Compliance continues to drive adoption of trusted open source: We saw the same themes from December present here, underscored ...

Abstract: Static analysis tools such as Pylint generate hundreds or thousands of warnings in Python projects. While each warning is useful in isolation, it is far less clear how these warnings relate ...

pattern_causality is a comprehensive Python library that implements the Pattern Causality algorithm for analyzing causal relationships in time series data. This package provides efficient tools for ...

Abstract: Row pattern recognition (RPR) enables data scientists to detect complex sequences such as trends, repetitions, and the absence of events. Modern SQL engines such as Oracle, Snowflake, Flink, ...

v2.0 is not just about saving tokens on chart-heavy decks. The fundamental change is moving ~80% of the compute from GPU (LLM inference) to CPU (deterministic Python execution). In v1.x, every pixel ...