Best Solar Software for Python
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Compare the Top Solar Software that integrates with Python as of January 2026
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This a list of Solar software that integrates with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
What is Solar Software for Python?
Solar software enables solar companies to manage all aspects of their solar business, and offers features such as solar design, solar sales, solar maintenance, solar operations, solar monitoring, and more. Compare and read user reviews of the best Solar software for Python currently available using the table below. This list is updated regularly.
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Solcast
Solcast
Solcast is a cloud-based solar and weather data software built to provide high-resolution, bankable historical, live, and forecast solar irradiance, weather, and photovoltaic (PV) power data for renewable energy applications, delivered through a scalable REST API and developer tools. It tracks real-time satellite cloud cover and blends that with advanced weather models to deliver solar irradiance forecasts from five minutes up to 14 days ahead with high spatial and temporal resolution, and also supplies historical time series from 2007 to seven days ago for performance analysis. Solcast supports multiple PV power forecast models (Rooftop PV, Advanced PV, and Premium PV) that estimate actuals and future output for solar assets of any scale, and its API returns data in JSON or CSV formats suitable for integration into energy software, analytics platforms, or custom workflows. Developers can access this data using native HTTP clients or SDKs (such as Python and C#) with code examples.
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