Time series analysis has one of the most fragmented library ecosystems in Python. Depending on whether you need statistical forecasting, machine learning pipelines, deep learning models, or anomaly detection, you’ll reach for different tools — each with its own API, data format expectations, and assumptions about your problem.
Datalabhas released OmniExtractBench, an open benchmark for structured document extraction. It tests how accurately a system fills a JSON schema from a PDF. The benchmark pools 620 documents from 4 existing benchmarks. One deterministic scorer grades all of them and explains each decision.
