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@@ -42,7 +42,7 @@ Please see our [documentation](https://juliadiff.org/TaylorDiff.jl) for more det
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-[TaylorSeries.jl](https://github.com/JuliaDiff/TaylorSeries.jl): a systematic treatment of Taylor polynomials in one and several variables, but its mutating and scalar code isn't great for speed and composability with other packages
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-[ForwardDiff.jl](https://github.com/JuliaDiff/ForwardDiff.jl): well-established and robust operator-overloading based forward-mode AD, where higher-order derivatives can be achieved by nesting first-order derivatives
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-[Diffractor.jl](https://github.com/PumasAI/SimpleChains.jl): next-generation source-code transformation based forward-mode and reverse-mode AD, designed with support for higher-order derivatives in mind; but the higher-order functionality is currently only a proof-of-concept
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-[Diffractor.jl](https://github.com/JuliaDiff/Diffractor.jl): next-generation source-code transformation based forward-mode and reverse-mode AD, designed with support for higher-order derivatives in mind; but the higher-order functionality is currently only a proof-of-concept
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-[`jax.jet`](https://jax.readthedocs.io/en/latest/jax.experimental.jet.html): an experimental (and unmaintained) implementation of Taylor-mode automatic differentiation in JAX, sharing the same underlying algorithm with this project
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