# PyExperimenter: Easily distribute experiments and track results

arXiv: https://arxiv.org/abs/2301.06348 · HTML: https://mlsanity.com/paper/2301.06348/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 14 references that are in the map.
- First posted on arXiv 16 Jan 2023.

## Built on by (most cited first, 1 of 1)

- [ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data](https://mlsanity.com/paper/2406.17322/) (2024)

## Abstract (arXiv)

PyExperimenter is a tool to facilitate the setup, documentation, execution, and subsequent evaluation of results from an empirical study of algorithms and in particular is designed to reduce the involved manual effort significantly. It is intended to be used by researchers in the field of artificial intelligence, but is not limited to those.