--- title: "gpt_academic vs dolly" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/binary-husky-gpt-academic-vs-databrickslabs-dolly" tools: ["binary-husky-gpt-academic", "databrickslabs-dolly"] --- # gpt_academic vs dolly *GraphCanon updated Sep 20, 2026* ## Verdict Pick gpt_academic if gpt_academic is a modular interface for GPT and GLM LLMs, tailored for academic tasks such as paper translation, summarization, and writing assistance. It supports customization through plugins and buttons and can be set; pick dolly if dolly is a large language model from Databricks, designed for both inference and training on the Databricks Machine Learning Platform. It. [gpt_academic](https://github.com/binary-husky/gpt_academic/wiki/online) reports 71k GitHub stars, 8.3k forks, and 332 open issues, last pushed Jan 25, 2026. [dolly](https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html) has 11k stars, 1.1k forks, and 5 open issues, last pushed Jun 30, 2023. Figures are from public GitHub metadata via [gpt_academic's repository](https://github.com/binary-husky/gpt_academic) and [dolly's repository](https://github.com/databrickslabs/dolly). | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [dolly](/tools/databrickslabs-dolly.md) | | --- | --- | --- | | Tagline | Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing. | Databricks' Dolly, a large language model trained on the Databricks Machine Learning Platform | | Stars | 71,361 | 10,808 | | Forks | 8,317 | 1,134 | | Open issues | 332 | 5 | | Language | Python | Python | | Adopt for | gpt_academic is a modular interface for GPT and GLM LLMs, tailored for academic tasks such as paper translation, summarization, and writing assistance. It supports customization through plugins and buttons and can be set | Dolly is a large language model from Databricks, designed for both inference and training on the Databricks Machine Learning Platform. It is accessible via Hugging Face and requires specific GPU configurations for full-f | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Dolly is licensed under the Apache-2.0 license, which is permissive and allows for free use, modification, and distribution of the software. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [dolly](/tools/databrickslabs-dolly.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 235d | 1175d | | Open issues (now) | 332 | 5 | | Stars delta | +165 (30d) | +3 (30d) | | Open issues delta | +2 (30d) | -1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/binary-husky-gpt-academic/trust.md) | [trust report](/tools/databrickslabs-dolly/trust.md) | ## Decision facts: gpt_academic - **Requirements:** Requires Docker; Supports deployment via Docker, which can be configured for different use cases, including full project capabilities, online models only, or online models plus蔺 - **Adopt for:** gpt_academic is a modular interface for GPT and GLM LLMs, tailored for academic tasks such as paper translation, summarization, and writing assistance. It supports customization through plugins and buttons and can be set - **License detail:** GPL-3.0 ## Decision facts: dolly - **Requirements:** Requires A100 GPUs for optimal performance.; Integration with the Databricks Machine Learning Platform is necessary for full functionality. - **Adopt for:** Dolly is a large language model from Databricks, designed for both inference and training on the Databricks Machine Learning Platform. It is accessible via Hugging Face and requires specific GPU configurations for full-f - **License detail:** Dolly is licensed under the Apache-2.0 license, which is permissive and allows for free use, modification, and distribution of the software. ## Choose when ### Choose gpt_academic if… - License: gpt_academic is GPL-3.0, dolly is Apache-2.0. - Requirements: Requires Docker; Supports deployment via Docker, which can be configured for different use cases, including full project capabilities, online models only, or online models plus蔺. - Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4. - gpt_academic ships Docker support for self-hosted deployment. - When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance. ### Choose dolly if… - License: dolly is Apache-2.0, gpt_academic is GPL-3.0. - Requirements: Requires A100 GPUs for optimal performance.; Integration with the Databricks Machine Learning Platform is necessary for full functionality.. - Tags unique to dolly: chatbot, databricks, dolly, gpt. - When you need a language model that integrates seamlessly with the Databricks Machine Learning Platform for both training and inference. ## When NOT to use gpt_academic - If your project does not involve academic tasks such as paper reading, polishing, or writing. - When you need a solution that does not support customization through plugins and buttons or does not offer deployment via Docker or Python. ## When NOT to use dolly - If your infrastructure does not support A100 GPUs or if you are unable to provision the required instance types in your region. - When you prefer not to use the Databricks Machine Learning Platform for your model training and inference needs. - If your project requires a model that is not licensed under Apache-2.0. ## Common questions ### What is the difference between gpt_academic and dolly? gpt_academic: Provides practical interaction interfaces for GPT/GLM LLMs, optimized for academic paper reading, polishing, and writing.. dolly: Databricks' Dolly, a large language model trained on the Databricks Machine Learning Platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpt_academic over dolly? Choose gpt_academic over dolly when License: gpt_academic is GPL-3.0, dolly is Apache-2.0; Requirements: Requires Docker; Supports deployment via Docker, which can be configured for different use cases, including full project capabilities, online models only, or online models plus蔺; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; gpt_academic ships Docker support for self-hosted deployment; When you need a tool specifically optimized for academic tasks like paper translation, summarization, and writing assistance. ### When should I choose dolly over gpt_academic? Choose dolly over gpt_academic when License: dolly is Apache-2.0, gpt_academic is GPL-3.0; Requirements: Requires A100 GPUs for optimal performance.; Integration with the Databricks Machine Learning Platform is necessary for full functionality.; Tags unique to dolly: chatbot, databricks, dolly, gpt; When you need a language model that integrates seamlessly with the Databricks Machine Learning Platform for both training and inference. ### When should I avoid gpt_academic? If your project does not involve academic tasks such as paper reading, polishing, or writing. When you need a solution that does not support customization through plugins and buttons or does not offer deployment via Docker or Python. ### When should I avoid dolly? If your infrastructure does not support A100 GPUs or if you are unable to provision the required instance types in your region. When you prefer not to use the Databricks Machine Learning Platform for your model training and inference needs. If your project requires a model that is not licensed under Apache-2.0. ### Is gpt_academic or dolly more popular on GitHub? gpt_academic has more GitHub stars (71,361 vs 10,808). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt_academic and dolly open source? Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, dolly: Apache-2.0). ### Where can I find alternatives to gpt_academic or dolly? GraphCanon lists graph-backed alternatives at [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) and [dolly alternatives](/tools/databrickslabs-dolly/alternatives) ([gpt_academic markdown twin](/tools/binary-husky-gpt-academic/alternatives.md), [dolly markdown twin](/tools/databrickslabs-dolly/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/binary-husky-gpt-academic-vs-databrickslabs-dolly.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gpt_academic or dolly? gpt_academic: Slowing. dolly: 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 gpt_academic and dolly? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust); [dolly trust report](/tools/databrickslabs-dolly/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=binary-husky-gpt-academic`](/api/graphcanon/graph?tool=binary-husky-gpt-academic) - 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/_