All-around, generic utility nodes.
Sort points using any number of properties and attributes
Create complex partitions from multiple criteria
Proximity-based point pruning and blending.
Convert point clouds to a single bounding point
Reverse current points order.
Cherry pick points using their indices.
Keep/Remove tags & attributes using string queries
Unified approach to Match & Set.
Merge points based on shared tags
Write current point index to an attribute
Filter point collections based on tags & attributes using string queries
Refreshes point seeds based on their position.
Filter point dataset by their point count.
Kindda like self-pruning but for collections.
Two nodes to conveniently relax point data.
