Discover PLG, an open-source platform for building high-performance Python applications with efficient multiprocessing, distributed computing, and data analysis pipelines.
PLG is an open-source platform aimed at helping developers build high-performance Python applications. It includes a set of libraries and tools that allow you to leverage parallelism, distributed computing, and optimized data pipelines.
Some of the key features of PLG include:
By handling common parallelism, distributed computing, and data routing challenges, PLG enables developers to focus on their application logic instead of infrastructure. It provides simple APIs for leveraging all available computing resources without the overhead of managing servers, networks, connections, etc.
PLG is suited for data engineering teams, data scientists, and application developers building analytics, machine learning, or computational pipelines in Python. It works on Linux, macOS, and Windows.
Here are some alternatives to PLG:
Suggest an alternative ❐