Open Data Editor vs OpenRefine
Side-by-side comparison for macOS
Open Data Editor
6.0No-code application to explore, validate and publish data in a simple way
OpenRefine
8.0Tool for working with messy data (previously Google Refine)
| Metric | Open Data Editor | OpenRefine |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 3 | 52 |
| 90-day Installs | 8 | 183 |
| 365-day Installs | 53 | 836 |
| Version | 1.7.1 | 3.10.1 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 300 | 11.8K |
| GitHub Forks | 40 | 2.1K |
| Open Issues | 84 | 693 |
| License | MIT | BSD-3-Clause |
| Language | Python | Java |
| Last GitHub Commit | 2mo ago | 1mo ago |
| First Seen | Jul 10, 2025 | Jun 19, 2017 |
Reviews
Open Data Editor
Open Data Editor (ODE) is a no-code application designed to explore, validate, and publish tabular data easily. It's particularly useful for data analysts, researchers, and anyone working with structured data who prefers a user-friendly interface over coding. Built on the Frictionless Framework, it offers a reliable and open-source solution for data handling.
The app allows users to explore, validate, and publish tabular data without the need for coding.
Pros
- + No-code interface makes it accessible to non-developers
- + Open-source and free, accessible to a wide audience
- + Built on the reliable Frictionless Framework
Cons
- - Low installation numbers indicate limited adoption
- - No auto-update feature
OpenRefine
OpenRefine is a powerful tool for cleaning, transforming, and analyzing messy datasets. It's open-source, allowing customization and transparency, making it essential for data analysts and researchers.
OpenRefine helps clean, transform, and analyze messy datasets.
Pros
- + Open-source with strong community support
- + Powerful data cleaning and transformation capabilities
- + Free and customizable
Cons
- - Lack of auto-updates
- - User interface is somewhat dated