Comparison
awesome-ai-apps vs paperless-gpt
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 paperless-gpt if paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license.
Markdown twin · awesome-ai-apps alternatives · paperless-gpt alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | awesome-ai-apps | paperless-gpt |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · 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.
- paperless-gpt
- Document Digitalization powered by AI
Stars
- awesome-ai-apps
- 16k
- paperless-gpt
- 2.7k
Forks
- awesome-ai-apps
- 1.8k
- paperless-gpt
- 208
Open issues
- awesome-ai-apps
- 65
- paperless-gpt
- 157
Language
- awesome-ai-apps
- Python
- paperless-gpt
- Go
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.
- paperless-gpt
- paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license.
Persona
- awesome-ai-apps
- -
- paperless-gpt
- -
Runtime
- awesome-ai-apps
- -
- paperless-gpt
- -
License
- awesome-ai-apps
- MIT License ensures easy integration into both open source and proprietary projects without restrictions.
- paperless-gpt
- MIT
Last pushed
- awesome-ai-apps
- Sep 18, 2026
- paperless-gpt
- Sep 19, 2026
Categories
- awesome-ai-apps
- AI Agents, LLM Frameworks
- paperless-gpt
- Computer Vision, LLM Frameworks
Trust and health
Open issues (now)
- awesome-ai-apps
- 65
- paperless-gpt
- 157
Stars delta
- awesome-ai-apps
- +2.4k (30d)
- paperless-gpt
- +88 (30d)
Open issues delta
- awesome-ai-apps
- -24 (30d)
- paperless-gpt
- -20 (30d)
OSV dependency advisories
- awesome-ai-apps
- No lockfile (source not queried)
- paperless-gpt
- Published findings
Full report
- awesome-ai-apps
- Trust report
- paperless-gpt
- Trust report
Choose awesome-ai-apps if…
- awesome-ai-apps is primarily Python; paperless-gpt is Go.
- 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, hacktoberfest, mcp.
- 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.
Choose paperless-gpt if…
- paperless-gpt is primarily Go; awesome-ai-apps is Python.
- Tags unique to paperless-gpt: document-processing, ocr.
- Also covers Computer Vision.
- paperless-gpt ships Docker support for self-hosted deployment.
- Need integration with existing paperless-ngx setup
When NOT to use paperless-gpt
- Looking for a tool that operates independently of paperless-ngx infrastructure
- Prefer solutions not requiring configuration for different LLM providers
- Require real-time high-volume processing where additional latency from AI integration is undesirable
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 Sep 20, 2026
- GitHub forks (Arindam200/awesome-ai-apps) · observed Sep 20, 2026
- Last push (Arindam200/awesome-ai-apps) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (icereed/paperless-gpt) · observed Sep 20, 2026
- GitHub forks (icereed/paperless-gpt) · observed Sep 20, 2026
- Last push (icereed/paperless-gpt) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-ai-apps 16k · paperless-gpt 2.7k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-ai-apps and paperless-gpt?
- awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. paperless-gpt: Document Digitalization powered by AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over paperless-gpt?
- Choose awesome-ai-apps over paperless-gpt when awesome-ai-apps is primarily Python; paperless-gpt is Go; 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, hacktoberfest, mcp; 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 paperless-gpt over awesome-ai-apps?
- Choose paperless-gpt over awesome-ai-apps when paperless-gpt is primarily Go; awesome-ai-apps is Python; Tags unique to paperless-gpt: document-processing, ocr; Also covers Computer Vision; paperless-gpt ships Docker support for self-hosted deployment; Need integration with existing paperless-ngx setup.
- 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 paperless-gpt?
- Looking for a tool that operates independently of paperless-ngx infrastructure Prefer solutions not requiring configuration for different LLM providers Require real-time high-volume processing where additional latency from AI integration is undesirable
- Is awesome-ai-apps or paperless-gpt more popular on GitHub?
- awesome-ai-apps has more GitHub stars (15,671 vs 2,702). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and paperless-gpt open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, paperless-gpt: MIT).
- Where can I find alternatives to awesome-ai-apps or paperless-gpt?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and paperless-gpt alternatives (awesome-ai-apps markdown twin, paperless-gpt 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 paperless-gpt?
- awesome-ai-apps: Very active. paperless-gpt: 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 awesome-ai-apps and paperless-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; paperless-gpt trust report.