--- title: "dolly vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/databrickslabs-dolly-vs-rohitg00-ai-engineering-from-scratch" tools: ["databrickslabs-dolly", "rohitg00-ai-engineering-from-scratch"] --- # dolly vs ai-engineering-from-scratch *GraphCanon updated Aug 16, 2026* ## Verdict Pick dolly if dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform; pick ai-engineering-from-scratch if specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. [dolly](https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html) reports 11k GitHub stars, 1.1k forks, and 6 open issues, last pushed Jun 30, 2023. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 47k stars, 8.2k forks, and 107 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [dolly's repository](https://github.com/databrickslabs/dolly) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [dolly](/tools/databrickslabs-dolly.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | Large language model for response generation and training | Learn it. Build it. Ship it for others. | | Stars | 10,805 | 46,862 | | Forks | 1,142 | 8,195 | | Open issues | 6 | 107 | | Language | Python | Python | | Adopt for | Dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform. | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, LLM Frameworks | AI Agents, Computer Vision, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dolly](/tools/databrickslabs-dolly.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1127d | 6d | | Open issues (now) | 6 | 107 | | Stars delta | Unknown | +8.3k (30d) | | Open issues delta | Unknown | +9 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/databrickslabs-dolly/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | ## Decision facts: dolly - **Adopt for:** Dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform. ## Decision facts: ai-engineering-from-scratch - **Pricing:** freemium - The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up - **Adopt for:** Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. ## Choose when ### Choose dolly if… - License: dolly is Apache-2.0, ai-engineering-from-scratch is MIT. - Tags unique to dolly: chatbot, databricks, dolly. - Also covers Inference & Serving. - If your project requires a robust pre-trained model available via Hugging Face to quickly generate responses without extensive setup or training processes. ### Choose ai-engineering-from-scratch if… - License: ai-engineering-from-scratch is MIT, dolly is Apache-2.0. - Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. - Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning. - Also covers AI Agents, Computer Vision, Developer Tools. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ## When NOT to use dolly - If your project requires a local deployment model that does not involve cloud-based tools, as Dolly's optimal use case involves integration with the Databricks platform. - In instances where immediate access to GPUs is constrained or expensive in your region, since Dolly training and inference are optimized for GPU processing environments. ## When NOT to use ai-engineering-from-scratch - If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. - When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ## Common questions ### What is the difference between dolly and ai-engineering-from-scratch? dolly: Large language model for response generation and training. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dolly over ai-engineering-from-scratch? Choose dolly over ai-engineering-from-scratch when License: dolly is Apache-2.0, ai-engineering-from-scratch is MIT; Tags unique to dolly: chatbot, databricks, dolly; Also covers Inference & Serving; If your project requires a robust pre-trained model available via Hugging Face to quickly generate responses without extensive setup or training processes. ### When should I choose ai-engineering-from-scratch over dolly? Choose ai-engineering-from-scratch over dolly when License: ai-engineering-from-scratch is MIT, dolly is Apache-2.0; Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers AI Agents, Computer Vision, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I avoid dolly? If your project requires a local deployment model that does not involve cloud-based tools, as Dolly's optimal use case involves integration with the Databricks platform. In instances where immediate access to GPUs is constrained or expensive in your region, since Dolly training and inference are optimized for GPU processing environments. ### When should I avoid ai-engineering-from-scratch? If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ### Is dolly or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (46,862 vs 10,805). Stars measure visibility, not whether either tool fits your constraints. ### Are dolly and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub (dolly: Apache-2.0, ai-engineering-from-scratch: MIT). ### Where can I find alternatives to dolly or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [dolly alternatives](/tools/databrickslabs-dolly/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([dolly markdown twin](/tools/databrickslabs-dolly/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/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/databrickslabs-dolly-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dolly or ai-engineering-from-scratch? dolly: Dormant. ai-engineering-from-scratch: 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 dolly and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dolly trust report](/tools/databrickslabs-dolly/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=databrickslabs-dolly`](/api/graphcanon/graph?tool=databrickslabs-dolly) - 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/_