Fiber-fed spectrographs now dominate ground-based astronomy. Integral-field units map galaxies point by point; multi-object systems place thousands of fibers across a field; the facilities of the next decade will multiply both. Every one of these instruments needs the same reduction: trace the fibers, calibrate wavelength and flux, remove the sky, and assemble the results into spectra or cubes. The software foundation has not kept pace. Much of the community still depends on IRAF, which is no longer developed, is written in a language few can maintain, and requires interactive steps that cannot be scripted or reproduced. The alternative has been a separate pipeline for each instrument, duplicating effort and retiring with the hardware. Meanwhile, expectations have risen: surveys must reduce data unattended for years, archives must reproduce results long after publication, and students must be trained on tools with a future. The gap between what fiber spectroscopy needs and what its software provides is growing.
We developed FIBRA, a Python pipeline that reduces fiber-fed spectroscopy from raw detector frames to calibrated data cubes. One code base serves different instruments: an instrument is described by data files, not by changes to the pipeline. Calibration steps that traditionally required an expert at a cursor run automatically and report their own confidence. Sky subtraction follows instrument signatures across the field instead of assuming a uniform sky. Uncertainties are carried through every stage, and cubes are built within the memory of an ordinary computer. Each step can be run in batch or tuned interactively, and both produce the identical result from the same configuration. Every product records how it was made. The documentation is verified by the software itself and an illustrated guide takes a newcomer from raw data to a first measurement.
The talk will present the design and walk through a complete night of data reduced with the pipeline, from raw frames to a science measurement. We will focus on the decisions that matter beyond this one code: how a single pipeline serves many instruments, how interactive work is made exactly repeatable, and what this experience suggests for the teams now building reduction systems for the coming generation of fiber-fed facilities.