Welcome to a new ERA of reproducible publishing

New open-source technology lets eLife authors publish Executable Research Articles that treat live code and data as first-class citizens.

Since 2017, we have been working on the concept of computationally reproducible papers. The open-source suite of tools that started life as the Reproducible Document Stack is now live on eLife as ERA, the Executable Research Article, delivering a truly web-native format for taking published research to a new level of transparency, reproducibility and interactivity.

Read the full press release

import numpy as np
import matplotlib.pyplot as plt

N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = np.pi * (15 * np.random.rand(N))**2

plt.scatter(x, y, s=area, c=colors, alpha=0.5)