Quick comparison
| # | App | Pricing | Verified price | Open source | Platforms | Verified facts | Score |
|---|
| 1 | OpenRefine | Open source | — | Yes | Windows, macOS, Linux | 5 of 5 | 59.4 |
| 2 | Jupyter Notebook | Open source | — | Yes | Web, Windows, macOS +2 | 5 of 5 | 50.0 |
1
Best for: Researchers, librarians and journalists cleaning messy spreadsheets without writing code
Open sourceWindows, macOS, Linux
Why switch from Dataiku
Free and open source for cleaning messy data on your own machine, without the ML platform.
Pros
- Clustering merges inconsistent spellings in a few clicks
- Full undo history that can be replayed on new data
- Data stays on your own machine
- Reconciliation against Wikidata and other services
Cons
- Struggles with very large datasets that don't fit in memory
- No built-in scheduling or automated pipelines
- Advanced transforms need its own GREL expression language
How this score is calculated
Editorial fit ×0.369
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
2
Best for: Students, researchers and data analysts who want to explore data step by step in a shareable document
Open sourceSelf-hostableWeb, Windows, macOS, Linux, Self-hosted
Why switch from Dataiku
Free open-source notebooks for data prep and modelling in Python, without a platform licence.
Pros
- Free and open source with no paid tier
- Supports many languages through separate kernels
- Notebooks render on GitHub and are easy to share
- Can be run for a whole class or team with JupyterHub
Cons
- Needs a local Python setup or a server; no official desktop installer
- Out-of-order cell execution makes results easy to break
- Old v6 extensions don't work in Notebook 7
- Weak fit for large codebases, refactoring and debugging
How this score is calculated
Editorial fit ×0.338
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
Verified facts
5 of 5 verified- License
- BSD-3-Clause
- Checked Nov 1, 2026github.com(opens source in a new tab)
- Languages
- 40+, incl. Python, R, Julia
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)
- Install
- pip install notebook
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)
- Origin
- IPython project, 2014
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)
- Notebook format
- Open, JSON-based
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)