Asteroid is a research-focused toolkit that provides PyTorch implementations of audio source separation models, supporting various datasets and architectures. It includes pre-trained models and recipes to reproduce published papers. The toolkit enables researchers to quickly experiment with common audio separation benchmarks and develop new separation models.