text: user14429: I want to draw directed graphs using networkx, followed by manual tuning of the visualization with the use of NETWOLF.
  Here is the example of a network.
  G =nx.DiGraph()
  G.add_edges_from([(1, 2), (1, 3),(1, 4),(2, 3)])
  network, config = nw.visualize(G,config={'zoom':3})
  
  However, the graph shown in NETWOLF was undirected graph.
  
  Do you know if you can style network visualizations of directed graphs using NETWULF?
  
  user15610: I'm the author of gravis, an open-source package for interactive graph visualization in Python. It allows to draw directed graphs from NetworkX and the resulting visualization can be modified by user interaction (e.g. node positions, edge curvature and various other visual properties).
  Here's a minimal example based on your code:
  import gravis as gv
  import networkx as nx
  
  g = nx.DiGraph()
  g.add_edges_from([(1, 2), (1, 3), (1, 4), (2, 3)])
  gv.d3(g)
  
  Output: NetworkX DiGraph visualized with gravis inside a Jupyter notebook:
  
  
original_text: 14429: <p>I want to draw directed graphs using networkx, followed by manual tuning of the visualization with the use of NETWOLF.</p>
  <p>Here is the example of a network.</p>
  <pre><code>G =nx.DiGraph()
  G.add_edges_from([(1, 2), (1, 3),(1, 4),(2, 3)])
  network, config = nw.visualize(G,config={'zoom':3})
  </code></pre>
  <p>However, the graph shown in NETWOLF was undirected graph.</p>
  <p><a href="https://i.stack.imgur.com/xvKti.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/xvKti.png" alt="enter image description here" /></a></p>
  <p>Do you know if you can style network visualizations of directed graphs using NETWULF?</p>
   15610: <p>I'm the author of <a href="https://robert-haas.github.io/gravis-docs/" rel="nofollow noreferrer">gravis</a>, an open-source package for interactive graph visualization in Python. It allows to draw directed graphs from NetworkX and the resulting visualization can be modified by user interaction (e.g. node positions, edge curvature and various other visual properties).</p>
  <p>Here's a minimal example based on your code:</p>
  <pre><code>import gravis as gv
  import networkx as nx
  
  g = nx.DiGraph()
  g.add_edges_from([(1, 2), (1, 3), (1, 4), (2, 3)])
  gv.d3(g)
  </code></pre>
  <p>Output: NetworkX DiGraph visualized with gravis inside a Jupyter notebook:
  <a href="https://i.stack.imgur.com/8lTu9.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/8lTu9.png" alt="enter image description here" /></a></p>
  