Comparison
langchain vs langchain4j
Verdict
Pick langchain if langChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development; 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.
Markdown twin · langchain alternatives · langchain4j alternatives
GraphCanon updated Sep 30, 2026
17views this month
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Trust & integrity
| Signal | langchain | langchain4j |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- langchain
- The agent engineering platform.
- langchain4j
- Java library for building LLM-powered applications on the JVM
Stars
- langchain
- 147k
- langchain4j
- 13k
Forks
- langchain
- 25k
- langchain4j
- 2.5k
Open issues
- langchain
- 541
- langchain4j
- 903
Language
- langchain
- Python
- langchain4j
- Java
Adopt for
- langchain
- LangChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development.
- 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
Persona
- langchain
- -
- langchain4j
- -
Runtime
- langchain
- -
- langchain4j
- -
License
- langchain
- MIT
- langchain4j
- Apache-2.0
Last pushed
- langchain
- Sep 18, 2026
- langchain4j
- Sep 7, 2026
Categories
- langchain
- AI Agents, LLM Frameworks
- langchain4j
- LLM Frameworks, Vector Databases
Trust and health
Open issues (now)
- langchain
- 541
- langchain4j
- 903
Stars delta
- langchain
- +3.0k (30d)
- langchain4j
- +226 (30d)
Open issues delta
- langchain
- +78 (30d)
- langchain4j
- +11 (30d)
Full report
- langchain
- Trust report
- langchain4j
- Trust report
Typed relationship
langchain alternative langchain4jLangChain focuses on Python, whereas langchain4j provides similar functionality for JVM applications in Java.
Choose langchain if…
- langchain is primarily Python; langchain4j is Java.
- License: langchain is MIT, langchain4j is Apache-2.0.
- LangChain focuses on Python, whereas langchain4j provides similar functionality for JVM applications in Java.
- Tags unique to langchain: agents, ai-agents, framework, langchain.
- Also covers AI Agents.
- When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
When NOT to use langchain
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features.
- When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
Choose langchain4j if…
- langchain4j is primarily Java; langchain is Python.
- License: langchain4j is Apache-2.0, langchain is MIT.
- LangChain focuses on Python, whereas langchain4j provides similar functionality for JVM applications in Java.
- Tags unique to langchain4j: anthropic, chatgpt, chroma, embeddings.
- Also covers Vector Databases.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain-ai/langchain) · observed Sep 20, 2026
- GitHub forks (langchain-ai/langchain) · observed Sep 20, 2026
- Last push (langchain-ai/langchain) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (langchain4j/langchain4j) · observed Sep 20, 2026
- GitHub forks (langchain4j/langchain4j) · observed Sep 20, 2026
- Last push (langchain4j/langchain4j) · observed Sep 7, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 147k · langchain4j 13k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain and langchain4j?
- langchain: The agent engineering platform.. langchain4j: Java library for building LLM-powered applications on the JVM. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over langchain4j?
- Choose langchain over langchain4j when langchain is primarily Python; langchain4j is Java; License: langchain is MIT, langchain4j is Apache-2.0; LangChain focuses on Python, whereas langchain4j provides similar functionality for JVM applications in Java; Tags unique to langchain: agents, ai-agents, framework, langchain; Also covers AI Agents; When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
- When should I choose langchain4j over langchain?
- Choose langchain4j over langchain when langchain4j is primarily Java; langchain is Python; License: langchain4j is Apache-2.0, langchain is MIT; LangChain focuses on Python, whereas langchain4j provides similar functionality for JVM applications in Java; Tags unique to langchain4j: anthropic, chatgpt, chroma, embeddings; Also covers Vector Databases; If you are working in a Java environment and aim to integrate Large Language Models into your applications.
- When should I avoid langchain?
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features. When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
- 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
- Is langchain or langchain4j more popular on GitHub?
- langchain has more GitHub stars (146,576 vs 13,039). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and langchain4j open source?
- Yes - both are open-source projects on GitHub (langchain: MIT, langchain4j: Apache-2.0).
- Where can I find alternatives to langchain or langchain4j?
- GraphCanon lists graph-backed alternatives at langchain alternatives and langchain4j alternatives (langchain markdown twin, langchain4j 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, langchain or langchain4j?
- langchain: Very active. langchain4j: Very active. 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 langchain and langchain4j?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; langchain4j trust report.