--- title: "awesome-hosting vs Made-With-ML" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dalisoft-awesome-hosting-vs-gokumohandas-made-with-ml" tools: ["dalisoft-awesome-hosting", "gokumohandas-made-with-ml"] --- # awesome-hosting vs Made-With-ML *GraphCanon updated Aug 25, 2026* ## Verdict Pick awesome-hosting if awesome-hosting is a curated list of hosting services sorted by minimal plan price; pick Made-With-ML if made-With-ML is about equipping developers with practical resources to design, develop, deploy and iterate on production-grade machine learning applications within their software engineering workflows. [awesome-hosting](https://github.com/dalisoft/awesome-hosting) reports 923 GitHub stars, 100 forks, and 1 open issues, last pushed Aug 20, 2026. [Made-With-ML](https://madewithml.com) has 49k stars, 7.7k forks, and 26 open issues, last pushed Mar 4, 2026. Figures are from public GitHub metadata via [awesome-hosting's repository](https://github.com/dalisoft/awesome-hosting) and [Made-With-ML's repository](https://github.com/GokuMohandas/Made-With-ML). | | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) | [Made-With-ML](/tools/gokumohandas-made-with-ml.md) | | --- | --- | --- | | Tagline | List of awesome hosting sorted by minimal plan price | Learn to develop, deploy and iterate on production-grade ML applications | | Stars | 923 | 49,074 | | Forks | 100 | 7,710 | | Open issues | 1 | 26 | | Language | - | Jupyter Notebook | | Adopt for | awesome-hosting is a curated list of hosting services sorted by minimal plan price. | Made-With-ML is about equipping developers with practical resources to design, develop, deploy and iterate on production-grade machine learning applications within their software engineering workflows. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving, Model Training | Developer Tools, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) | [Made-With-ML](/tools/gokumohandas-made-with-ml.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 4d | 162d | | Open issues (now) | 1 | 26 | | Stars delta | +8 (30d) | +371 (30d) | | Open issues delta | +1 (30d) | -1 (30d) | | Full report | [trust report](/tools/dalisoft-awesome-hosting/trust.md) | [trust report](/tools/gokumohandas-made-with-ml/trust.md) | ## Decision facts: awesome-hosting - **Pricing:** unknown - The repository itself is free to use under MIT license, but it does not provide pricing details beyond ranking by minimal plan price. - **Requirements:** There are no technical requirements for using the awesome-hosting list; basic web access will suffice.; Ensure your needs align with the information provided on each hosting service, as focus is solely on pricing at a glance. - **Adopt for:** awesome-hosting is a curated list of hosting services sorted by minimal plan price. ## Decision facts: Made-With-ML - **Requirements:** A foundational understanding of Python programming is required to fully benefit from the learning resources provided. - **Adopt for:** Made-With-ML is about equipping developers with practical resources to design, develop, deploy and iterate on production-grade machine learning applications within their software engineering workflows. ## Choose when ### Choose awesome-hosting if… - Pricing: The repository itself is free to use under MIT license, but it does not provide pricing details beyond ranking by minimal plan price.. - Requirements: There are no technical requirements for using the awesome-hosting list; basic web access will suffice.; Ensure your needs align with the information provided on each hosting service, as focus is solely on pricing at a glance.. - Tags unique to awesome-hosting: ai, clawdbot, cloud, database. - Use awesome-hosting when you are looking for the most affordable options among hosting providers based on their least expensive plans. ### Choose Made-With-ML if… - Requirements: A foundational understanding of Python programming is required to fully benefit from the learning resources provided.. - Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning. - Also covers Developer Tools. - If you are looking for comprehensive tutorials that connect foundational ML concepts directly with hands-on coding practices using Python and PyTorch. ## When NOT to use awesome-hosting - Do not use awesome-hosting if cost is not a primary factor in selecting your hosting provider, as it may overlook higher-end options with superior service quality. - Avoid relying on this list for specialized requirements that do not align directly with the lowest-tier pricing of hosting services. ## When NOT to use Made-With-ML - If you are looking for a niche-focused tool that caters specifically to a particular machine learning framework other than PyTorch. - For developers who already have strong backgrounds in MLOps and require highly specialized tools for managing production-grade ML deployments without additional educational support. ## Common questions ### What is the difference between awesome-hosting and Made-With-ML? awesome-hosting: List of awesome hosting sorted by minimal plan price. Made-With-ML: Learn to develop, deploy and iterate on production-grade ML applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-hosting over Made-With-ML? Choose awesome-hosting over Made-With-ML when Pricing: The repository itself is free to use under MIT license, but it does not provide pricing details beyond ranking by minimal plan price.; Requirements: There are no technical requirements for using the awesome-hosting list; basic web access will suffice.; Ensure your needs align with the information provided on each hosting service, as focus is solely on pricing at a glance.; Tags unique to awesome-hosting: ai, clawdbot, cloud, database; Use awesome-hosting when you are looking for the most affordable options among hosting providers based on their least expensive plans. ### When should I choose Made-With-ML over awesome-hosting? Choose Made-With-ML over awesome-hosting when Requirements: A foundational understanding of Python programming is required to fully benefit from the learning resources provided.; Tags unique to Made-With-ML: data-engineering, data-quality, data-science, deep-learning; Also covers Developer Tools; If you are looking for comprehensive tutorials that connect foundational ML concepts directly with hands-on coding practices using Python and PyTorch. ### When should I avoid awesome-hosting? Do not use awesome-hosting if cost is not a primary factor in selecting your hosting provider, as it may overlook higher-end options with superior service quality. Avoid relying on this list for specialized requirements that do not align directly with the lowest-tier pricing of hosting services. ### When should I avoid Made-With-ML? If you are looking for a niche-focused tool that caters specifically to a particular machine learning framework other than PyTorch. For developers who already have strong backgrounds in MLOps and require highly specialized tools for managing production-grade ML deployments without additional educational support. ### Is awesome-hosting or Made-With-ML more popular on GitHub? Made-With-ML has more GitHub stars (49,074 vs 923). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-hosting and Made-With-ML open source? Yes - both are open-source projects on GitHub (awesome-hosting: MIT, Made-With-ML: MIT). ### Where can I find alternatives to awesome-hosting or Made-With-ML? GraphCanon lists graph-backed alternatives at [awesome-hosting alternatives](/tools/dalisoft-awesome-hosting/alternatives) and [Made-With-ML alternatives](/tools/gokumohandas-made-with-ml/alternatives) ([awesome-hosting markdown twin](/tools/dalisoft-awesome-hosting/alternatives.md), [Made-With-ML markdown twin](/tools/gokumohandas-made-with-ml/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/dalisoft-awesome-hosting-vs-gokumohandas-made-with-ml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-hosting or Made-With-ML? awesome-hosting: Very active. Made-With-ML: Slowing. 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-hosting and Made-With-ML? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-hosting trust report](/tools/dalisoft-awesome-hosting/trust); [Made-With-ML trust report](/tools/gokumohandas-made-with-ml/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dalisoft-awesome-hosting`](/api/graphcanon/graph?tool=dalisoft-awesome-hosting) - 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/_