Comparison
promptsource vs gpt_academic
Verdict
Pick promptsource when license: promptsource is Apache-2.0, gpt_academic is GPL-3.0; pick gpt_academic when license: gpt_academic is GPL-3.0, promptsource is Apache-2.0.
Markdown twin · promptsource alternatives · gpt_academic alternatives
GraphCanon updated today
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Trust & integrity
| Signal | promptsource | gpt_academic |
|---|---|---|
| Maintenance | Dormant (991d since push) As of today · github_public_v1 | Slowing (166d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- promptsource
- Toolkit for creating, sharing and using natural language prompts.
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
Stars
- promptsource
- 3.0k
- gpt_academic
- 71k
Forks
- promptsource
- 377
- gpt_academic
- 8.3k
Open issues
- promptsource
- 43
- gpt_academic
- 329
Language
- promptsource
- Python
- gpt_academic
- Python
Adopt for
- promptsource
- -
- 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。
Persona
- promptsource
- -
- gpt_academic
- -
Runtime
- promptsource
- -
- gpt_academic
- -
License
- promptsource
- Apache-2.0
- 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
Last pushed
- promptsource
- Oct 23, 2023
- gpt_academic
- Jan 25, 2026
Categories
- promptsource
- Developer Tools, LLM Frameworks, Model Training
- gpt_academic
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- promptsource
- Dormant (18%)
- gpt_academic
- Slowing (36%)
Days since push
- promptsource
- 991d
- gpt_academic
- 166d
Open issues (now)
- promptsource
- 43
- gpt_academic
- 329
Owner type
- promptsource
- Organization
- gpt_academic
- User
Full report
- promptsource
- Trust report
- gpt_academic
- Trust report
Choose promptsource if…
- License: promptsource is Apache-2.0, gpt_academic is GPL-3.0.
- Tags unique to promptsource: machine-learning, natural-language-processing, nlp, python.
- Also covers Model Training.
When NOT to use promptsource
- Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on promptsource.
- 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.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, promptsource 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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigscience-workshop/promptsource) · observed Jul 11, 2026
- GitHub forks (bigscience-workshop/promptsource) · observed Jul 11, 2026
- Last push (bigscience-workshop/promptsource) · observed Oct 23, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: promptsource 3.0k · gpt_academic 71k (synced Jul 11, 2026).
Common questions
- What is the difference between promptsource and gpt_academic?
- promptsource: Toolkit for creating, sharing and using natural language prompts.. gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. See the comparison table for live GitHub stats and shared categories.
- When should I choose promptsource over gpt_academic?
- Choose promptsource over gpt_academic when License: promptsource is Apache-2.0, gpt_academic is GPL-3.0; Tags unique to promptsource: machine-learning, natural-language-processing, nlp, python; Also covers Model Training.
- When should I choose gpt_academic over promptsource?
- Choose gpt_academic over promptsource when License: gpt_academic is GPL-3.0, promptsource 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 avoid promptsource?
- Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on promptsource. 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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
- Is promptsource or gpt_academic more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 3,026). Stars measure visibility, not whether either tool fits your constraints.
- Are promptsource and gpt_academic open source?
- Yes - both are open-source projects on GitHub (promptsource: Apache-2.0, gpt_academic: GPL-3.0).
- Where can I find alternatives to promptsource or gpt_academic?
- GraphCanon lists graph-backed alternatives at promptsource alternatives and gpt_academic alternatives (promptsource markdown twin, gpt_academic 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, promptsource or gpt_academic?
- promptsource: Dormant. gpt_academic: 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 promptsource and gpt_academic?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptsource trust report; gpt_academic trust report.