Comparison
harbor vs gpt_academic
Verdict
Pick harbor when license: harbor is Apache-2.0, gpt_academic is GPL-3.0; pick gpt_academic when license: gpt_academic is GPL-3.0, harbor is Apache-2.0.
Markdown twin · harbor alternatives · gpt_academic alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | harbor | gpt_academic |
|---|---|---|
| Maintenance | Active (24d since push) As of today · github_public_v1 | Slowing (166d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- harbor
- Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
Stars
- harbor
- 3.1k
- gpt_academic
- 71k
Forks
- harbor
- 212
- gpt_academic
- 8.3k
Open issues
- harbor
- 56
- gpt_academic
- 329
Language
- harbor
- Python
- gpt_academic
- Python
Adopt for
- harbor
- -
- 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
- harbor
- -
- gpt_academic
- -
Runtime
- harbor
- -
- gpt_academic
- -
License
- harbor
- 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
- harbor
- Jun 21, 2026
- gpt_academic
- Jan 25, 2026
Categories
- harbor
- Developer Tools, LLM Frameworks
- gpt_academic
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- harbor
- Active (82%)
- gpt_academic
- Slowing (36%)
Days since push
- harbor
- 24d
- gpt_academic
- 166d
Open issues (now)
- harbor
- 56
- gpt_academic
- 329
Full report
- harbor
- Trust report
- gpt_academic
- Trust report
Choose harbor if…
- License: harbor is Apache-2.0, gpt_academic is GPL-3.0.
- Tags unique to harbor: ai, automation, bash, cli.
- More recently updated (last pushed Jun 21, 2026).
When NOT to use harbor
- 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 gpt_academic if…
- License: gpt_academic is GPL-3.0, harbor 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
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (av/harbor) · observed Jul 15, 2026
- GitHub forks (av/harbor) · observed Jul 15, 2026
- Last push (av/harbor) · observed Jun 21, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: harbor 3.1k · gpt_academic 71k (synced Jul 15, 2026).
Common questions
- What is the difference between harbor and gpt_academic?
- harbor: Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.. 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 harbor over gpt_academic?
- Choose harbor over gpt_academic when License: harbor is Apache-2.0, gpt_academic is GPL-3.0; Tags unique to harbor: ai, automation, bash, cli; More recently updated (last pushed Jun 21, 2026).
- When should I choose gpt_academic over harbor?
- Choose gpt_academic over harbor when License: gpt_academic is GPL-3.0, harbor 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 harbor?
- 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 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.
- Is harbor or gpt_academic more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 3,140). Stars measure visibility, not whether either tool fits your constraints.
- Are harbor and gpt_academic open source?
- Yes - both are open-source projects on GitHub (harbor: Apache-2.0, gpt_academic: GPL-3.0).
- Where can I find alternatives to harbor or gpt_academic?
- GraphCanon lists graph-backed alternatives at harbor alternatives and gpt_academic alternatives (harbor 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, harbor or gpt_academic?
- harbor: Active. 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 harbor and gpt_academic?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: harbor trust report; gpt_academic trust report.