👉 Now head back to Deepnote and add the Client ID, Client Secret, and Project ID to the Google Big Query integration pop up. You will of course need to make sure you've selected Google OAuth as the authentication method.

- Scheduled notebooks can use a BigQuery OAuth integration: scheduled runs authenticate with the OAuth tokens of the user who set up the schedule. Because those tokens can expire or be revoked, scheduled runs may fail unexpectedly — for reliable scheduling, use [service account authentication](google-bigquery#authenticating-with-a-service-account) instead.

Be careful – enabling the option may interrupt the work of your colleagues.

If you want to set a limit for your charges, we recommend you set a billing alert for that amount. When you receive the notification, you can follow the link the email and disable the pay-as-you-go machines in your workspace.

AI usage is billed on a usage basis. Each plan includes a monthly AI quota, and usage beyond it is billed as pay-as-you-go. To keep AI spending predictable, workspace admins can set a custom monthly overage limit in the workspace settings, and will receive emails as usage approaches or exceeds the included quota. Admins can also review AI usage — token consumption and cost per user and across the workspace — in the workspace settings.

- Nominal — categorical data without a specific order among values. For example, product categories in sales report.

- Temporal — data related to time and dates. Following our sales report example, order date will have temporal data type.

- Quantitative — numerical data that can be measured and analyzed mathematically, e.g. product prices or store's revenue.

Applied filters are always added to the Filters list, making them easy to remove or modify. You can also combine multiple conditional filters — just press the plus button in the Filters list to add a new filter for more complex filtering logic.

Ever needed to show just a bit more information on a chart without cluttering the entire visualization? With custom tooltips you can enrich your charts by selecting additional columns from your plotted DataFrame to display in the tooltip — not just those configured on the chart.

Deepnote comes with a pre-built conda environment which allows users to instantly take advantage of the Anaconda ecosystem. This includes being able to use conda—a widely used CLI tool for package management which will include packages from the [Miniconda Installer](https://docs.conda.io/en/latest/miniconda.html).

description: Learn how to convert between Deepnote project files (`.deepnote`) and other notebook formats — Jupyter (`.ipynb`), Quarto (`.qmd`), Percent (`.py`), and Marimo (`.py`) — using the `@deepnote/convert` tool.

2. Configure the environment — install required Python packages and set environment variables.

The package provides a `deepnote-convert` command-line tool for converting notebooks. Pass any supported file as the `<path>` argument — the tool detects the input format automatically (`.ipynb`, `.qmd`, or a `.py` file in Percent or Marimo format) and produces a `.deepnote` file. Pass a `.deepnote` file to convert in the reverse direction (see [Converting .deepnote to other formats](#converting-deepnote-to-other-formats)).

This creates a `notebook.deepnote` file in the current directory containing a single-notebook project. Quarto (`.qmd`), Percent (`.py`), and Marimo (`.py`) files are converted the same way — just pass the file path.

Convert an entire project directory — each notebook becomes its own `.deepnote` file:

This constraints file helps prevent library conflicts and ensures compatibility with Deepnote's features like the variable explorer and interactive DataFrame views. Don't worry about installing additional dependencies for these features—we'll automatically detect and load them at runtime.

The access controls of the published app are still respected – only people with access to the app can access the files. Note: all files in the /work directory (what you see in the project's **Files** section) can be accessed this way, so make sure you are not exposing anything sensitive.