One can use Lyapunov exponents and the classical smooth ergodic theory to address this matter (with additional substantial quantitative information) (see e.g. Computing Lyapunov Exponents , Lyapunov exponent for 2D map?), at fixed points they reduce to the logarithms of eigenvalues of the linearization of the flow (see Lyapunov exponent of a stable p-cycle.).
More generally, two classical theorems in smooth ergodic theory are relevant: theorems of Oseledets and Pesin. Here is a rough description (see https://encyclopediaofmath.org/wiki/Multiplicative_ergodic_theorem, https://encyclopediaofmath.org/wiki/Pesin_theory for further details and references; the connection to the stability theory of ODE's is, assuming the vector field is twice continuously differentiable, by way of the equations of first variation, see https://encyclopediaofmath.org/wiki/Variational_equations).
Let us assume that we have a bounded set invariant under the flow. Then Oseledets' Ergodic Theorem says that for almost all (with respect to any flow-invariant Borel probability measure on the invariant set) initial conditions $x$, there are real numbers $\chi_x^1, \chi_x^2,...,\chi_x^n$ (possibly with multiplicity, here $n$ is the dimension of the configuration space), called the Lyapunov exponents of the flow at $x$, that dictate the exponential rate at which nearby solutions separate from the one uniquely defined by $x$. As mentioned above, if $x$ happens to be a fixed point, then $\chi_x^i=\ln|\lambda_x^i|$, where $\lambda_x^i$ is the $i$th eigenvalue (counted possibly with multiplicity) of the derivative of the time-$1$ map of the flow at $x$. If $x$ is not fixed, there will be at least one zero Lyapunov exponent, coming from the orbit direction (see Lyapunov exponents in bounded systems or Zero Lyapunov exponent for chaotic systems ; this is essentially why I assumed the existence of a bounded invariant set; one could alternatively require the linearization to be log-integrable).
In particular if the first $s$ Lyapunov exponents at $x$ are negative and the remainder are nonnegative, then there are exactly $s$ directions along which the solution defined by $x$ is asymptotically (exponentially) stable. Then Pesin's Stable Manifold Theorem says that there is an embedded open ball $\mathcal{S}_{x,loc}$.in the configuration space, called the local stable manifold of the flow at $x$, centered at $x$ of dimension exactly $s$ such that any solution with initial condition in $\mathcal{S}_{x,loc}$ will converge exponentially fast to the solution defined by $x$ as time goes to infinity. Further, the embedding defining the local stable manifold is twice continuously differentiable.