weld

Weld expresses computations from different libraries in a common IR, enabling optimizations that reduce data movement and improve efficiency, as highlighted in the README's description of solving performance fragmentation.

By building up entire workflows lazily and evaluating only when needed, Weld minimizes overhead and allows optimizations to approach hardware limits, per the philosophy section.

Provides Python bindings and Grizzly, a Pandas subset integrated with Weld, making it practical for data analytics workflows, as documented in the python.md and Grizzly sections.

Includes command-line tools like a REPL for inspecting and debugging programs, which aids development, as mentioned in the Tools section of the README.