Comparison
gpt_academic vs ccg-workflow
Verdict
Pick gpt_academic when gpt_academic is primarily Python; ccg-workflow is Go; pick ccg-workflow when ccg-workflow is primarily Go; gpt_academic is Python.
Markdown twin · gpt_academic alternatives · ccg-workflow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | gpt_academic | ccg-workflow |
|---|---|---|
| Maintenance | Slowing (166d since push) As of 4d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No published findings from this source as of 2026-07-15 As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@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
- ccg-workflow
- 多模型协作工作流引擎, /ccg:go 一个命令，AI 自动分析意图、选择策略、编排 Codex + Gemini + Claude 协作执行
Stars
- gpt_academic
- 71k
- ccg-workflow
- 5.7k
Forks
- gpt_academic
- 8.3k
- ccg-workflow
- 435
Open issues
- gpt_academic
- 329
- ccg-workflow
- 4
Language
- gpt_academic
- Python
- ccg-workflow
- Go
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。
- ccg-workflow
- -
Persona
- gpt_academic
- -
- ccg-workflow
- -
Runtime
- gpt_academic
- -
- ccg-workflow
- -
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
- ccg-workflow
- MIT
Last pushed
- gpt_academic
- Jan 25, 2026
- ccg-workflow
- Jul 15, 2026
Categories
- gpt_academic
- Developer Tools, LLM Frameworks
- ccg-workflow
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- gpt_academic
- Slowing (36%)
- ccg-workflow
- Very active (96%)
Days since push
- gpt_academic
- 166d
- ccg-workflow
- 0d
Open issues (now)
- gpt_academic
- 329
- ccg-workflow
- 4
OSV dependency advisories
- gpt_academic
- No lockfile (source not queried)
- ccg-workflow
- No published findings from this source as of 2026-07-15
Full report
- gpt_academic
- Trust report
- ccg-workflow
- Trust report
Choose gpt_academic if…
- gpt_academic is primarily Python; ccg-workflow is Go.
- License: gpt_academic is GPL-3.0, ccg-workflow is MIT.
- 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
- 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.
Choose ccg-workflow if…
- ccg-workflow is primarily Go; gpt_academic is Python.
- License: ccg-workflow is MIT, gpt_academic is GPL-3.0.
- Tags unique to ccg-workflow: agent-teams, ai, ccg, claude code.
- Also covers AI Agents.
When NOT to use ccg-workflow
- 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.
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 (fengshao1227/ccg-workflow) · observed Jul 15, 2026
- GitHub forks (fengshao1227/ccg-workflow) · observed Jul 15, 2026
- Last push (fengshao1227/ccg-workflow) · observed Jul 15, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: gpt_academic 71k · ccg-workflow 5.7k (synced Jul 11, 2026).
Common questions
- What is the difference between gpt_academic and ccg-workflow?
- gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. ccg-workflow: 多模型协作工作流引擎, /ccg:go 一个命令，AI 自动分析意图、选择策略、编排 Codex + Gemini + Claude 协作执行. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over ccg-workflow?
- Choose gpt_academic over ccg-workflow when gpt_academic is primarily Python; ccg-workflow is Go; License: gpt_academic is GPL-3.0, ccg-workflow is MIT; 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 ccg-workflow over gpt_academic?
- Choose ccg-workflow over gpt_academic when ccg-workflow is primarily Go; gpt_academic is Python; License: ccg-workflow is MIT, gpt_academic is GPL-3.0; Tags unique to ccg-workflow: agent-teams, ai, ccg, 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 ccg-workflow?
- 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 ccg-workflow more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 5,719). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and ccg-workflow open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, ccg-workflow: MIT).
- Where can I find alternatives to gpt_academic or ccg-workflow?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and ccg-workflow alternatives (gpt_academic markdown twin, ccg-workflow 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 ccg-workflow?
- gpt_academic: Slowing. ccg-workflow: 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 ccg-workflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; ccg-workflow trust report.