Home/Compare/gpt_academic vs openlm

Comparison

gpt_academic vs openlm

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 openlm if openLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API.

Markdown twin · gpt_academic alternatives · openlm alternatives

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gpt_academic logo

gpt_academic

binary-husky/gpt_academic

71kpushed Jan 25, 2026
vs
openlm logo

openlm

r2d4/openlm

369pushed May 19, 2023

Trust & integrity

Signalgpt_academicopenlm
Maintenance
Slowing (166d since push)
As of 1d · github_public_v1
Dormant (1148d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
31 low (31 low)
As of 1d · 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
openlm
OpenAI-compatible Python client for calling any LLM

Stars

gpt_academic
71k
openlm
369

Forks

gpt_academic
8.3k
openlm
22

Open issues

gpt_academic
329
openlm
1

Language

gpt_academic
Python
openlm
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。
openlm
OpenLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API.

Persona

gpt_academic
-
openlm
-

Runtime

gpt_academic
-
openlm
-

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
openlm
MIT License

Last pushed

gpt_academic
Jan 25, 2026
openlm
May 19, 2023

Categories

gpt_academic
Developer Tools, LLM Frameworks
openlm
LLM Frameworks

Trust and health

Maintenance

gpt_academic
Slowing (36%)
openlm
Dormant (18%)

Days since push

gpt_academic
166d
openlm
1148d

Open issues (now)

gpt_academic
329
openlm
1

Security scan

gpt_academic
No lockfile
openlm
31 low (31 low)

Full report

gpt_academic
Trust report

Choose gpt_academic if…

  • License: gpt_academic is GPL-3.0, openlm is MIT.
  • Requirements: Min 8 GB RAM; 依赖Python环境.
  • Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4.
  • Also covers Developer Tools.
  • 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 openlm if…

  • License: openlm is MIT, gpt_academic is GPL-3.0.
  • Requirements: Installation is as simple as using pip to install the openlm package..
  • Tags unique to openlm: cohere, huggingface, llm, openai.
  • Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s.

When NOT to use openlm

  • Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead.
  • Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM.

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 · openlm 369 (synced Jul 11, 2026).

Common questions

What is the difference between gpt_academic and openlm?
gpt_academic: 提供实用化交互接口,优化论文阅读/润色/写作体验. openlm: OpenAI-compatible Python client for calling any LLM. See the comparison table for live GitHub stats and shared categories.
When should I choose gpt_academic over openlm?
Choose gpt_academic over openlm when License: gpt_academic is GPL-3.0, openlm is MIT; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; Also covers Developer Tools; 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 openlm over gpt_academic?
Choose openlm over gpt_academic when License: openlm is MIT, gpt_academic is GPL-3.0; Requirements: Installation is as simple as using pip to install the openlm package.; Tags unique to openlm: cohere, huggingface, llm, openai; Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s.
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 openlm?
Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead. Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM.
Is gpt_academic or openlm more popular on GitHub?
gpt_academic has more GitHub stars (71,056 vs 369). Stars measure visibility, not whether either tool fits your constraints.
Are gpt_academic and openlm open source?
Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, openlm: MIT).
Where can I find alternatives to gpt_academic or openlm?
GraphCanon lists graph-backed alternatives at gpt_academic alternatives and openlm alternatives (gpt_academic markdown twin, openlm 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 openlm?
gpt_academic: Slowing. openlm: 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 openlm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; openlm trust report.