Comparison
langchain4j vs llm-python
Verdict
Pick langchain4j if langChain4j is a Java library for building applications utilizing Large Language Models (LLMs) on the JVM. It provides a unified API over various LLM providers and vector stores to simplify tool calling, agent creation,R; pick llm-python if jupyter Notebook tutorials and scripts for working with LangChain, OpenAI API, llamaindex, GPT models, ChromaDB, and Pinecone.
Markdown twin · langchain4j alternatives · llm-python alternatives
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Trust & integrity
| Signal | langchain4j | llm-python |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1w · github_public_v1 | Slowing (181d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- langchain4j
- Java library for building LLM-powered applications on the JVM
- llm-python
- LLM tutorials and scripts covering langchain, openai, llamaindex, GPT, ChromaDB, Pinecone
Stars
- langchain4j
- 13k
- llm-python
- 927
Forks
- langchain4j
- 2.4k
- llm-python
- 316
Open issues
- langchain4j
- 892
- llm-python
- 0
Language
- langchain4j
- Java
- llm-python
- Jupyter Notebook
Adopt for
- langchain4j
- LangChain4j is a Java library for building applications utilizing Large Language Models (LLMs) on the JVM. It provides a unified API over various LLM providers and vector stores to simplify tool calling, agent creation,R
- llm-python
- Jupyter Notebook tutorials and scripts for working with LangChain, OpenAI API, llamaindex, GPT models, ChromaDB, and Pinecone.
Persona
- langchain4j
- -
- llm-python
- -
Runtime
- langchain4j
- -
- llm-python
- -
License
- langchain4j
- Apache-2.0
- llm-python
- MIT
Last pushed
- langchain4j
- Aug 6, 2026
- llm-python
- Feb 20, 2026
Categories
- langchain4j
- LLM Frameworks, Vector Databases
- llm-python
- LLM Frameworks, Vector Databases
Trust and health
Maintenance
- langchain4j
- Very active (96%)
- llm-python
- Slowing (36%)
Days since push
- langchain4j
- 1d
- llm-python
- 181d
Open issues (now)
- langchain4j
- 892
- llm-python
- 0
Stars delta
- langchain4j
- +265 (30d)
- llm-python
- +1 (30d)
Open issues delta
- langchain4j
- +108 (30d)
- llm-python
- 0 (30d)
Owner type
- langchain4j
- Organization
- llm-python
- User
OSV dependency advisories
- langchain4j
- No lockfile (source not queried)
- llm-python
- Published findings
Full report
- langchain4j
- Trust report
- llm-python
- Trust report
Choose langchain4j if…
- langchain4j is primarily Java; llm-python is Jupyter Notebook.
- License: langchain4j is Apache-2.0, llm-python is MIT.
- Tags unique to langchain4j: anthropic, chatgpt, chroma, embeddings.
- If you are working in a Java environment and aim to integrate Large Language Models into your applications
When NOT to use langchain4j
- Avoid if your project exclusively uses languages other than Java, as LangChain4j is specifically designed for Java-based projects on the JVM
- If you require a framework that heavily supports non-JVM based large language models and doesn't integrate well with modern enterprise Java frameworks like Quarkus or Spring Boot
Choose llm-python if…
- llm-python is primarily Jupyter Notebook; langchain4j is Java.
- License: llm-python is MIT, langchain4j is Apache-2.0.
- Tags unique to llm-python: chromadb, gpt-3, langchain, llama-index.
- When you want comprehensive Jupyter-based tutorials on integrating multiple LLM tools including OpenAI and LangChain.
When NOT to use llm-python
- Avoid if you require a purely code-library without tutorial-like content in Jupyter Notebooks.
- Not suitable if your project strictly demands proprietary or closed-access LLM tools not covered in the repo, like those beyond OpenAI and LangChain.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain4j/langchain4j) · observed Aug 8, 2026
- GitHub forks (langchain4j/langchain4j) · observed Aug 8, 2026
- Last push (langchain4j/langchain4j) · observed Aug 6, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (onlyphantom/llm-python) · observed Aug 21, 2026
- GitHub forks (onlyphantom/llm-python) · observed Aug 21, 2026
- Last push (onlyphantom/llm-python) · observed Feb 20, 2026
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain4j 13k · llm-python 927 (synced Aug 8, 2026).
Common questions
- What is the difference between langchain4j and llm-python?
- langchain4j: Java library for building LLM-powered applications on the JVM. llm-python: LLM tutorials and scripts covering langchain, openai, llamaindex, GPT, ChromaDB, Pinecone. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain4j over llm-python?
- Choose langchain4j over llm-python when langchain4j is primarily Java; llm-python is Jupyter Notebook; License: langchain4j is Apache-2.0, llm-python is MIT; Tags unique to langchain4j: anthropic, chatgpt, chroma, embeddings; If you are working in a Java environment and aim to integrate Large Language Models into your applications.
- When should I choose llm-python over langchain4j?
- Choose llm-python over langchain4j when llm-python is primarily Jupyter Notebook; langchain4j is Java; License: llm-python is MIT, langchain4j is Apache-2.0; Tags unique to llm-python: chromadb, gpt-3, langchain, llama-index; When you want comprehensive Jupyter-based tutorials on integrating multiple LLM tools including OpenAI and LangChain.
- When should I avoid langchain4j?
- Avoid if your project exclusively uses languages other than Java, as LangChain4j is specifically designed for Java-based projects on the JVM If you require a framework that heavily supports non-JVM based large language models and doesn't integrate well with modern enterprise Java frameworks like Quarkus or Spring Boot
- When should I avoid llm-python?
- Avoid if you require a purely code-library without tutorial-like content in Jupyter Notebooks. Not suitable if your project strictly demands proprietary or closed-access LLM tools not covered in the repo, like those beyond OpenAI and LangChain.
- Is langchain4j or llm-python more popular on GitHub?
- langchain4j has more GitHub stars (12,813 vs 927). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain4j and llm-python open source?
- Yes - both are open-source projects on GitHub (langchain4j: Apache-2.0, llm-python: MIT).
- Where can I find alternatives to langchain4j or llm-python?
- GraphCanon lists graph-backed alternatives at langchain4j alternatives and llm-python alternatives (langchain4j markdown twin, llm-python markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, langchain4j or llm-python?
- langchain4j: Very active. llm-python: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for langchain4j and llm-python?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain4j trust report; llm-python trust report.