Factual package intelligence from PyPI
Agentic time series forecasting with 16+ models, smart presets, parallel model search, dataset profiling, MCP, FastAPI, LangChain, and anomaly detection.
pip install autotsforecast
PyPI declares 73 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.21.0>=1.3.0>=1.0.0>=0.13.0>=1.7.0>=1.1.0The compact report shows 12 of 73 declarations. The interactive dependency graph loads the complete metadata.
autotsforecast publishes 1 wheel and 1 source archive for version 0.6.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 15 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
8 historical releases are fully yanked in PyPI metadata.