--- title: "awesome-open-mlops vs langflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fuzzylabs-awesome-open-mlops-vs-langflow-ai-langflow" tools: ["fuzzylabs-awesome-open-mlops", "langflow-ai-langflow"] --- # awesome-open-mlops vs langflow *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-open-mlops when license: awesome-open-mlops is Apache-2.0, langflow is MIT; pick langflow when license: langflow is MIT, awesome-open-mlops is Apache-2.0. [awesome-open-mlops](https://github.com/fuzzylabs/awesome-open-mlops) reports 482 GitHub stars, 54 forks, and 6 open issues, last pushed May 19, 2025. [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 [awesome-open-mlops's repository](https://github.com/fuzzylabs/awesome-open-mlops) and [langflow's repository](https://github.com/langflow-ai/langflow). | | [awesome-open-mlops](/tools/fuzzylabs-awesome-open-mlops.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Tagline | The Fuzzy Labs guide to the universe of open source MLOps | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | | Stars | 482 | 151,697 | | Forks | 54 | 9,654 | | Open issues | 6 | 975 | | Language | - | 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, Model Training | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-open-mlops](/tools/fuzzylabs-awesome-open-mlops.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 418d | 0d | | Open issues (now) | 6 | 975 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/fuzzylabs-awesome-open-mlops/trust.md) | [trust report](/tools/langflow-ai-langflow/trust.md) | ## 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 awesome-open-mlops if… - License: awesome-open-mlops is Apache-2.0, langflow is MIT. - Tags unique to awesome-open-mlops: datascience, devops, infrastructure, machine-learning. - Also covers Model Training. ### Choose langflow if… - License: langflow is MIT, awesome-open-mlops 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 awesome-open-mlops - Last GitHub push was 419 days ago (dormant maintenance, May 19, 2025). Validate activity before betting a new project on awesome-open-mlops. - 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. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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旖 ## Common questions ### What is the difference between awesome-open-mlops and langflow? awesome-open-mlops: The Fuzzy Labs guide to the universe of open source MLOps. 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 awesome-open-mlops over langflow? Choose awesome-open-mlops over langflow when License: awesome-open-mlops is Apache-2.0, langflow is MIT; Tags unique to awesome-open-mlops: datascience, devops, infrastructure, machine-learning; Also covers Model Training. ### When should I choose langflow over awesome-open-mlops? Choose langflow over awesome-open-mlops when License: langflow is MIT, awesome-open-mlops 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 awesome-open-mlops? Last GitHub push was 419 days ago (dormant maintenance, May 19, 2025). Validate activity before betting a new project on awesome-open-mlops. 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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旖 ### Is awesome-open-mlops or langflow more popular on GitHub? langflow has more GitHub stars (151,697 vs 482). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-open-mlops and langflow open source? Yes - both are open-source projects on GitHub (awesome-open-mlops: Apache-2.0, langflow: MIT). ### Where can I find alternatives to awesome-open-mlops or langflow? GraphCanon lists graph-backed alternatives at [awesome-open-mlops alternatives](/tools/fuzzylabs-awesome-open-mlops/alternatives) and [langflow alternatives](/tools/langflow-ai-langflow/alternatives) ([awesome-open-mlops markdown twin](/tools/fuzzylabs-awesome-open-mlops/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/fuzzylabs-awesome-open-mlops-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, awesome-open-mlops or langflow? awesome-open-mlops: Dormant. 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 awesome-open-mlops and langflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-open-mlops trust report](/tools/fuzzylabs-awesome-open-mlops/trust); [langflow trust report](/tools/langflow-ai-langflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fuzzylabs-awesome-open-mlops`](/api/graphcanon/graph?tool=fuzzylabs-awesome-open-mlops) - 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/_