Comparison
dataroom vs paperless-gpt
Verdict
Pick dataroom if dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi; 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 · dataroom alternatives · paperless-gpt alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | dataroom | paperless-gpt |
|---|---|---|
| Maintenance | Slowing (91d 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 15, 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
- dataroom
- Local LLM research harness for querying Pi with Qwen3.6
- paperless-gpt
- Document Digitalization powered by AI
Stars
- dataroom
- 193
- paperless-gpt
- 2.7k
Forks
- dataroom
- 17
- paperless-gpt
- 208
Open issues
- dataroom
- 3
- paperless-gpt
- 157
Language
- dataroom
- Python
- paperless-gpt
- Go
Adopt for
- dataroom
- Dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi.
- paperless-gpt
- paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license.
Persona
- dataroom
- -
- paperless-gpt
- -
Runtime
- dataroom
- -
- paperless-gpt
- -
License
- dataroom
- MIT
- paperless-gpt
- MIT
Last pushed
- dataroom
- Jun 20, 2026
- paperless-gpt
- Sep 19, 2026
Categories
- dataroom
- LLM Frameworks, Model Training
- paperless-gpt
- Computer Vision, LLM Frameworks
Trust and health
Maintenance
- dataroom
- Slowing (36%)
- paperless-gpt
- Very active (96%)
Days since push
- dataroom
- 91d
- paperless-gpt
- 1d
Open issues (now)
- dataroom
- 3
- paperless-gpt
- 157
Stars delta
- dataroom
- +5 (30d)
- paperless-gpt
- +88 (30d)
Open issues delta
- dataroom
- 0 (30d)
- paperless-gpt
- -20 (30d)
OSV dependency advisories
- dataroom
- No lockfile (source not queried)
- paperless-gpt
- Published findings
Full report
- dataroom
- Trust report
- paperless-gpt
- Trust report
Choose dataroom if…
- dataroom is primarily Python; paperless-gpt is Go.
- Tags unique to dataroom: harness, local-llm, pi, qwen3.6.
- Also covers Model Training.
- 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.
Choose paperless-gpt if…
- paperless-gpt is primarily Go; dataroom is Python.
- Tags unique to paperless-gpt: ai, document-processing, llm, ocr.
- Also covers Computer Vision.
- 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 (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 (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: dataroom 193 · paperless-gpt 2.7k (synced Sep 20, 2026).
Common questions
- What is the difference between dataroom and paperless-gpt?
- dataroom: Local LLM research harness for querying Pi with Qwen3.6. paperless-gpt: Document Digitalization powered by AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose dataroom over paperless-gpt?
- Choose dataroom over paperless-gpt when dataroom is primarily Python; paperless-gpt is Go; Tags unique to dataroom: harness, local-llm, pi, qwen3.6; Also covers Model Training; When you need to run experiments on locally hosted datasets, as dataroom specifically supports querying Pi with Qwen3.6.
- When should I choose paperless-gpt over dataroom?
- Choose paperless-gpt over dataroom when paperless-gpt is primarily Go; dataroom is Python; Tags unique to paperless-gpt: ai, document-processing, llm, ocr; Also covers Computer Vision; Need integration with existing paperless-ngx setup.
- 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.
- 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 dataroom or paperless-gpt more popular on GitHub?
- paperless-gpt has more GitHub stars (2,702 vs 193). Stars measure visibility, not whether either tool fits your constraints.
- Are dataroom and paperless-gpt open source?
- Yes - both are open-source projects on GitHub (dataroom: MIT, paperless-gpt: MIT).
- Where can I find alternatives to dataroom or paperless-gpt?
- GraphCanon lists graph-backed alternatives at dataroom alternatives and paperless-gpt alternatives (dataroom 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, dataroom or paperless-gpt?
- dataroom: Slowing. 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 dataroom and paperless-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dataroom trust report; paperless-gpt trust report.