Home/Compare/dolphinscheduler vs langchain

Comparison

dolphinscheduler vs langchain

Verdict

Pick dolphinscheduler when dolphinscheduler is primarily Java; langchain is Python; pick langchain when langchain is primarily Python; dolphinscheduler is Java.

Markdown twin · dolphinscheduler alternatives · langchain alternatives

GraphCanon updated today

dolphinscheduler logo

dolphinscheduler

apache/dolphinscheduler

14kpushed Jul 15, 2026
vs
langchain logo

langchain

langchain-ai/langchain

142kpushed Jul 14, 2026

Trust & integrity

Signaldolphinschedulerlangchain
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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

dolphinscheduler
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
langchain
The agent engineering platform.

Stars

dolphinscheduler
14k
langchain
142k

Forks

dolphinscheduler
5.1k
langchain
24k

Open issues

dolphinscheduler
127
langchain
419

Language

dolphinscheduler
Java
langchain
Python

Adopt for

dolphinscheduler
-
langchain
LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect

Persona

dolphinscheduler
-
langchain
-

Runtime

dolphinscheduler
-
langchain
-

License

dolphinscheduler
Apache-2.0
langchain
MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.

Last pushed

dolphinscheduler
Jul 15, 2026
langchain
Jul 14, 2026

Categories

dolphinscheduler
AI Agents, Inference & Serving, LLM Frameworks
langchain
AI Agents, LLM Frameworks

Trust and health

Open issues (now)

dolphinscheduler
127
langchain
419

Full report

dolphinscheduler
Trust report
langchain
Trust report

Shared compatibility

  • Python · dolphinscheduler: Python runtime · langchain: Python runtime

Choose dolphinscheduler if…

  • dolphinscheduler is primarily Java; langchain is Python.
  • License: dolphinscheduler is Apache-2.0, langchain is MIT.
  • Tags unique to dolphinscheduler: airflow, azkaban, cloud-native, data-pipelines.
  • Also covers Inference & Serving.

When NOT to use dolphinscheduler

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose langchain if…

  • langchain is primarily Python; dolphinscheduler is Java.
  • License: langchain is MIT, dolphinscheduler is Apache-2.0.
  • Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
  • Tags unique to langchain: agents, ai-agents, anthropic, chatgpt.
  • * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.

When NOT to use langchain

  • * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
  • * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
  • * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dolphinscheduler 14k · langchain 142k (synced Jul 15, 2026).

Common questions

What is the difference between dolphinscheduler and langchain?
dolphinscheduler: Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
When should I choose dolphinscheduler over langchain?
Choose dolphinscheduler over langchain when dolphinscheduler is primarily Java; langchain is Python; License: dolphinscheduler is Apache-2.0, langchain is MIT; Tags unique to dolphinscheduler: airflow, azkaban, cloud-native, data-pipelines; Also covers Inference & Serving.
When should I choose langchain over dolphinscheduler?
Choose langchain over dolphinscheduler when langchain is primarily Python; dolphinscheduler is Java; License: langchain is MIT, dolphinscheduler is Apache-2.0; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
When should I avoid dolphinscheduler?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid langchain?
* When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
Is dolphinscheduler or langchain more popular on GitHub?
langchain has more GitHub stars (141,713 vs 14,368). Stars measure visibility, not whether either tool fits your constraints.
Are dolphinscheduler and langchain open source?
Yes - both are open-source projects on GitHub (dolphinscheduler: Apache-2.0, langchain: MIT).
Where can I find alternatives to dolphinscheduler or langchain?
GraphCanon lists graph-backed alternatives at dolphinscheduler alternatives and langchain alternatives (dolphinscheduler markdown twin, langchain 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, dolphinscheduler or langchain?
dolphinscheduler: Very active. langchain: 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 dolphinscheduler and langchain?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dolphinscheduler trust report; langchain trust report.

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