Deepnote vs Polynote

Deepnote is an AI workspace for data professionals working on data analysis, exploration, and machine learning. Its copilot can chat with data, make charts, and write code; notebooks can also become dashboards or interactive apps with live data. Teams can collaborate in notebooks, comment on blocks, and share work by link or email invitation. Notebooks can run on hourly, daily, weekly, or monthly schedules, or be deployed as APIs. Listed integrations include PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. Deepnote supports Python, SQL, R, and Stata, with a hybrid execution model and notebook formats including .deepnote, .ipynb, .qmd, .py, and PDF. The free plan allows up to three editors and five projects, with seven-day revision history. Paid pricing starts at $39/user/mo (annual); a 14-day trial is listed. Deepnote says it has SOC 2 Type II certification, encrypts data at rest and in transit, and does not use customer data to improve AI or ML models.

Polynote is free, open-source notebook software with first-class Scala support. One notebook can mix Scala, Python, SQL, and Vega while sharing data between languages. Its immutable data model and ordered cell semantics support reproducible work. Editing includes autocomplete, error highlighting, rich text, and LaTeX equations. The interface tracks kernel tasks and highlights the statement currently running. A plot editor and Vega support handle visualization. Polynote integrates with Apache Spark for Scala and Python; Python runs through Jep in the JVM and can share data with Scala. The software is a JVM-based server that serves a web client and is distributed for self-hosting on Linux, macOS, and other listed environments. It supports Jupyter .ipynb and Zeppelin .json formats. Runtime documentation reports successful testing with Java 8 and Java 11 and requires Python 3 with pip. Installation warns that arbitrary remote code execution makes internet-accessible deployment unsafe.