Table of content
All Nodes
Creates connections between points using various probes.
Delaunay 2D / 3D, Voronoi 2D / 3D
Fuse clusters together by finding Point/Edge and Edge/Edge intersections.
One-stop node for pruning edges
Convert mesh/geometry topology to usable clusters.
Compute edge extra data from its vertices
Compute vtx extra data
Find conditional-based states to nodes within a graph
Creates copies of entire clusters to a set of target points
Convex hull algorithms
Cut clusters using paths
Ensure clusters are clean and complete
Relax points positions of a graph.
Find matching cluster data.
Breaks clusters edge chains into individual paths
Create per-cluster Vtx datasets
Forward clusters with a new unique pair of tags. It’s like creating a copy, only much faster.
Find a point in each cluster that is the closest to a bound-relative position.
Build clusters using custom blueprints!
Connects clusters together.
Two nodes to conveniently pack/unpack cluster data.
Cluster-specific filters
Find paths connecting seeds to goals.
Find a path that goes through multiple chained points.
Find edge contours & outlines
Grows paths from seeds alone.
Smooth points properties and attributes
Find crossings within & against other paths.
Orient points in relation to their neighbors
Blend individual points between from paths’ start and end points.
Create SplineMesh components from paths
Find intersections with points bounds.
Solidify paths into “edges”
Fuse collinear points on a path
Offset path along a direction
Create SplineMesh components from paths
Resample path points.
Shift path point order inside the dataset.
Does a rolling operation over properties & attributes along a path
Bevel path points
Converts a spline into a path.
A Create Spline node with per-point controls & tagging abilities.
Compute extra path informations
Create sub-points between existing points
TBD
Convert paths to clusters.
Prepare points before spawning.
Converts an asset collection to an attribute set.
Sort points using any number of properties and attributes
Create complex partitions from multiple criteria
Proximity-based point pruning and blending.
Compute attribute statistics & unique values
Convert point clouds to a single bounding point
Find a point closest to a bound-relative position.
Cherry pick points using their indices.
Unified approach to Match & Set.
Cherry pick points using their indices.
Reverse current points order. Way faster than reverse index sort.
Merge points based on shared tags
Keep/Remove tags & attributes using string queries
Filter point collections based on tags & attributes using string queries
Write current point index to an attribute
Refreshes point seeds based on their position.
Filter point dataset by their point count.
Kindda like self-pruning but for collections.
Sample information from the nearest mesh collision
Sample environment using line casting
Sample informations from the nearest spline
Sample within bounds
Compute overlap statistics between point collections
Sample points within a spherical range
Sample points based on edge connections
Conveniently process actors and output data using custom blueprints
Sample target points contained within bounds.
Create parametric shapes out of seed points
Circle, Arc, and more
Combine multiple filters
Combine multiple filters
Filters
There are here to enable ctrl+f users. You can find all about them in the Filter Ecosystem section.
Regular Filters
Group multiple filters to set up complex AND/OR branches.
Check if adjacent node meet specific conditions
The Numeric Comparison Filter compares the arithmetic value of an attribute against the closest point from another dataset.
The Numeric Comparison Filter compares the arithmetic value of two attributes
Check if adjacent node meet specific conditions
Compares two string-like attributes against each other.
Check a node’ neighbors count
Performs a simple boolean comparison, converting numeric values to true (> 0) or false (<= 0).
Checks if an attribute value falls within a specified range.
Compares the dot product of two direction vectors against a third value.
Compares the modulo of two attributes against a third operand, with configurable comparisons and tolerance.
Check if the edge direction is within a given range.
Checks if a point is inside or outside the provided bounds, with options for bounds types and an epsilon adjustment.
Compare the value of an attribute on each of the edge endpoint.
Compare the value of an attribute on each of the edge endpoint.
Checks specific flags in an int64 bitmask attribute with configurable mask types, comparisons, and an option to invert results.
Check a node’ neighbors count
Random filter.
The Mean Value Filter compares per-point values of an attribute against the mean statistical value of that same attribute.
Compares the numeric value at one index against the same attribute at another index.
Compares the string value at one index against the same attribute at another index.
Checks against how a point is included in a spline.
Checks against how a point is included in a path.
Edges Filters
Check if the edge direction is within a given range.
Compare the value of an attribute on each of the edge endpoint.
Compare the value of an attribute on each of the edge endpoint.
Check a node’ neighbors count
Node Filters
Check if adjacent node meet specific conditions
Check if adjacent node meet specific conditions
Check a node’ neighbors count
Clusters 
Pathfinding 
Misc 
Sampling