NEIDSpecMatch: stellar parameter estimation with NEID spectra using an empirical library

We introduce NEIDSpecMatch, a tool developed to extract stellar parameters from spectra obtained with the NEID spectrograph. NEIDSpecMatch is based on SpecMatch-Emp and HPFSpecMatch, which estimate stellar parameters by comparing the observed spectrum to well-characterized library spectra. This approach has proven effective for M dwarfs. Utilizing a library of 78 stellar spectra covering effective temperatures from $3000-6000$ K, NEIDSpecMatch derives key parameters, including effective temperature, metallicity, surface gravity, and projected rotational velocity. Cross-validation shows median uncertainties of ${\sigma }_{T_{\mathrm{e}\mathrm{f}\mathrm{f}}}=115\mathrm{K}$, ${\sigma }_{[\mathrm{F}\mathrm{e}\mathrm{/}\mathrm{H}]}=0.143$, and ${\sigma }_{\log g}=0.073$ across 49 orders. We showcase its application by fitting the spectrum of an M-dwarf and discuss its utility across a wide range of spectra observed with NEID. NEIDSpecMatch is pip-installable.