UrbsLab/STREAMLINE
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
This tool helps scientists and researchers automatically build and interpret predictive models from their tabular data. You input a spreadsheet or similar dataset where rows are observations and columns are features, along with a column indicating a 'yes/no' or 'positive/negative' outcome. It then provides transparent insights into which factors predict that outcome, along with a ready-to-use predictive model.
Use this if you need to understand what factors influence a binary outcome in your tabular data (like 'disease present' vs. 'disease absent') and want an automated, interpretable predictive model.
Not ideal if your data includes text, images, or time-series information, or if you need to predict a numerical value or more than two categories.
Stars
80
Forks
12
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/UrbsLab/STREAMLINE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
JulietMirambo/Units_of_Measure_Harmonization-intelligence-platform
Production-Grade ML System for Automated Unit of Measure Error Detection | 88-92% Accuracy |...
mljar/automl-app
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface...
himanshu231204/AutoML-Studio-Pro-
AutoML Studio Pro is an interactive, browser-based platform that automates the complete machine...
BrandWill-ML-DS-DE/enterprise-automl
Production-ready AutoML platform with Optuna, MLflow, and FastAPI.
sino-aus/POMA-Data-Analysis-and-AutoML-Platform
Automate data analysis and modeling, so you can focus on the work that makes an impact. If you...