factoriolab VS NetworkX

yes, you can start building the house from the roof, as you suggest, or you can use some kind of planner, and start building from the ground.

factoriolab.github.io - my favorite, but if you need a tool for layout, not a calculator - I'm using my imagination

I can recommend https://factoriolab.github.io

You mean the best one, so factoriolab[https://factoriolab.github.io ] aren't you?

There are also online calculators for this: https://factoriolab.github.io

https://factoriolab.github.io/ is pretty similar, but also supports mods and some more options

You might be interested in checking out factoriolab or kirkmcdonald. Both tools work great for planning the amount of machines needed to make a specific factory.

FactorioLab has recipes from several popular mods, including SE, K2, SE+K2, Py, PyAL, A&B, SeaBlock and more.

I mostly make extensive use of factoriolab online calculator. How much planning I'm doing also changes throughout the game:

There's a production chain calculator called FactorioLab which already supports several games beyond just Factorio, and had some discussion about supporting Captain of Industry, but doesn't yet. I would guess there hasn't been a lot of work into it yet because CoI is still relatively early, and has had some significant recipe changes.

Common graph databases are network-based for scaling purposes. Sqlite is a in-file database. So just run graph algorithms on a stringifed json stored as a text on sqlite.

See the networkx module for the common graph algorithms https://networkx.org/

A good place to start specifically for NetworkX would be to go through the new contributor documentation: https://networkx.org/documentation/latest/developer/new_cont...

We also have some structured projects https://networkx.org/documentation/latest/developer/projects... but they are usually for programs like GSoC/Outreachy.

Feel free to start a discussion https://github.com/networkx/networkx/discussions if you are looking for something specific :)

[I am one of the NetworkX devs]

A key feature of this release is pluggable backends incl gpu based ones which should greatly affect performance

https://github.com/networkx/networkx/pull/6000

Sure! I didn't actually use any path-finding algorithm -- I used networkx to do the pathfinding. Essentially, I created a directed graph in networkx which allowed me to model each location as a node and then place a directed edge between them if I was allowed to move from one to the next following the rules (wasn't jumping up more than one step at a time). Once I had built the map, I used the shortest_path_length command in networkx to find the shortest path and compute its length. Let me know if this makes sense or if you want more explanation!

Networkx. The hard-to-find but very powerfull module for working with graphs (as in: 🕸️ networks, not as in: 📈📊 graphical charts).

Python: networkx

Python: networkx https://github.com/networkx/networkx

Would a graph be a better structure to traverse the data vs a list? especially if you require i and i+1 to be the most similar nodes. You could use NetworkX and cosine similarity as the edge weights.

I used Python, networkx, and pyviz to make this. If you want to look at it closer or look at the code you can check out my git.