TsLu1s/tsforecasting
TSForecasting: Automated Time Series Forecasting Framework
This tool helps businesses, analysts, and researchers predict future trends based on historical data. You provide your time-series dataset, like daily sales or hourly sensor readings, and it automatically generates forecasts with confidence intervals for future periods. This is for anyone who needs to make data-driven predictions without extensive machine learning expertise.
Available on PyPI.
Use this if you have a tabular dataset with a date/time column and a target value you want to predict into the future, and you need an automated, robust forecasting solution.
Not ideal if your data isn't time-series based, or if you need to manually intervene at every step of model creation and selection for highly specialized cases.
Stars
30
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 10, 2026
Commits (30d)
0
Dependencies
8
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/TsLu1s/tsforecasting"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning
sktime/sktime
A unified framework for machine learning with time series
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.