--- title: "gpt_academic vs tma1" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/binary-husky-gpt-academic-vs-tma1-ai-tma1" tools: ["binary-husky-gpt-academic", "tma1-ai-tma1"] --- # gpt_academic vs tma1 *GraphCanon updated Jul 15, 2026* ## Verdict Pick gpt_academic when gpt_academic is primarily Python; tma1 is Go; pick tma1 when tma1 is primarily Go; gpt_academic is Python. [gpt_academic](https://github.com/binary-husky/gpt_academic/wiki/online) reports 71k GitHub stars, 8.3k forks, and 329 open issues, last pushed Jan 25, 2026. [tma1](https://tma1.ai/) has 109 stars, 12 forks, and 5 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [gpt_academic's repository](https://github.com/binary-husky/gpt_academic) and [tma1's repository](https://github.com/tma1-ai/tma1). | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [tma1](/tools/tma1-ai-tma1.md) | | --- | --- | --- | | Tagline | 提供实用化交互接口，优化论文阅读/润色/写作体验 | Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP. | | Stars | 71,056 | 109 | | Forks | 8,350 | 12 | | Open issues | 329 | 5 | | Language | Python | Go | | Adopt for | gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。 | - | | Persona | - | - | | Runtime | - | - | | License | 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证 | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [tma1](/tools/tma1-ai-tma1.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 166d | 3d | | Open issues (now) | 329 | 5 | | Owner type | User | Organization | | Full report | [trust report](/tools/binary-husky-gpt-academic/trust.md) | [trust report](/tools/tma1-ai-tma1/trust.md) | ## Decision facts: gpt_academic - **Pricing:** freemium - **Requirements:** Min 8 GB RAM; 依赖Python环境 - **Adopt for:** gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。 - **License detail:** 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证 ## Choose when ### Choose gpt_academic if… - gpt_academic is primarily Python; tma1 is Go. - License: gpt_academic is GPL-3.0, tma1 is Apache-2.0. - Requirements: Min 8 GB RAM; 依赖Python环境. - Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4. - gpt_academic ships Docker support for self-hosted deployment. - 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时 ### Choose tma1 if… - tma1 is primarily Go; gpt_academic is Python. - License: tma1 is Apache-2.0, gpt_academic is GPL-3.0. - Tags unique to tma1: agent-loop, agent-observability, ai-agents, claude code. - Also covers AI Agents. ## When NOT to use gpt_academic - Last GitHub push was 171 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on gpt_academic. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use tma1 - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between gpt_academic and tma1? gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. tma1: Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpt_academic over tma1? Choose gpt_academic over tma1 when gpt_academic is primarily Python; tma1 is Go; License: gpt_academic is GPL-3.0, tma1 is Apache-2.0; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; gpt_academic ships Docker support for self-hosted deployment; 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时. ### When should I choose tma1 over gpt_academic? Choose tma1 over gpt_academic when tma1 is primarily Go; gpt_academic is Python; License: tma1 is Apache-2.0, gpt_academic is GPL-3.0; Tags unique to tma1: agent-loop, agent-observability, ai-agents, claude code; Also covers AI Agents. ### When should I avoid gpt_academic? Last GitHub push was 171 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on gpt_academic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid tma1? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is gpt_academic or tma1 more popular on GitHub? gpt_academic has more GitHub stars (71,056 vs 109). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt_academic and tma1 open source? Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, tma1: Apache-2.0). ### Where can I find alternatives to gpt_academic or tma1? GraphCanon lists graph-backed alternatives at [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) and [tma1 alternatives](/tools/tma1-ai-tma1/alternatives) ([gpt_academic markdown twin](/tools/binary-husky-gpt-academic/alternatives.md), [tma1 markdown twin](/tools/tma1-ai-tma1/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-tma1-ai-tma1.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gpt_academic or tma1? gpt_academic: Slowing. tma1: 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 gpt_academic and tma1? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust); [tma1 trust report](/tools/tma1-ai-tma1/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/_