spacy-llm — Agent Tool by explosion

by explosion · Agent Tool · ★ 1.4k

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About spacy-llm

🦙 Integrating LLMs into structured NLP pipelines

anthropicclaudecoheredollyfalcongpt-3gpt-4large-language-modelsllamallm

Quick Facts

Stars1,377
Forks106
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score37.75/100
Open Issues47
Last Updated2026-03-27
Created2023-03-16
Platformsclaude-code, python
Est. Tokens~123k

Compatible Skills

These tools work well together with spacy-llm for enhanced workflows:

  • LLM-Tools — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • claude-code-gpt-5-codex — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • vllm-mlx — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • minecraft-mcp-server — semantic(0.20)+complementary+rare_topics+similar_pop+shared_platform (47%)
  • Machine-Learning-Guide — semantic(0.32)+rare_topics+same_lang+similar_pop+shared_platform (46%)

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Looking for a spacy-llm alternative? If you're comparing spacy-llm with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is spacy-llm?

spacy-llm is 🦙 Integrating LLMs into structured NLP pipelines. It is categorized as a Agent Tool with 1.4k GitHub stars.

What programming language is spacy-llm written in?

spacy-llm is primarily written in Python. It covers topics such as anthropic, claude, cohere.

How do I install or use spacy-llm?

You can find installation instructions and usage details in the spacy-llm GitHub repository at github.com/explosion/spacy-llm. The project has 1.4k stars and 106 forks, indicating an active community.

What license does spacy-llm use?

spacy-llm is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to spacy-llm?

The top alternatives to spacy-llm on Agent Skills Hub include ax, aide, dialoqbase. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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