Industrial-strength Natural Language Processing (NLP) in Python
33.9kstars
4.7kforks
248open issues
2026-09-30last pushed
MITlicense
What it is, and how people use it
Industrial-strength Natural Language Processing (NLP) in Python It sits on the Dev Agents & Programs shelf of the catalog, maintained by @explosion.
✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.
✓Read the SKILL.md / README first; most setups are one command from the docs.
✓Teams use it to standardise how agents behave across every repo in the org.
aiartificial-intelligencecythondata-sciencedeep-learning
spacy.ioWhy builders keep it installedDev Agents & Programs benefits
Day-one leverage
These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.
Composes with your agent
Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.
Built under real workloads
Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.
Free and open source
Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.
Contributorsloading from GitHub…
Languagesestimated from snapshot
- Python 74.0%
- Rust 14.0%
- Shell 12.0%
Community pulsesnapshot ratios, normalized
starsforksissues ×3watchers