Comparison
gpt_academic vs open-reverselab
Verdict
Pick gpt_academic when requirements: Min 8 GB RAM; 依赖Python环境; pick open-reverselab when tags unique to open-reverselab: ai-agent, ai-jailbreak, ai-jailbreak-universal, android-reverse-engineering.
Markdown twin · gpt_academic alternatives · open-reverselab alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | gpt_academic | open-reverselab |
|---|---|---|
| Maintenance | Slowing (166d since push) As of 4d · github_public_v1 | Very active (2d 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 lockfile (source not queried) 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
- open-reverselab
- Open-source reverse engineering lab: 197-article knowledge base + MCP tools + CTF/APK/PE automation toolchain. Agent-native. Note:由于场景原因，目前有让几乎所有（除fable5）AI都会越狱的bug,静等官方修复,但是请在合法授权下进行安全测试😉（项目可以让5.6干活
Stars
- gpt_academic
- 71k
- open-reverselab
- 794
Forks
- gpt_academic
- 8.3k
- open-reverselab
- 216
Open issues
- gpt_academic
- 329
- open-reverselab
- 4
Language
- gpt_academic
- Python
- open-reverselab
- 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。
- open-reverselab
- -
Persona
- gpt_academic
- -
- open-reverselab
- -
Runtime
- gpt_academic
- -
- open-reverselab
- -
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
- open-reverselab
- GPL-3.0
Last pushed
- gpt_academic
- Jan 25, 2026
- open-reverselab
- Jul 12, 2026
Categories
- gpt_academic
- Developer Tools, LLM Frameworks
- open-reverselab
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- gpt_academic
- Slowing (36%)
- open-reverselab
- Very active (96%)
Days since push
- gpt_academic
- 166d
- open-reverselab
- 2d
Open issues (now)
- gpt_academic
- 329
- open-reverselab
- 4
Full report
- gpt_academic
- Trust report
- open-reverselab
- Trust report
Choose gpt_academic if…
- 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 open-reverselab if…
- Tags unique to open-reverselab: ai-agent, ai-jailbreak, ai-jailbreak-universal, android-reverse-engineering.
- Also covers AI Agents.
- More recently updated (last pushed Jul 12, 2026).
When NOT to use open-reverselab
- 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 (LING71671/open-reverselab) · observed Jul 15, 2026
- GitHub forks (LING71671/open-reverselab) · observed Jul 15, 2026
- Last push (LING71671/open-reverselab) · observed Jul 12, 2026
- License file (GPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: gpt_academic 71k · open-reverselab 794 (synced Jul 11, 2026).
Common questions
- What is the difference between gpt_academic and open-reverselab?
- gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. open-reverselab: Open-source reverse engineering lab: 197-article knowledge base + MCP tools + CTF/APK/PE automation toolchain. Agent-native. Note:由于场景原因，目前有让几乎所有（除fable5）AI都会越狱的bug,静等官方修复,但是请在合法授权下进行安全测试😉（项目可以让5.6干活. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over open-reverselab?
- Choose gpt_academic over open-reverselab when 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 open-reverselab over gpt_academic?
- Choose open-reverselab over gpt_academic when Tags unique to open-reverselab: ai-agent, ai-jailbreak, ai-jailbreak-universal, android-reverse-engineering; Also covers AI Agents; More recently updated (last pushed Jul 12, 2026).
- 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 open-reverselab?
- 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 open-reverselab more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 794). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and open-reverselab open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, open-reverselab: GPL-3.0).
- Where can I find alternatives to gpt_academic or open-reverselab?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and open-reverselab alternatives (gpt_academic markdown twin, open-reverselab 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 open-reverselab?
- gpt_academic: Slowing. open-reverselab: 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 open-reverselab?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; open-reverselab trust report.