# scikit-learn-speed

**Repository Path**: mirrors_scikit-learn/scikit-learn-speed

## Basic Information

- **Project Name**: scikit-learn-speed
- **Description**: Results of scikit-learn asv benchmarks
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-19
- **Last Updated**: 2025-10-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

![.github/workflows/check_last_run.yml](https://github.com/scikit-learn/scikit-learn-benchmarks/workflows/Last%20run/badge.svg)

# scikit-learn-benchmarks

The results of scikit-learn asv benchmarks are automatically published every day on the following dashboard:

https://scikit-learn.org/scikit-learn-benchmarks/

### Major changes

- May 22nd 2023: switch from conda default channel to conda-forge; upgrade Python version from 3.8 to latest. A consequence is that for these benchmarks Scikit-learn now uses OpenBLAS (previously MKL) which explains the discrpency in the timeline.