DORA (Dataflow-Oriented Robotic Application) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
We use the pyO3 crate for implementing Python nodes and operators. The upcoming v0.21 release will feature a new "Bound" API, which enables better control over the lifetimes of GIL-references, while also improving performance. It also solve https://github.com/PyO3/pyo3/issues/1056, which we encountered in dora.
Right now v0.21 is still in beta, but we should try to migrate dora to the new Bound API once the stable is out.
(Maybe it will even allow us to bring back runtime nodes with multiple Python operators?)
We use the
pyO3
crate for implementing Python nodes and operators. The upcomingv0.21
release will feature a new "Bound" API, which enables better control over the lifetimes of GIL-references, while also improving performance. It also solve https://github.com/PyO3/pyo3/issues/1056, which we encountered in dora.Right now
v0.21
is still in beta, but we should try to migrate dora to the newBound
API once the stable is out.(Maybe it will even allow us to bring back runtime nodes with multiple Python operators?)