Codebraid – live code in Pandoc Markdown

Create dynamic documents by executing code blocks and inline code in Pandoc Markdown.

  • Execute code with Jupyter kernels or with the extensible built-in execution system.
  • Display Jupyter rich output like plots and LaTeX math in both block and inline contexts.
  • Write pure Pandoc Markdown—no custom syntax or separate preprocessing stage.
  • Mix languages freely—use multiple language kernels within the same document and multiple independent sessions per kernel.
  • Customize the display of code output—easily modify what is displayed, and display it anywhere in the document using literate programming capabilities.
  • Preview documents in VS Code or VSCodium with a dedicated extension supporting scroll sync.
---
codebraid:
  jupyter: true
---

## Jupyter demo

An example with Matplotlib:

```{.python .cb-nb}
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 1001)
plt.plot(x, np.cos(2*x))
plt.plot(x, 3*np.sin(x))
plt.grid()
```

Jupyter demo

An example with Matplotlib: 

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 1001)
plt.plot(x, np.cos(2*x))
plt.plot(x, 3*np.sin(x))
plt.grid()

Animation of Jupyter code execution in VS Code using Codebraid Preview

Example documents

The documents below demonstrate Codebraid capabilities. For more advanced features, see the end of the Python and Rust examples.

Publications

External resources

The new Codebraid website is currently under development.