Google Colab vs Polynote

Google Colab lets users write and run Python in a browser without configuring a local environment, with access to GPUs and notebook sharing. Its hosted Jupyter notebooks combine executable code with rich text, images, HTML, and LaTeX. Data can come from Google Drive, spreadsheets, GitHub, and other sources, with Google Cloud Storage, Sheets, and BigQuery resources listed for integration. Colab AI can generate or transform code, explain Python libraries, suggest fixes, and perform multi-step data-analysis workflows. By default, it does not access Drive files or user secrets, though it can generate code to access them when explicitly requested. Google says generative-AI features collect prompts, related code, outputs, usage information, and feedback; human reviewers may process that data for up to 18 months. Free notebooks can run for at most 12 hours, depending on availability and usage. Pro+ supports continuous execution up to 24 hours when enough compute units are available. Colab also has a Visual Studio Code extension and a beta, allowlist-gated API. Paid plans start at 8.33 USD/user/mo (annual).

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.