--- title: "dataroom vs paperless-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hanxiao-dataroom-vs-icereed-paperless-gpt" tools: ["hanxiao-dataroom", "icereed-paperless-gpt"] --- # dataroom vs paperless-gpt *GraphCanon updated Sep 20, 2026* ## 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. [dataroom](https://dataroom.hanxiao.io) reports 193 GitHub stars, 17 forks, and 3 open issues, last pushed Jun 20, 2026. [paperless-gpt](https://github.com/icereed/paperless-gpt) has 2.7k stars, 208 forks, and 157 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [dataroom's repository](https://github.com/hanxiao/dataroom) and [paperless-gpt's repository](https://github.com/icereed/paperless-gpt). | | [dataroom](/tools/hanxiao-dataroom.md) | [paperless-gpt](/tools/icereed-paperless-gpt.md) | | --- | --- | --- | | Tagline | Local LLM research harness for querying Pi with Qwen3.6 | Document Digitalization powered by AI | | Stars | 193 | 2,702 | | Forks | 17 | 208 | | Open issues | 3 | 157 | | Language | Python | Go | | Adopt for | Dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi. | paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks, Model Training | Computer Vision, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dataroom](/tools/hanxiao-dataroom.md) | [paperless-gpt](/tools/icereed-paperless-gpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 91d | 1d | | Open issues (now) | 3 | 157 | | Stars delta | +5 (30d) | +88 (30d) | | Open issues delta | 0 (30d) | -20 (30d) | | Full report | [trust report](/tools/hanxiao-dataroom/trust.md) | [trust report](/tools/icereed-paperless-gpt/trust.md) | ## Decision facts: dataroom - **Adopt for:** Dataroom is an LLM research platform built for experimenting with self-hosted data using Qwen3.6 in conjunction with Pi. ## Decision facts: paperless-gpt - **Adopt for:** paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/hanxiao-dataroom/alternatives) and [paperless-gpt alternatives](/tools/icereed-paperless-gpt/alternatives) ([dataroom markdown twin](/tools/hanxiao-dataroom/alternatives.md), [paperless-gpt markdown twin](/tools/icereed-paperless-gpt/alternatives.md)), 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](/compare/hanxiao-dataroom-vs-icereed-paperless-gpt.md) 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](/tools/hanxiao-dataroom/trust); [paperless-gpt trust report](/tools/icereed-paperless-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hanxiao-dataroom`](/api/graphcanon/graph?tool=hanxiao-dataroom) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_