Scripts and ressearch round about my small solar plant
Many projects on GitHub leverage pvlib-python for simulating solar energy, processing photovoltaic (PV) dataset analytics, and forecasting power outputs. [1, 2, 3] You can explore these notable GitHub projects built using pvlib-python categorized by their functional focus:
The core pvlib organization develops secondary tools built directly around or on top of the main pvlib-python engine:
- pvanalytics: Focuses on quality control, data filtering, and feature labeling for PV system data.
- twoaxistracking: A specific package designed to simulate self-shading and tracking for two-axis solar collectors.
- solarfactors: A community implementation of the pvfactors bifacial irradiance model. [3]
- PV-Prognose: Calculates expected PV plant power output by connecting pvlib to German Weather Service (DWD) forecast data.
- solar-explorer: An interactive web application built with Marimo to design and simulate the yield of solar plants. [4, 5]
- pv-tutorials: The official training repository containing end-to-end notebooks for lifecycle decisions, single-axis bifacial tracking, and system yields. [6]
To see an updated, live list of all public code repositories depending on this package:
- Navigate directly to the pvlib-python GitHub Topics Page to view custom community apps.
- For an exhaustive breakdown of thousands of open-source projects, click on the Dependency Graph under the repository's "Insights" tab to view every repository that lists pvlib in its requirements. [5]
[1] https://github.com [2] https://github.com [3] https://github.com [4] https://github.com [5] https://github.com [6] https://pv-tutorials.github.io