Best Scientific Computing Notebooks in 2026

Datalore

Datalore suits data science teams that want shared notebooks, database connections and report publishing.

Deepnote suits data professionals and teams who want collaborative notebooks, scheduled analysis, or dashboards and apps built from their work.

JupyterLab

JupyterLab suits people doing interactive, exploratory computing, including data science, scientific computing, computational journalism and machine learning.

marimo

marimo suits data scientists, analysts, educators, AI and ML engineers, data engineers, and web developers who work with Python or SQL.

Hex

Hex describes Community as suited to hobbyists and small projects, Professional to individuals, Team to companies collaborating on data, and Enterprise to organizations needing advanced security, governance, and support.

Observable

Observable suits people building data notebooks, visual explanations, collaborative analyses, or custom data apps.