--- title: "aim vs Spearmint" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aimhubio-aim-vs-hips-spearmint" tools: ["aimhubio-aim", "hips-spearmint"] --- # aim vs Spearmint *GraphCanon updated Aug 4, 2026* ## Verdict Pick aim if aim is an easy-to-use experiment tracker for Python ML projects with robust features like metadata tracking and compatibility with various frameworks; pick Spearmint if a specialized package for performing Bayesian optimization, Spearmint automates experiment running and parameter tuning to minimize objectives efficiently. [aim](https://aimstack.io) reports 6.2k GitHub stars, 401 forks, and 465 open issues, last pushed Jul 27, 2026. [Spearmint](https://github.com/HIPS/Spearmint) has 1.6k stars, 327 forks, and 77 open issues, last pushed Dec 27, 2019. Figures are from public GitHub metadata via [aim's repository](https://github.com/aimhubio/aim) and [Spearmint's repository](https://github.com/HIPS/Spearmint). | | [aim](/tools/aimhubio-aim.md) | [Spearmint](/tools/hips-spearmint.md) | | --- | --- | --- | | Tagline | An easy-to-use & supercharged open-source experiment tracker | Bayesian optimization codebase | | Stars | 6,210 | 1,573 | | Forks | 401 | 327 | | Open issues | 465 | 77 | | Language | Python | Python | | Adopt for | Aim is an easy-to-use experiment tracker for Python ML projects with robust features like metadata tracking and compatibility with various frameworks. | A specialized package for performing Bayesian optimization, Spearmint automates experiment running and parameter tuning to minimize objectives efficiently. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Evaluation & Observability, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aim](/tools/aimhubio-aim.md) | [Spearmint](/tools/hips-spearmint.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 2411d | | Open issues (now) | 465 | 77 | | Full report | [trust report](/tools/aimhubio-aim/trust.md) | [trust report](/tools/hips-spearmint/trust.md) | ## Decision facts: aim - **Adopt for:** Aim is an easy-to-use experiment tracker for Python ML projects with robust features like metadata tracking and compatibility with various frameworks. ## Decision facts: Spearmint - **Adopt for:** A specialized package for performing Bayesian optimization, Spearmint automates experiment running and parameter tuning to minimize objectives efficiently. ## Choose when ### Choose aim if… - License: aim is Apache-2.0, Spearmint is Other. - Tags unique to aim: ai, data-science, experiment tracking, mlflow. - Also covers Evaluation & Observability. - You are working on Python-based machine learning projects and need detailed experiment tracking to manage metadata effectively. ### Choose Spearmint if… - License: Spearmint is Other, aim is Apache-2.0. - Tags unique to Spearmint: automated-experimentation, bayesian-optimization, hyperparameter-tuning. - - When you require automated experimentation with parameters that can be iteratively adjusted ## When NOT to use aim - You prefer comprehensive pre-built integrations with cloud services for MLOps processes that are not natively extensive in Aim. - Your project is primarily coded in languages other than Python; while language versatility might be desired, Aim specifically excels within the Python ecosystem. ## When NOT to use Spearmint - - If your project requires a permissive license as Spearmint operates under an Academic and Non-Commercial Research Use License - - If you need real-time or continuous parameter tuning outside of batch experimentation contexts as Spearmint is suited for controlled experiment setups ## Common questions ### What is the difference between aim and Spearmint? aim: An easy-to-use & supercharged open-source experiment tracker. Spearmint: Bayesian optimization codebase. See the comparison table for live GitHub stats and shared categories. ### When should I choose aim over Spearmint? Choose aim over Spearmint when License: aim is Apache-2.0, Spearmint is Other; Tags unique to aim: ai, data-science, experiment tracking, mlflow; Also covers Evaluation & Observability; You are working on Python-based machine learning projects and need detailed experiment tracking to manage metadata effectively. ### When should I choose Spearmint over aim? Choose Spearmint over aim when License: Spearmint is Other, aim is Apache-2.0; Tags unique to Spearmint: automated-experimentation, bayesian-optimization, hyperparameter-tuning; - When you require automated experimentation with parameters that can be iteratively adjusted. ### When should I avoid aim? You prefer comprehensive pre-built integrations with cloud services for MLOps processes that are not natively extensive in Aim. Your project is primarily coded in languages other than Python; while language versatility might be desired, Aim specifically excels within the Python ecosystem. ### When should I avoid Spearmint? - If your project requires a permissive license as Spearmint operates under an Academic and Non-Commercial Research Use License - If you need real-time or continuous parameter tuning outside of batch experimentation contexts as Spearmint is suited for controlled experiment setups ### Is aim or Spearmint more popular on GitHub? aim has more GitHub stars (6,210 vs 1,573). Stars measure visibility, not whether either tool fits your constraints. ### Are aim and Spearmint open source? Yes - both are open-source projects on GitHub (aim: Apache-2.0, Spearmint: Other). ### Where can I find alternatives to aim or Spearmint? GraphCanon lists graph-backed alternatives at [aim alternatives](/tools/aimhubio-aim/alternatives) and [Spearmint alternatives](/tools/hips-spearmint/alternatives) ([aim markdown twin](/tools/aimhubio-aim/alternatives.md), [Spearmint markdown twin](/tools/hips-spearmint/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/aimhubio-aim-vs-hips-spearmint.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aim or Spearmint? aim: Very active. Spearmint: Dormant. 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 aim and Spearmint? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aim trust report](/tools/aimhubio-aim/trust); [Spearmint trust report](/tools/hips-spearmint/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aimhubio-aim`](/api/graphcanon/graph?tool=aimhubio-aim) - 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/_