Summary
A computation library designed so that division by zero, overflow and precision loss do not take the pipeline down. A foundation under the other layers — published on GitHub and installable from PyPI.
Balansis asks a simple question with expensive consequences: why should an entire computation die because one value hit a singularity? The library is built so that division by zero, overflow and accumulated precision loss degrade gracefully instead of destroying the result.
It sits underneath the other layers of the stack as their numerical foundation. Unlike the research layers, it is out: the source is on GitHub, releases are on PyPI, and the mechanism is in the code — read it rather than take the guarantees on trust.
Links