--- title: "comet-examples vs wandb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/comet-ml-comet-examples-vs-wandb-wandb" tools: ["comet-ml-comet-examples", "wandb-wandb"] --- # comet-examples vs wandb *GraphCanon updated Aug 3, 2026* ## Verdict Pick comet-examples if comet-examples is a collection of machine learning code demonstrations using Comet.ml. It focuses on deep learning algorithms and libraries, providing examples in Jupyter Notebook format; pick wandb if wandb excels in streamlined experiment tracking and model versioning across multiple machine learning frameworks. [comet-examples](https://github.com/comet-ml/comet-examples) reports 176 GitHub stars, 67 forks, and 26 open issues, last pushed Jul 28, 2026. [wandb](https://wandb.ai) has 11k stars, 880 forks, and 906 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [comet-examples's repository](https://github.com/comet-ml/comet-examples) and [wandb's repository](https://github.com/wandb/wandb). | | [comet-examples](/tools/comet-ml-comet-examples.md) | [wandb](/tools/wandb-wandb.md) | | --- | --- | --- | | Tagline | Examples of Machine Learning code using Comet.ml | Weights & Biases platform for model training and management | | Stars | 176 | 11,213 | | Forks | 67 | 880 | | Open issues | 26 | 906 | | Language | Jupyter Notebook | Python | | Adopt for | Comet-examples is a collection of machine learning code demonstrations using Comet.ml. It focuses on deep learning algorithms and libraries, providing examples in Jupyter Notebook format. | wandb excels in streamlined experiment tracking and model versioning across multiple machine learning frameworks. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability, Model Training | Evaluation & Observability, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [comet-examples](/tools/comet-ml-comet-examples.md) | [wandb](/tools/wandb-wandb.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 26 | 906 | | Full report | [trust report](/tools/comet-ml-comet-examples/trust.md) | [trust report](/tools/wandb-wandb/trust.md) | ## Shared compatibility - **Python**: [comet-examples](/tools/comet-ml-comet-examples.md) - Python runtime; [wandb](/tools/wandb-wandb.md) - Python runtime ## Decision facts: comet-examples - **Adopt for:** Comet-examples is a collection of machine learning code demonstrations using Comet.ml. It focuses on deep learning algorithms and libraries, providing examples in Jupyter Notebook format. ## Decision facts: wandb - **Adopt for:** wandb excels in streamlined experiment tracking and model versioning across multiple machine learning frameworks. ## Choose when ### Choose comet-examples if… - comet-examples is primarily Jupyter Notebook; wandb is Python. - Tags unique to comet-examples: comet-ml, deep-learning-algorithms, machine-learning-platform, python. - When you are working with deep learning frameworks such as PyTorch or TensorFlow and want to integrate Comet.ml for experiment tracking and model management. ### Choose wandb if… - wandb is primarily Python; comet-examples is Jupyter Notebook. - Tags unique to wandb: ai, collaboration, deep-learning, hyperparameter-optimization. - Need extensive collaboration features for teams working on deep-learning projects ## When NOT to use comet-examples - If you are looking for a tool without third-party dependencies, as Comet-examples necessitates the use of Comet.ml which requires registration. - Avoid using this repository if your project does not need advanced experiment management features and simple code examples would suffice. ## When NOT to use wandb - Looking for a lightweight solution without extensive collaboration features - Focusing on simple models where detailed experiment tracking is unnecessary - Operating within environments that strictly forbid third-party hosting solutions ## Common questions ### What is the difference between comet-examples and wandb? comet-examples: Examples of Machine Learning code using Comet.ml. wandb: Weights & Biases platform for model training and management. See the comparison table for live GitHub stats and shared categories. ### When should I choose comet-examples over wandb? Choose comet-examples over wandb when comet-examples is primarily Jupyter Notebook; wandb is Python; Tags unique to comet-examples: comet-ml, deep-learning-algorithms, machine-learning-platform, python; When you are working with deep learning frameworks such as PyTorch or TensorFlow and want to integrate Comet.ml for experiment tracking and model management. ### When should I choose wandb over comet-examples? Choose wandb over comet-examples when wandb is primarily Python; comet-examples is Jupyter Notebook; Tags unique to wandb: ai, collaboration, deep-learning, hyperparameter-optimization; Need extensive collaboration features for teams working on deep-learning projects. ### When should I avoid comet-examples? If you are looking for a tool without third-party dependencies, as Comet-examples necessitates the use of Comet.ml which requires registration. Avoid using this repository if your project does not need advanced experiment management features and simple code examples would suffice. ### When should I avoid wandb? Looking for a lightweight solution without extensive collaboration features Focusing on simple models where detailed experiment tracking is unnecessary Operating within environments that strictly forbid third-party hosting solutions ### Is comet-examples or wandb more popular on GitHub? wandb has more GitHub stars (11,213 vs 176). Stars measure visibility, not whether either tool fits your constraints. ### Are comet-examples and wandb open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to comet-examples or wandb? GraphCanon lists graph-backed alternatives at [comet-examples alternatives](/tools/comet-ml-comet-examples/alternatives) and [wandb alternatives](/tools/wandb-wandb/alternatives) ([comet-examples markdown twin](/tools/comet-ml-comet-examples/alternatives.md), [wandb markdown twin](/tools/wandb-wandb/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/comet-ml-comet-examples-vs-wandb-wandb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, comet-examples or wandb? comet-examples: Very active. wandb: 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 comet-examples and wandb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [comet-examples trust report](/tools/comet-ml-comet-examples/trust); [wandb trust report](/tools/wandb-wandb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=comet-ml-comet-examples`](/api/graphcanon/graph?tool=comet-ml-comet-examples) - 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/_