A Python-based tool for analyzing galvanostatic charge/discharge data (GCD-γ Analyzer) in energy storage devices is presented. The software processes voltage–time data together with applied current, active electrode mass, and device type. It performs numerical integration of the voltage–time curve to determine the precise value of the stored energy, while the ideal deviceresponse is estimated under the same operational conditions. A deviation coefficient (γ) is calculated to quantify non-ideal behavior. Based on these values, realistic specific energy and power are obtained. Additionally, the tool provides a graphical visualization of the discharge profile and energy storage regions. As illustrative examples, the tool is demonstrated for both a pseudocapacitor and a battery-type device, which supports normalization by active mass or by electrolyte volume. Finally, the tool has been deployed in a user-friendly streamlit-based interface to perform the analysis and reduce excessive manual data processing.