Daytona vs marimo

Daytona provides a secure, elastic runtime for executing AI-generated code and agent workflows. Its homepage states that sandbox creation takes under 90ms, and Daytona describes runtime isolation for code execution. Programmatic controls cover processes, file-system operations, Git integration, and built-in language-server support. SDK examples or interfaces are shown for Python, TypeScript, Ruby, Go, and Java. Listed uses include AI evaluations, code interpreter workloads, coding agents, and data analysis. The product's listed environments include API, Linux, macOS, self-hosted, web, and Windows; its CLI documentation supports macOS, Linux, and Windows. Documentation lists Claude, Cursor, and Windsurf as supported agents. Network options include IP and domain allow lists, outbound blocking, and chained proxies. Organization-scoped secrets are encrypted at rest and injected as placeholders into sandboxes, with plaintext substituted only for allowed HTTPS hosts. Daytona has free offerings and usage-based pricing; compute, memory, storage, and Windows rates are listed, while Enterprise pricing requires contacting sales.

marimo is an open-source reactive Python notebook for reproducible experiments, data work, and interactive apps. When a cell runs, dependent cells run as well or are marked stale, helping keep code and outputs consistent. Notebooks are stored as Python files that can be tracked with Git, run as scripts, or reused as modules. Users can build interfaces with sliders, dropdowns, dataframe tables, and selectable plots, then deploy notebooks as interactive web apps or run them in browsers through WebAssembly. SQL cells work with dataframes, databases, CSVs, and Google Sheets, with named backends including Polars, Pandas, PyArrow, DuckDB, SQLite, and Postgres. AI notebook features support OpenAI, Anthropic, Gemini, Ollama, and compatible APIs. marimo has extensions for VS Code and PyCharm, with the VS Code extension also working in Cursor and other VS Code forks. The free hosted option molab provides 4 CPUs, 32 GB RAM, and sessions up to 12 hours; notebooks are public by default. Running notebook code can execute arbitrary code, so the maker advises using trusted notebooks or reviewing code first. The open-source notebook is free.