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) plt.show()