DeepPavlov
An open-source deep learning library for building end-to-end dialogue systems and chatbots.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 7.0k
- Source
- GitHub
- Added
- 2026-06-05
- Last verified
- 2026-06-05
Overview
DeepPavlov is an open-source NLP framework based on PyTorch and transformers, designed for building end-to-end dialogue systems and chatbots. It supports various NLP applications through a modular and configuration-driven approach, making it accessible to practitioners with limited NLP/ML knowledge. Users can train, evaluate, and perform inference on pre-trained models via command-line interface or Python code.
Key features
- ▪Supports multiple NLP applications
- ▪Modular and configuration-driven development
- ▪Provides a large number of pre-trained models
- ▪Compatible with multiple Python versions
Use cases
Pros
- ＋Easy to get started
- ＋Rich documentation resources
- ＋Active community support
Limitations / notes
- －Requires certain hardware requirements
- －Some features depend on CUDA
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How do I install DeepPavlov?
Execute pip install deeppavlov in a virtual environment.
Which platforms does DeepPavlov support?
Supports Linux, Windows 10+, MacOS (Big Sur+).
Something wrong? Let us know on the About page and we'll fix it.