head to head · open source

dagster vs langchain4j

dagster has 16,168 GitHub stars, 2,294 forks, 2,589 open issues and last shipped today. langchain4j has 13,121 stars, 2,557 forks, 878 open issues and last shipped 2 days ago. dagster leads on adoption by 23% (16,168 vs 13,121 stars). dagster is written in Python under Apache-2.0; langchain4j is written in Java under Apache-2.0. dagster has attracted 14% as many forks as stars, langchain4j 19%. dagster was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

dagster ★ 16K langchain4j ★ 13K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

dagster langchain4j
GitHub stars ★ 16K ★ 13K
License Apache-2.0 Apache-2.0
Written in Python Java
Last push 2026-09-18 2026-09-16
Forks ⑂ 2.3K ⑂ 2.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick dagster if

  • You weight community size — 16K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full dagster profile →

pick langchain4j if

  • You want the langchain4j feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and langchain4j fits your workflow better

full langchain4j profile →

About dagster

Dagster is a cloud native data pipeline orchestrator written in Python and released under the Apache 2.0 licence, built for data engineers, data scientists, and machine learning teams who declare the tables, data sets, models, and reports their pipelines should produce and need those assets tested, observable, and kept up to date from local development through production.

read the full dagster overview →

About langchain4j

LangChain4j is an Apache 2.0, open source, idiomatic Java library for building LLM powered applications on the JVM, aimed at Java developers and enterprise teams who want one unified API over many LLM providers and embedding stores without leaving the Java ecosystem.

read the full langchain4j overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

dagster vs Ollama dagster vs llama.cpp dagster vs vllm dagster vs GPT4All dagster vs llama_index dagster vs LocalAI dagster vs PageIndex dagster vs Langfuse dagster vs cognee dagster vs taipy dagster vs zvec dagster vs txtai

Frequently asked questions

Is dagster or langchain4j more popular?

dagster has 16,168 GitHub stars and langchain4j has 13,121. dagster has the larger community by that measure.

Are dagster and langchain4j free?

Both are open source. dagster is licensed under Apache-2.0 and langchain4j under Apache-2.0. Neither carries a licence fee.

What is the difference between dagster and langchain4j?

dagster is written in Python and langchain4j in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, dagster or langchain4j?

Choose dagster if you want the larger community (16,168 stars) or its Apache-2.0 licence terms. Choose langchain4j if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.