Comparison
paperless-ai vs dataroom
Verdict
Pick paperless-ai if paperless-ai is a JavaScript-built automated document analyzer for Paperless-ngx that tags documents using OpenAI API and compatible services such as Ollama, Deepseek-r1, and Azure; pick dataroom if dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi.
Markdown twin · paperless-ai alternatives · dataroom alternatives
GraphCanon updated Sep 20, 2026
10views this month
vs
Trust & integrity
| Signal | paperless-ai | dataroom |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (91d 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 15, 2026 · osv@v1 | No lockfile (source not queried) 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
- paperless-ai
- Automated document analyzer for Paperless-ngx using OpenAI API and compatible services to tag documents
- dataroom
- Local LLM research harness for querying Pi with Qwen3.6
Stars
- paperless-ai
- 6.0k
- dataroom
- 193
Forks
- paperless-ai
- 331
- dataroom
- 17
Open issues
- paperless-ai
- 56
- dataroom
- 3
Language
- paperless-ai
- JavaScript
- dataroom
- Python
Adopt for
- paperless-ai
- Paperless-ai is a JavaScript-built automated document analyzer for Paperless-ngx that tags documents using OpenAI API and compatible services such as Ollama, Deepseek-r1, and Azure.
- dataroom
- Dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi.
Persona
- paperless-ai
- -
- dataroom
- -
Runtime
- paperless-ai
- -
- dataroom
- -
License
- paperless-ai
- MIT
- dataroom
- MIT
Last pushed
- paperless-ai
- Sep 19, 2026
- dataroom
- Jun 20, 2026
Categories
- paperless-ai
- Evaluation & Observability, Model Training
- dataroom
- LLM Frameworks, Model Training
Trust and health
Maintenance
- paperless-ai
- Very active (96%)
- dataroom
- Slowing (36%)
Days since push
- paperless-ai
- 1d
- dataroom
- 91d
Open issues (now)
- paperless-ai
- 56
- dataroom
- 3
Stars delta
- paperless-ai
- +68 (30d)
- dataroom
- +5 (30d)
Open issues delta
- paperless-ai
- -7 (30d)
- dataroom
- 0 (30d)
Full report
- paperless-ai
- Trust report
- dataroom
- Trust report
Choose paperless-ai if…
- paperless-ai is primarily JavaScript; dataroom is Python.
- Tags unique to paperless-ai: ai, automation, gemma, llama.
- Also covers Evaluation & Observability.
- - When you require integration with Paperless-ngx for managing digital documents automatically with tagging capabilities
When NOT to use paperless-ai
- - For projects that do not involve the management or automatic analysis of digital documents within a Paperless-ngx context
- - In environments where the specific services it integrates with, such as Ollama and Deepseek-r1, are unavailable or unsupported
Choose dataroom if…
- dataroom is primarily Python; paperless-ai is JavaScript.
- Tags unique to dataroom: harness, local-llm, pi, qwen3.6.
- Also covers LLM Frameworks.
- When you need to run experiments on locally hosted datasets, as dataroom specifically supports querying Pi with Qwen3.6.
When NOT to use dataroom
- Avoid using this tool if you require real-time access to a wide variety of datasets outside of what can be locally hosted.
- Do not use it if your project demands integration with other cloud-based AI tools or services, as dataroom focuses on local infrastructure.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (clusterzx/paperless-ai) · observed Sep 20, 2026
- GitHub forks (clusterzx/paperless-ai) · observed Sep 20, 2026
- Last push (clusterzx/paperless-ai) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (hanxiao/dataroom) · observed Sep 20, 2026
- GitHub forks (hanxiao/dataroom) · observed Sep 20, 2026
- Last push (hanxiao/dataroom) · observed Jun 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: paperless-ai 6.0k · dataroom 193 (synced Sep 20, 2026).
Common questions
- What is the difference between paperless-ai and dataroom?
- paperless-ai: Automated document analyzer for Paperless-ngx using OpenAI API and compatible services to tag documents. dataroom: Local LLM research harness for querying Pi with Qwen3.6. See the comparison table for live GitHub stats and shared categories.
- When should I choose paperless-ai over dataroom?
- Choose paperless-ai over dataroom when paperless-ai is primarily JavaScript; dataroom is Python; Tags unique to paperless-ai: ai, automation, gemma, llama; Also covers Evaluation & Observability; - When you require integration with Paperless-ngx for managing digital documents automatically with tagging capabilities.
- When should I choose dataroom over paperless-ai?
- Choose dataroom over paperless-ai when dataroom is primarily Python; paperless-ai is JavaScript; Tags unique to dataroom: harness, local-llm, pi, qwen3.6; Also covers LLM Frameworks; When you need to run experiments on locally hosted datasets, as dataroom specifically supports querying Pi with Qwen3.6.
- When should I avoid paperless-ai?
- - For projects that do not involve the management or automatic analysis of digital documents within a Paperless-ngx context - In environments where the specific services it integrates with, such as Ollama and Deepseek-r1, are unavailable or unsupported
- When should I avoid dataroom?
- Avoid using this tool if you require real-time access to a wide variety of datasets outside of what can be locally hosted. Do not use it if your project demands integration with other cloud-based AI tools or services, as dataroom focuses on local infrastructure.
- Is paperless-ai or dataroom more popular on GitHub?
- paperless-ai has more GitHub stars (5,950 vs 193). Stars measure visibility, not whether either tool fits your constraints.
- Are paperless-ai and dataroom open source?
- Yes - both are open-source projects on GitHub (paperless-ai: MIT, dataroom: MIT).
- Where can I find alternatives to paperless-ai or dataroom?
- GraphCanon lists graph-backed alternatives at paperless-ai alternatives and dataroom alternatives (paperless-ai markdown twin, dataroom 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, paperless-ai or dataroom?
- paperless-ai: Very active. dataroom: 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 paperless-ai and dataroom?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paperless-ai trust report; dataroom trust report.