Home/Compare/gpt_academic vs plexiglass

Comparison

gpt_academic vs plexiglass

Verdict

Pick gpt_academic when license: gpt_academic is GPL-3.0, plexiglass is Apache-2.0; pick plexiglass when license: plexiglass is Apache-2.0, gpt_academic is GPL-3.0.

Markdown twin · gpt_academic alternatives · plexiglass alternatives

GraphCanon updated today

gpt_academic logo

gpt_academic

binary-husky/gpt_academic

71kpushed Jan 25, 2026
vs
plexiglass logo

plexiglass

safellama/plexiglass

153pushed Feb 4, 2026

Trust & integrity

Signalgpt_academicplexiglass
Maintenance
Slowing (166d since push)
As of today · github_public_v1
Slowing (157d 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
No lockfile
As of today · none

Tagline

gpt_academic
提供实用化交互接口,优化论文阅读/润色/写作体验
plexiglass
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

Stars

gpt_academic
71k
plexiglass
153

Forks

gpt_academic
8.3k
plexiglass
18

Open issues

gpt_academic
329
plexiglass
0

Language

gpt_academic
Python
plexiglass
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。
plexiglass
-

Persona

gpt_academic
-
plexiglass
-

Runtime

gpt_academic
-
plexiglass
-

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
plexiglass
Apache-2.0

Last pushed

gpt_academic
Jan 25, 2026
plexiglass
Feb 4, 2026

Categories

gpt_academic
Developer Tools, LLM Frameworks
plexiglass
Developer Tools, LLM Frameworks

Trust and health

Days since push

gpt_academic
166d
plexiglass
157d

Open issues (now)

gpt_academic
329
plexiglass
0

Owner type

gpt_academic
User
plexiglass
Organization

Full report

gpt_academic
Trust report
plexiglass
Trust report

Choose gpt_academic if…

  • License: gpt_academic is GPL-3.0, plexiglass 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

Choose plexiglass if…

  • License: plexiglass is Apache-2.0, gpt_academic is GPL-3.0.
  • Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning.
  • More recently updated (last pushed Feb 4, 2026).

When NOT to use plexiglass

  • Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: gpt_academic 71k · plexiglass 153 (synced Jul 11, 2026).

Common questions

What is the difference between gpt_academic and plexiglass?
gpt_academic: 提供实用化交互接口,优化论文阅读/润色/写作体验. plexiglass: A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).. See the comparison table for live GitHub stats and shared categories.
When should I choose gpt_academic over plexiglass?
Choose gpt_academic over plexiglass when License: gpt_academic is GPL-3.0, plexiglass 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 plexiglass over gpt_academic?
Choose plexiglass over gpt_academic when License: plexiglass is Apache-2.0, gpt_academic is GPL-3.0; Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning; More recently updated (last pushed Feb 4, 2026).
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 plexiglass?
Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. 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 plexiglass more popular on GitHub?
gpt_academic has more GitHub stars (71,056 vs 153). Stars measure visibility, not whether either tool fits your constraints.
Are gpt_academic and plexiglass open source?
Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, plexiglass: Apache-2.0).
Where can I find alternatives to gpt_academic or plexiglass?
GraphCanon lists graph-backed alternatives at gpt_academic alternatives and plexiglass alternatives (gpt_academic markdown twin, plexiglass 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 plexiglass?
gpt_academic: Slowing. plexiglass: 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 plexiglass?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; plexiglass trust report.