This repository combines visualizations of major software package managers.
All visualizations are available here: http://anvaka.github.io/pm/#/
Please read operating manual - it is short and describes basic navigation principles.
Repository was create for my talk at CascadiaJS 2015
After conference update - video - slides
Friends, you are awesome! I can't express how much I appreciate all your kind words and warm feedback. It really means a world for me. Thank you!
Each graph is indexed individually, and data is pushed to gh-pages branch
of galactic-data.
indexer | demo |
indexer | demo |
indexer | demo |
indexer | demo |
indexer | demo |
indexer | demo |
indexer | demo |
indexer | demo |
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indexer | demo |
indexer | demo |
Open issue to request your own graph |
git clone https://github.com/anvaka/pm
cd pm
npm i
npm start
This will start local development sever with auto-rebuild.
This section has detailed instructions about how to use the tool with your own graphs. Before you read any further, if your graph is smaller than 10k nodes, consider using ngraph.pixel or VivaGraph both should be able to provide interactive layout.
If you have an interesting graph but don't have JavaScript experience,
please feel free to reach out to me and I'll try to make visualization
for you (my email is [email protected]).
Otherwise, if you want to hack on your own, please keep reading.
First, you will need a graph in ngraph.graph
format. The ngraph.graph has detailed documentation about how to create graph,
but it also has several loaders from popular graph formats (e.g. dot,
gexf)
Now that you have a graph we need to compute the layout.
If your graph is smaller than 200k nodes, consider using ngraph.offline.layout. This module was
created exactly for the purpose of the pm project, it is well documented, and
should be easy to get started with. You can also read layout.js of all[gems|go|bower]
packages to see more examples.
If your graph is much larger than 200k nodes, then consider using ngraph.native - this module is harder to work with (as it requires C++ knowledge), but it is much faster.
The secret GitHub visualization is using ngraph.native.
Once layout is computed, we are ready to visualize. Just save the graph using ngraph.tobinary and store it along with latest positions file (produced by layout) into a folder.
Follow the same folder structure as in galactic-data.
Update the config.js in this repository to point to your data server, and you are ready to explore your own graph.
The last shown visualization was secret GitHub followers visualization. It shows all GitHub users who has more than two followers.
The visualization has more than 1,100,000 nodes, and renders at 60 fps when flying around. The FPS drops when you hover-over nodes to 20-30, This is because we are doing hit-testing, to find what's under cursor.
With this many nodes, it runs well in the browser. Unfortunately it requires more than 1GB of RAM. Which may or may not crash your phone browser - sorry about this.
With all warnings said, here are the links:
Please do not hesitate to provide your feedback or bug fixes. Even if it is something small like fixing a typo - I'd be glad to hear from you!