Mattermost
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
Comparison · Collab
Paperless-ngx vs Joplin
A side-by-side editorial comparison of Paperless-ngx and Joplin — release velocity, themes, recent moves, and the top alternatives to consider.
Paperless-ngx vs Joplin: at a glance
What is Paperless-ngx?
Paperless-ngx v3.1 ships AI document metadata automation as a hands-off workflow action
Paperless-ngx completed a major version cycle: v3.0.0 introduced breaking changes (positional argument removal, architectural cleanup) and v3.1.0 built on that foundation with an AI suggestions workflow action — the ability to apply AI-generated document metadata automatically as part of a workflow, rather than surfacing suggestions for manual approval. The 3.1.x patch series is now stabilizing: v3.1.2 addressed a security vulnerability, v3.1.3 resolved UI regressions.
What is Joplin?
Joplin 3.7 ships AI chat, semantic search, and MCP integration — all off by default, all controllable by the user.
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
Paperless-ngx vs Joplin: editorial side-by-side
Paperless-ngx
6.3COLLAB
Paperless-ngx v3.1 ships AI document metadata automation as a hands-off workflow action
◆ Current state
Paperless-ngx completed a major version cycle: v3.0.0 introduced breaking changes (positional argument removal, architectural cleanup) and v3.1.0 built on that foundation with an AI suggestions workflow action — the ability to apply AI-generated document metadata automatically as part of a workflow, rather than surfacing suggestions for manual approval. The 3.1.x patch series is now stabilizing: v3.1.2 addressed a security vulnerability, v3.1.3 resolved UI regressions.
◆ Where it's heading
The AI suggestions workflow action is the headline direction — it moves document processing from assistant (AI suggests, human approves) to automation (AI applies metadata automatically based on workflow conditions). For document management, this is the meaningful step toward hands-off filing. The major version cycle also cleaned up legacy interfaces, reducing future maintenance burden.
◆ Prediction
The next release cycle will likely expand what AI suggestions can target — confidence thresholds for auto-apply, more metadata fields (tags, correspondents, document types), or integration with custom field sets. A configurable trust threshold that requires human review for low-confidence suggestions and auto-applies high-confidence ones would be the natural next increment.
Joplin
6.3COLLAB
Joplin 3.7 ships AI chat, semantic search, and MCP integration — all off by default, all controllable by the user.
◆ Current state
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
◆ Where it's heading
Joplin is repositioning from a sync-agnostic note-taking app into an AI-native knowledge base, differentiated by opt-in, local-first controls. The HMD Terra M preload partnership and the warrant canary point to a deliberate push toward privacy-conscious enterprise and professional users who distrust cloud-first tools. The MCP integration is particularly strategic: it makes Joplin's note graph accessible to external orchestration pipelines without locking into any particular AI provider.
◆ Prediction
The next major release will likely expand AI chat to multi-note context — currently limited to the open note — and add more configurable MCP tools. The HTR (handwritten text recognition) project from the 2024 French government partnership is also likely to appear in a near-term release.
Alternatives to Paperless-ngx and Joplin
Other Collab products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Paperless-ngx or Joplin.
SiYuan
SiYuan v3.8.4 beta cycle adds agent-controlled database fields, MiniMax image gen, and skill file management
GitHub
GitHub Copilot gets cost-aware inference tiers as enterprise AI tooling tightens across the platform.
Nextcloud
Nextcloud runs three LTS branches in parallel, shipping bug fixes and quiet performance wins.
Teable
Teable adds Composio integration and Scheduled Routines, pivoting from spreadsheet to agentic workflow platform.
Happeo
Happeo doubles down on SEO content to own intranet search terms for mid-market buyers.
See all Paperless-ngx alternatives → · See all Joplin alternatives →
Recent activity from Paperless-ngx and Joplin
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoJoplinYour notes and AI: privacy first
- 12d agoPaperless-ngxPaperless-ngx v3.1.3
- 15d agoPaperless-ngxPaperless-ngx v3.1.2
- 16d agoPaperless-ngxPaperless-ngx v3.1.1
- 16d agoJoplinWhat's new in Joplin 3.7 ⚡
- 20d agoPaperless-ngxPaperless-ngx v3.1.0 ⚡
- 1mo agoPaperless-ngxPaperless-ngx v3.0.5
- 1mo agoPaperless-ngxPaperless-ngx v3.0.4
- 4mo agoJoplinWhat's new in Joplin 3.6
- 6mo agoJoplinIntroducing our Warrant Canary
- 7mo agoJoplinJoplin will come preloaded on the HMD Terra M
- 8mo agoJoplinWhat's new in Joplin 3.5
Frequently asked questions
What is the difference between Paperless-ngx and Joplin?
They serve adjacent needs but don't currently overlap on shipped themes. Paperless-ngx and Joplin are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Paperless-ngx better than Joplin?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Paperless-ngx and Joplin are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.
What are the best alternatives to Paperless-ngx?
Top Paperless-ngx alternatives in Collab are ranked by recent ship velocity. Browse the "Paperless-ngx alternatives" section above for the current picks, or visit /alternatives/paperless-ngx for the full list with editorial commentary on each.
What are the best alternatives to Joplin?
Top Joplin alternatives in Collab are ranked by recent ship velocity. Browse the "Joplin alternatives" section above for the current picks, or visit /alternatives/joplin for the full list with editorial commentary on each.