These benchmarks serve two purposes:

1. Thorough performance tests against regression
   • tqdm
   • tqdm(miniters=manually_optimised, smoothing=0)
   • no-progress (empty loop without progress wrapper)
2. Compare tqdm's speed to popular alternatives
   • rich.progress
   • progressbar2
   • alive-progress

Performance graphs are available at https://tqdm.github.io/tqdm/

These benchmarks are run automatically for all releases and pull requests.

To run locally:

• conda/pip install virtualenv and asv
• clone this repository
• run asv --help in the repository root (one directory above this file)