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minor doc index fixes
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docs/src/index.md

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@@ -97,17 +97,21 @@ Because ModelingToolkit.jl is the core foundation of a equation-based modeling
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ecosystem, there is a large set of libraries adding features to this system.
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Below is an incomplete list of extension libraries one may want to be aware of:
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- [Catalyst.jl](https://github.com/SciML/Catalyst.jl): Symbolic representations of chemical reactions
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- [Catalyst.jl](https://github.com/SciML/Catalyst.jl): Symbolic representations
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of chemical reactions
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- Symbolically build and represent large systems of chemical reactions
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- Generate code for ODEs, SDEs, continuous-time Markov Chains, and more
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- Simulate the models using the SciML ecosystem with O(1) Gillespie methods
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- [DataDrivenDiffEq.jl](https://github.com/SciML/DataDrivenDiffEq.jl): Automatic identification of equations from data
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- [DataDrivenDiffEq.jl](https://github.com/SciML/DataDrivenDiffEq.jl): Automatic
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identification of equations from data
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- Automated construction of ODEs and DAEs from data
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- Representations of Koopman operators and Dynamic Mode Decomposition (DMD)
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- [MomentClosure.jl](https://github.com/augustinas1/MomentClosure.jl): Automatic transformation of ReactionSystems into deterministic systems
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- [MomentClosure.jl](https://github.com/augustinas1/MomentClosure.jl): Automatic
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transformation of ReactionSystems into deterministic systems
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- Generates ODESystems for the moment closures
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- Allows for geometrically-distributed random reaction rates
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- [ReactionMechanismSimulator.jl](https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl): simulating and analyzing large chemical reaction mechanisms
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- [ReactionMechanismSimulator.jl](https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl):
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simulating and analyzing large chemical reaction mechanisms
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- Ideal gas and dilute liquid phases.
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- Constant T and P and constant V adiabatic ideal gas reactors.
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- Constant T and V dilute liquid reactors.
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system:
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- [DifferentialEquations.jl](https://diffeq.sciml.ai/stable/)
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- Multi-package interface of high performance numerical solvers for `ODESystem`, `SDESystem`, and `JumpSystem`
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- Multi-package interface of high performance numerical solvers for `ODESystem`,
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`SDESystem`, and `JumpSystem`
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- [NonlinearSolve.jl](https://github.com/JuliaComputing/NonlinearSolve.jl)
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- High performance numerical solving of `NonlinearSystem`
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- [GalacticOptim.jl](https://github.com/SciML/GalacticOptim.jl)
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## Contributing
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- Please refer to the [SciML ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://github.com/SciML/ColPrac/blob/master/README.md) for guidance on PRs, issues, and other matters relating to contributing to ModelingToolkit.
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- Please refer to the
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[SciML ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://github.com/SciML/ColPrac/blob/master/README.md)
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for guidance on PRs, issues, and other matters relating to contributing to ModelingToolkit.
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- There are a few community forums:
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- The #diffeq-bridged channel in the [Julia Slack](https://julialang.org/slack/)
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- [JuliaDiffEq](https://gitter.im/JuliaDiffEq/Lobby) on Gitter

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