--- title: "clearml vs zenml" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/clearml-clearml-vs-zenml-io-zenml" tools: ["clearml-clearml", "zenml-io-zenml"] --- # clearml vs zenml *GraphCanon updated Sep 27, 2026* ## Verdict Pick clearml if clearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform; pick zenml if zenML is a comprehensive AI development platform that supports pipelines, agents, and operations from training to deployment, making it suitable for teams that require a unified solution for their AI. [clearml](https://clear.ml/docs) reports 6.9k GitHub stars, 802 forks, and 526 open issues, last pushed Sep 23, 2026. [zenml](https://zenml.io) has 5.6k stars, 656 forks, and 167 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [clearml's repository](https://github.com/clearml/clearml) and [zenml's repository](https://github.com/zenml-io/zenml). | | [clearml](/tools/clearml-clearml.md) | [zenml](/tools/zenml-io-zenml.md) | | --- | --- | --- | | Tagline | MLOps/LLMOps solution for CI/CD in AI workloads | One AI Platform from Pipelines to Agents | | Stars | 6,891 | 5,582 | | Forks | 802 | 656 | | Open issues | 526 | 167 | | Language | Python | Python | | Adopt for | ClearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform. | ZenML is a comprehensive AI development platform that supports pipelines, agents, and operations from training to deployment, making it suitable for teams that require a unified solution for their AI lifecycle management | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training | AI Agents, Developer Tools, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [clearml](/tools/clearml-clearml.md) | [zenml](/tools/zenml-io-zenml.md) | | --- | --- | --- | | Days since push | 3d | 0d | | Open issues (now) | 526 | 167 | | Stars delta | +86 (30d) | +88 (30d) | | Open issues delta | -47 (30d) | +20 (30d) | | Full report | [trust report](/tools/clearml-clearml/trust.md) | [trust report](/tools/zenml-io-zenml/trust.md) | ## Decision facts: clearml - **Adopt for:** ClearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform. ## Decision facts: zenml - **Pricing:** freemium - Open-source under the Apache-2.0 license, with potential enterprise features or support available for a fee - **Requirements:** Min 4 GB RAM; Requires Docker; Installation of ZenML with server capabilities requires additional dependencies - **Adopt for:** ZenML is a comprehensive AI development platform that supports pipelines, agents, and operations from training to deployment, making it suitable for teams that require a unified solution for their AI lifecycle management - **License detail:** Apache-2.0 ## Choose when ### Choose clearml if… - Tags unique to clearml: ai, clearml, control, deeplearning. - When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects - More GitHub stars (6.9k vs 5.6k) - visibility, not fit. ### Choose zenml if… - Pricing: Open-source under the Apache-2.0 license, with potential enterprise features or support available for a fee. - Requirements: Min 4 GB RAM; Requires Docker; Installation of ZenML with server capabilities requires additional dependencies. - Tags unique to zenml: agentops, automl, data-science, genai. - Also covers AI Agents, Developer Tools. - zenml ships Docker support for self-hosted deployment. - When you need a unified platform that supports both pipelines and agents, allowing for seamless integration from training to deployment ## When NOT to use clearml - Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python - Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions ## When NOT to use zenml - If your project only requires a lightweight pipeline solution without the need for agent management or comprehensive lifecycle operations - When you are looking for a platform that focuses solely on a specific aspect of AI development, such as only model training or only deployment, as ZenML offers a broader range of features that might b ## Common questions ### What is the difference between clearml and zenml? clearml: MLOps/LLMOps solution for CI/CD in AI workloads. zenml: One AI Platform from Pipelines to Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose clearml over zenml? Choose clearml over zenml when Tags unique to clearml: ai, clearml, control, deeplearning; When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects; More GitHub stars (6.9k vs 5.6k) - visibility, not fit. ### When should I choose zenml over clearml? Choose zenml over clearml when Pricing: Open-source under the Apache-2.0 license, with potential enterprise features or support available for a fee; Requirements: Min 4 GB RAM; Requires Docker; Installation of ZenML with server capabilities requires additional dependencies; Tags unique to zenml: agentops, automl, data-science, genai; Also covers AI Agents, Developer Tools; zenml ships Docker support for self-hosted deployment; When you need a unified platform that supports both pipelines and agents, allowing for seamless integration from training to deployment. ### When should I avoid clearml? Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions ### When should I avoid zenml? If your project only requires a lightweight pipeline solution without the need for agent management or comprehensive lifecycle operations When you are looking for a platform that focuses solely on a specific aspect of AI development, such as only model training or only deployment, as ZenML offers a broader range of features that might b ### Is clearml or zenml more popular on GitHub? clearml has more GitHub stars (6,891 vs 5,582). Stars measure visibility, not whether either tool fits your constraints. ### Are clearml and zenml open source? Yes - both are open-source projects on GitHub (clearml: Apache-2.0, zenml: Apache-2.0). ### Where can I find alternatives to clearml or zenml? GraphCanon lists graph-backed alternatives at [clearml alternatives](/tools/clearml-clearml/alternatives) and [zenml alternatives](/tools/zenml-io-zenml/alternatives) ([clearml markdown twin](/tools/clearml-clearml/alternatives.md), [zenml markdown twin](/tools/zenml-io-zenml/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/clearml-clearml-vs-zenml-io-zenml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, clearml or zenml? clearml: Very active. zenml: 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 clearml and zenml? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [clearml trust report](/tools/clearml-clearml/trust); [zenml trust report](/tools/zenml-io-zenml/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=clearml-clearml`](/api/graphcanon/graph?tool=clearml-clearml) - 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/_