Comparison
awesome-ai-apps vs dr-doc-search
Verdict
Pick awesome-ai-apps if awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python; pick dr-doc-search if dr-doc-search 是一个使用 GPT-3 实现的工具，允许用户与书籍进行对话，并支持自然语言处理和摘要生成。该库采用 MIT 许可证。.
Markdown twin · awesome-ai-apps alternatives · dr-doc-search alternatives
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Trust & integrity
| Signal | awesome-ai-apps | dr-doc-search |
|---|---|---|
| Maintenance | Very active (6d since push) As of today · github_public_v1 | Dormant (683d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · 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
- awesome-ai-apps
- A curated list of AI applications showcasing RAG, agents, and workflows.
- dr-doc-search
- Converse with book - Built with GPT-3
Stars
- awesome-ai-apps
- 13k
- dr-doc-search
- 598
Forks
- awesome-ai-apps
- 1.8k
- dr-doc-search
- 59
Open issues
- awesome-ai-apps
- 65
- dr-doc-search
- 6
Language
- awesome-ai-apps
- Python
- dr-doc-search
- Python
Adopt for
- awesome-ai-apps
- awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python.
- dr-doc-search
- dr-doc-search 是一个使用 GPT-3 实现的工具，允许用户与书籍进行对话，并支持自然语言处理和摘要生成。该库采用 MIT 许可证。
Persona
- awesome-ai-apps
- -
- dr-doc-search
- -
Runtime
- awesome-ai-apps
- -
- dr-doc-search
- -
License
- awesome-ai-apps
- MIT License ensures easy integration into both open source and proprietary projects without restrictions.
- dr-doc-search
- MIT
Last pushed
- awesome-ai-apps
- Aug 19, 2026
- dr-doc-search
- Oct 1, 2024
Categories
- awesome-ai-apps
- AI Agents, LLM Frameworks
- dr-doc-search
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- awesome-ai-apps
- Very active (96%)
- dr-doc-search
- Dormant (18%)
Days since push
- awesome-ai-apps
- 6d
- dr-doc-search
- 683d
Open issues (now)
- awesome-ai-apps
- 65
- dr-doc-search
- 6
Stars delta
- awesome-ai-apps
- +226 (30d)
- dr-doc-search
- 0 (30d)
Open issues delta
- awesome-ai-apps
- -24 (30d)
- dr-doc-search
- 0 (30d)
OSV dependency advisories
- awesome-ai-apps
- No lockfile (source not queried)
- dr-doc-search
- Published findings
Full report
- awesome-ai-apps
- Trust report
- dr-doc-search
- Trust report
Shared compatibility
- Python · awesome-ai-apps: Python runtime · dr-doc-search: Python runtime
Choose awesome-ai-apps if…
- Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts..
- Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed..
- Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm.
- Also covers AI Agents.
- Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
When NOT to use awesome-ai-apps
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python.
- Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Arindam200/awesome-ai-apps) · observed Aug 26, 2026
- GitHub forks (Arindam200/awesome-ai-apps) · observed Aug 26, 2026
- Last push (Arindam200/awesome-ai-apps) · observed Aug 19, 2026
- License file (MIT) · observed Aug 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (namuan/dr-doc-search) · observed Aug 15, 2026
- GitHub forks (namuan/dr-doc-search) · observed Aug 15, 2026
- Last push (namuan/dr-doc-search) · observed Oct 1, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-apps 13k · dr-doc-search 598 (synced Aug 26, 2026).
Common questions
- What is the difference between awesome-ai-apps and dr-doc-search?
- awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. dr-doc-search: Converse with book - Built with GPT-3. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over dr-doc-search?
- Choose awesome-ai-apps over dr-doc-search when Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.; Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.; Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm; Also covers AI Agents; Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
- When should I choose dr-doc-search over awesome-ai-apps?
- Choose dr-doc-search over awesome-ai-apps when Tags unique to dr-doc-search: gpt3, langchain, nlp-machine-learning, python; Also covers Data & Retrieval; 当你需要借助 GPT-3 技术来对电子书内容进行互动查询时。.
- When should I avoid awesome-ai-apps?
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
- When should I avoid dr-doc-search?
- API dr-doc-search。
- Is awesome-ai-apps or dr-doc-search more popular on GitHub?
- awesome-ai-apps has more GitHub stars (13,494 vs 598). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and dr-doc-search open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, dr-doc-search: MIT).
- Where can I find alternatives to awesome-ai-apps or dr-doc-search?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and dr-doc-search alternatives (awesome-ai-apps markdown twin, dr-doc-search 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, awesome-ai-apps or dr-doc-search?
- awesome-ai-apps: Very active. dr-doc-search: 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 awesome-ai-apps and dr-doc-search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; dr-doc-search trust report.