverly, Massachusetts, United States | Belval, Esch-sur-Alzette, Luxembourg |
| Integrations | UModel integrates with Eclipse and Microsoft Visual Studio, and its integration package is available as a free download. | Documented generation targets include Python, FastAPI, Django, SQLAlchemy, SQL, Java, React, PyTorch and TensorFlow. |
| Support | Altova provides a technical support form and lists online training among its support resources. | The project offers an on-page assistant without an account, email support, and GitHub bug triage weekly. |
Plans
Altova UModel
- UModel 2026 Basic Edition$209, paid once
- UModel 2026 Professional Edition$349, paid once
- UModel 2026 Enterprise Edition$429, paid once
In their own words
Altova UModel
Altova UModel has no write-up on Specifiction yet; its figures are above.
BESSER
BESSER is an open-source low-code platform for building smart applications by modeling once and generating APIs, databases, agents, and deployments. Its 15+ generators cover databases, REST APIs, web apps, AI agents, and deployment manifests. Built-in modeling includes class diagrams, state machines, object diagrams, agents, and deployment specifications. The GUI Creator deterministically generates complete React frontends from platform-independent GUI models, and AI-assisted modeling supports software with embedded AI components. BESSER connects through an MCP server to Claude Desktop, Cursor, and other MCP-aware clients; BESSER Skills also integrate with Claude Code, Cursor, and Copilot for model and code-generation workflows. Generated Docker components can be used to deploy a running application from a model. The project is MIT-licensed and free, with no freemium tier or hidden fees. It runs on the web, Linux, macOS, and Windows. The Python package installs with pip, and the full codebase can run locally for extensions and generators. It is tested on Python 3.10, 3.11, and 3.12; Python 3.13 is not supported yet. Support includes an on-page assistant, email, and weekly GitHub bug triage.