Quick comparison # App Pricing Verified price Open source Platforms Verified facts Score 1 OpenRefineOpen source — Yes Windows, macOS, Linux 5 of 5 59.4 2 HexFree plan + paid $36 per editor/month (Professional) No Web 5 of 5 52.6 3 Jupyter NotebookOpen 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 source Windows, 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 servicesCons 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 languageHow this score is calculated Editorial fit ×0.3 69
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
2 Best for: Analytics teams on a cloud warehouse who want notebooks that become shareable data apps
Free plan + paid Web
Why switch from Dataiku
Lighter, notebook-style collaborative analytics with SQL and Python and simpler pricing.
Pros Notebooks publish as interactive apps for non-technical colleagues Works with dbt, Airflow and Dagster Free trial of the Team plan needs no payment cardCons Community plan is limited to small compute and light AI use Per-editor pricing is high compared with general notebook tools Larger machines and GPUs are billed per minute on top of the planHow this score is calculated Editorial fit ×0.3 46
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
3 Best for: Students, researchers and data analysts who want to explore data step by step in a shareable document
Open source Self-hostable Web, 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 JupyterHubCons 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 debuggingHow this score is calculated Editorial fit ×0.3 38
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
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)