The Boost algorithm computes the vertex-biconnected components rather than the edge-biconnected components, which are two different but related concepts. Articulation points are also more related to vertex-biconnectedness than to edge-biconnectedness (articulation points are vertices that lie in multiple vertex-biconnected components, i.e., if you remove one you split up the graph into more components). From what I can see in the Boost docs, it doesn't have an implementation of edge-biconnected components.

You can write an algorithm to compute all of the articulation points & bridges & edge-biconnected components & vertex-biconnected components in a single DFS. Because of this you refer to all of them as just "Tarjan's algorithm" even if you just compute one of them (he is kind of the Euler of graph algorithms in that like half of graph algorithms is named after him). So, on a technical level, I guess my implementation is similar to the algorithm in Boost because they both use DFS and this `low` map, but they compute different things.

Finding the vertex-biconnected components next to the articulation points involves more work though (the implementation I used to have manages to also do it in the same pass but also maintains a stack of edges).