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Flexible · Low-entry · Investment · X-sector · OPTimization
Model more than costs · Easy to prototype · Based on dispatch · Sector coupling · Mathematical optimization
Model, optimize, and analyze complex energy systems with a powerful Python framework designed for flexibility and performance.
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New to FlixOpt? Start here with installation and your first model
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Explore real-world examples from simple to complex systems
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Detailed documentation of all classes, methods and parameters
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📖 Recipes
Common patterns and best practices for modeling energy systems
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:material-math-integral: Mathematical Notation
Understand the mathematical formulations behind the framework
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:material-road: Roadmap
See what's coming next and contribute to the future of FlixOpt
FlixOpt provides a complete workflow for energy system optimization:
- :material-file-code: Define your system using Python components
- :material-cog: Optimize with powerful solvers (HiGHS, Gurobi, CPLEX)
- :material-chart-box: Analyze results with built-in visualization tools
- :material-export: Export to various formats for further analysis
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:fontawesome-brands-github: GitHub
Report issues, request features, and contribute to the codebase
Visit Repository →{target="_blank" rel="noopener noreferrer"}
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:material-forum: Discussions
Ask questions and share your projects with the community
Join Discussion →{target="_blank" rel="noopener noreferrer"}
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:material-book-open-page-variant: Contributing
Help improve FlixOpt by contributing code, docs, or examples
Learn How →{target="_blank" rel="noopener noreferrer"}
!!! tip "What's New in v3.0.0" Major improvements and breaking changes. Check the Migration Guide for upgrading from v2.x.
📋 See the full Release Notes for detailed version history.
{% include-markdown "../README.md" start="## 🛠️ Installation" end="## 📄 License" %}