--- title: "dolphinscheduler vs langflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-dolphinscheduler-vs-langflow-ai-langflow" tools: ["apache-dolphinscheduler", "langflow-ai-langflow"] --- # dolphinscheduler vs langflow *GraphCanon updated Jul 15, 2026* ## Verdict Pick dolphinscheduler when dolphinscheduler is primarily Java; langflow is Python; pick langflow when langflow is primarily Python; dolphinscheduler is Java. [dolphinscheduler](https://dolphinscheduler.apache.org/) reports 14k GitHub stars, 5.1k forks, and 127 open issues, last pushed Jul 15, 2026. [langflow](http://www.langflow.org) has 152k stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [dolphinscheduler's repository](https://github.com/apache/dolphinscheduler) and [langflow's repository](https://github.com/langflow-ai/langflow). | | [dolphinscheduler](/tools/apache-dolphinscheduler.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Tagline | Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | | Stars | 14,368 | 151,697 | | Forks | 5,057 | 9,654 | | Open issues | 127 | 975 | | Language | Java | Python | | Adopt for | - | Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dolphinscheduler](/tools/apache-dolphinscheduler.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Open issues (now) | 127 | 975 | | Full report | [trust report](/tools/apache-dolphinscheduler/trust.md) | [trust report](/tools/langflow-ai-langflow/trust.md) | ## Shared compatibility - **Python**: [dolphinscheduler](/tools/apache-dolphinscheduler.md) - Python runtime; [langflow](/tools/langflow-ai-langflow.md) - Python runtime ## Decision facts: langflow - **Adopt for:** Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. ## Choose when ### Choose dolphinscheduler if… - dolphinscheduler is primarily Java; langflow is Python. - License: dolphinscheduler is Apache-2.0, langflow is MIT. - Tags unique to dolphinscheduler: airflow, azkaban, cloud-native, data-pipelines. - Also covers LLM Frameworks. ### Choose langflow if… - langflow is primarily Python; dolphinscheduler is Java. - License: langflow is MIT, dolphinscheduler is Apache-2.0. - Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models. - - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ## 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. ## When NOT to use langflow - - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot ## Common questions ### What is the difference between dolphinscheduler and langflow? dolphinscheduler: Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code. langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dolphinscheduler over langflow? Choose dolphinscheduler over langflow when dolphinscheduler is primarily Java; langflow is Python; License: dolphinscheduler is Apache-2.0, langflow is MIT; Tags unique to dolphinscheduler: airflow, azkaban, cloud-native, data-pipelines; Also covers LLM Frameworks. ### When should I choose langflow over dolphinscheduler? Choose langflow over dolphinscheduler when langflow is primarily Python; dolphinscheduler is Java; License: langflow is MIT, dolphinscheduler is Apache-2.0; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ### 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 langflow? - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot ### Is dolphinscheduler or langflow more popular on GitHub? langflow has more GitHub stars (151,697 vs 14,368). Stars measure visibility, not whether either tool fits your constraints. ### Are dolphinscheduler and langflow open source? Yes - both are open-source projects on GitHub (dolphinscheduler: Apache-2.0, langflow: MIT). ### Where can I find alternatives to dolphinscheduler or langflow? GraphCanon lists graph-backed alternatives at [dolphinscheduler alternatives](/tools/apache-dolphinscheduler/alternatives) and [langflow alternatives](/tools/langflow-ai-langflow/alternatives) ([dolphinscheduler markdown twin](/tools/apache-dolphinscheduler/alternatives.md), [langflow markdown twin](/tools/langflow-ai-langflow/alternatives.md)), 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](/compare/apache-dolphinscheduler-vs-langflow-ai-langflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dolphinscheduler or langflow? dolphinscheduler: Very active. langflow: 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 langflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dolphinscheduler trust report](/tools/apache-dolphinscheduler/trust); [langflow trust report](/tools/langflow-ai-langflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-dolphinscheduler`](/api/graphcanon/graph?tool=apache-dolphinscheduler) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_