main.py
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BudiBadu
Online Statsmodels Compiler
Statsmodels is a powerful Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. It complements SciPy's statistics module with descriptive statistics, estimation and inference for statistical models.
Our online Statsmodels compiler empowers you to perform complex statistical analysis directly in your browser. Powered by Pyodide, it runs a full Python environment with Statsmodels, NumPy, Pandas, and Matplotlib pre-installed. You can perform Linear Regression (OLS), Generalized Linear Models (GLM), Time Series Analysis (ARIMA, etc.), and various robust statistical tests without setting up a local environment.
Whether you are a student learning econometrics, a researcher needing a quick statistical check, or a data scientist exploring datasets, this tool offers a seamless experience. Support for file uploads means you can bring your own CSV datasets and analyze them instantly.
Key Features
- Linear regression models (OLS, WLS, GLS)
- Generalized linear models (GLM) for various families (Binomial, Poisson, etc.)
- Time Series Analysis (ARIMA, VAR, State Space Models)
- Statistical tests (t-tests, F-tests, non-parametric tests)
- Plotting functions for goodness-of-fit and diagnostics
Part of the BudiBadu Ecosystem
Specialized Online Python compiler powered by Pyodide WebAssembly. Run Python Library directly in your browser with zero setup.
Pyodide
WebAssembly
Monaco Editor
Python 3.13