Open Science vs LabPlot
Side-by-side comparison for macOS
Open Science
7.5AI research workbench with scientific agents and notebooks
LabPlot
8.0Data visualization and analysis software
| Metric | Open Science | LabPlot |
|---|---|---|
| Category | Science | Science |
| AI Score | 7.5 | 8.0 |
| 30-day Installs | 38 | 58 |
| 90-day Installs | 43 | 144 |
| 365-day Installs | 43 | 656 |
| Version | 1.0.0 | 2.12.1 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 4.1K | 445 |
| GitHub Forks | 245 | 58 |
| Open Issues | 42 | - |
| License | Apache-2.0 | — |
| Language | TypeScript | C++ |
| Last GitHub Commit | 1mo ago | 7mo ago |
| First Seen | Sep 7, 2026 | Aug 13, 2024 |
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
LabPlot
LabPlot is a versatile, open-source data visualization and analysis tool designed for everyone from students to professionals. It offers robust features for plotting and data manipulation, making it a valuable tool for scientific and engineering work.
LabPlot provides tools for data visualization, analysis, and manipulation, supporting a wide range of plotting options and data processing tasks.
Pros
- + Free and open-source, accessible to all users
- + Cross-platform support across multiple operating systems
- + Active development with recent updates and contributions
Cons
- - No auto-update feature for convenience
- - License information is unclear, which may concern users