Comparison
gpt_academic vs prompttools
Verdict
Pick gpt_academic if 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。; pick prompttools if prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities.
Markdown twin · gpt_academic alternatives · prompttools alternatives
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Trust & integrity
| Signal | gpt_academic | prompttools |
|---|---|---|
| Maintenance | Slowing (166d since push) As of today · github_public_v1 | Slowing (150d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 2 low (2 low) As of today · osv@v1 |
Tagline
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
- prompttools
- Open-source tools for prompt testing and experimentation
Stars
- gpt_academic
- 71k
- prompttools
- 3.0k
Forks
- gpt_academic
- 8.3k
- prompttools
- 255
Open issues
- gpt_academic
- 329
- prompttools
- 41
Language
- gpt_academic
- Python
- prompttools
- Python
Adopt for
- gpt_academic
- 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。
- prompttools
- Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities.
Persona
- gpt_academic
- -
- prompttools
- -
Runtime
- gpt_academic
- -
- prompttools
- -
License
- gpt_academic
- 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
- prompttools
- Apache-2.0
Last pushed
- gpt_academic
- Jan 25, 2026
- prompttools
- Feb 11, 2026
Categories
- gpt_academic
- LLM Frameworks, Developer Tools
- prompttools
- LLM Frameworks, Vector Databases, Developer Tools
Trust and health
Days since push
- gpt_academic
- 166d
- prompttools
- 150d
Open issues (now)
- gpt_academic
- 329
- prompttools
- 41
Owner type
- gpt_academic
- User
- prompttools
- Organization
Security scan
- gpt_academic
- No lockfile
- prompttools
- 2 low (2 low)
Full report
- gpt_academic
- Trust report
- prompttools
- Trust report
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, prompttools is Apache-2.0.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- Tags unique to gpt_academic: academic, chatglm-6b, gpt-4, chatgpt.
- 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 NOT to use gpt_academic
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况
- 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意
- 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现）
- 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
Choose prompttools if…
- License: prompttools is Apache-2.0, gpt_academic is GPL-3.0.
- Pricing: PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available..
- Tags unique to prompttools: llms, embeddings, deep-learning, machine-learning.
- Also covers Vector Databases.
- Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities.
When NOT to use prompttools
- Last GitHub push was 151 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on prompttools.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (binary-husky/gpt_academic) · observed Jul 11, 2026
- GitHub forks (binary-husky/gpt_academic) · observed Jul 11, 2026
- Last push (binary-husky/gpt_academic) · observed Jan 25, 2026
- License file (GPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hegelai/prompttools) · observed Jul 11, 2026
- GitHub forks (hegelai/prompttools) · observed Jul 11, 2026
- Last push (hegelai/prompttools) · observed Feb 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt_academic 71k · prompttools 3.0k (synced Jul 11, 2026).
Common questions
- What is the difference between gpt_academic and prompttools?
- gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. prompttools: Open-source tools for prompt testing and experimentation. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over prompttools?
- Choose gpt_academic over prompttools when License: gpt_academic is GPL-3.0, prompttools is Apache-2.0; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: academic, chatglm-6b, gpt-4, chatgpt; 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 prompttools over gpt_academic?
- Choose prompttools over gpt_academic when License: prompttools is Apache-2.0, gpt_academic is GPL-3.0; Pricing: PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available.; Tags unique to prompttools: llms, embeddings, deep-learning, machine-learning; Also covers Vector Databases; Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities.
- When should I avoid gpt_academic?
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现） 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
- When should I avoid prompttools?
- Last GitHub push was 151 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on prompttools. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is gpt_academic or prompttools more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 3,041). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and prompttools open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, prompttools: Apache-2.0).
- Where can I find alternatives to gpt_academic or prompttools?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and prompttools alternatives (gpt_academic markdown twin, prompttools markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, gpt_academic or prompttools?
- gpt_academic: Slowing. prompttools: 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 gpt_academic and prompttools?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; prompttools trust report.