NCRF++ is a configurable neural sequence labeling framework built on PyTorch. It provides ready-made implementations of character-level LSTM/CNN encoders, word-level LSTM encoders, and output layers including softmax and CRF. Users define model architectures through configuration files without writing code. The toolkit is designed for NLP sequence labeling tasks such as Named Entity Recognition, part-of-speech tagging, and Chinese word segmentation.