Deepnote vs Dnote

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.

Dnote is a free, open-source terminal notebook for storing commands, snippets, and insights, then locating them with full-text search. It runs locally on Linux, macOS, and Windows, with an API platform option and self-hosted deployment. Notes live in books; Dnote creates a book automatically when its first note is added. Editing uses the text editor configured on your system, whether terminal-based or graphical. The command-line client stores data in SQLite and follows the XDG Base Directory convention for configuration and data paths. You can optionally run a self-hosted server to synchronize notes between devices. That server exposes a REST API for notes and books, reachable from any HTTP client, while the CLI accepts standard-input piping. Deployment options include Docker Compose, Docker, or a standalone binary. The web note-taking interface was removed, and end-to-end encryption was removed according to the maker.