Open Science vs Goose
Side-by-side comparison for macOS
Open Science
7.5AI research workbench with scientific agents and notebooks
Goose
8.0Open source, extensible AI agent that goes beyond code suggestions
| Metric | Open Science | Goose |
|---|---|---|
| Category | Science | Developer Tools |
| AI Score | 7.5 | 8.0 |
| 30-day Installs | 38 | 845 |
| 90-day Installs | 43 | 2.5K |
| 365-day Installs | 43 | 11.0K |
| Version | 1.0.0 | 1.55.0 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 4.1K | 32.8K |
| GitHub Forks | 245 | 3.0K |
| Open Issues | 42 | 366 |
| License | Apache-2.0 | Apache-2.0 |
| Language | TypeScript | Rust |
| Last GitHub Commit | 1mo ago | 7mo ago |
| First Seen | Sep 7, 2026 | Feb 24, 2025 |
Reviews
Open Science
Open Science is an AI research workbench offering scientific agents, notebooks, and data connectors, designed for cross-platform use. It benefits researchers by providing a model-agnostic, local-first environment for reproducible studies.
Provides an AI research environment with notebooks and data connectors for reproducible studies.
Pros
- + Open-source and Apache-2.0 licensed
- + Local-first and cross-platform functionality
- + Supports Python and R notebooks
- + Reproducible provenance tracking
Cons
- - Low recent installs
- - Niche audience
Goose
Goose is an open-source AI agent that extends beyond code suggestions, offering capabilities for executing, editing, and testing with any LLM. It's ideal for developers and AI enthusiasts seeking a versatile tool.
An AI agent that assists with code tasks and integrates with various large language models.
Pros
- + Open-source and extensible
- + Supports multiple LLMs
- + Active development and community
Cons
- - No auto-update feature
- - Potential learning curve