Mattermost
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
Comparison · Collab
Joplin vs Kavita
A side-by-side editorial comparison of Joplin and Kavita — release velocity, themes, recent moves, and the top alternatives to consider.
Joplin vs Kavita: at a glance
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.
What is Kavita?
Kavita overhauls its Kavita+ premium tier and integrates Hardcover for book recommendations, its most significant monetization move in three years.
Kavita v0.9.1 delivers a complete redesign of Kavita+, the platform's premium subscription layer. The Hardcover integration — adding OAuth login and recommendation support — arrived alongside Hardcover's own launch of OAuth and Vibes recommendations, with v0.9.1.4 required to enable recommendations. The 50x scanner performance improvement from v0.8.9 continues to pay dividends for large libraries.
Joplin vs Kavita: editorial side-by-side
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.
Kavita
6.3COLLAB
Kavita overhauls its Kavita+ premium tier and integrates Hardcover for book recommendations, its most significant monetization move in three years.
◆ Current state
Kavita v0.9.1 delivers a complete redesign of Kavita+, the platform's premium subscription layer. The Hardcover integration — adding OAuth login and recommendation support — arrived alongside Hardcover's own launch of OAuth and Vibes recommendations, with v0.9.1.4 required to enable recommendations. The 50x scanner performance improvement from v0.8.9 continues to pay dividends for large libraries.
◆ Where it's heading
The Kavita+ overhaul repositions the premium tier from a metadata downloader into a connected reading ecosystem. Hardcover integration is the first external service partnership for Kavita+, suggesting the project is moving beyond a standalone reader toward a recommendation and discovery layer. The recurring pattern of epub reader and reading experience improvements reflects a platform that has matured past basic library management.
◆ Prediction
Kavita will deepen the Hardcover integration with additional recommendation signals and expand Kavita+ to include connections to other reading platforms — likely Anilist or similar — as the subscription layer evolves from metadata tools to a reading discovery platform.
Alternatives to Joplin and Kavita
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 Joplin or Kavita.
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 Joplin alternatives → · See all Kavita alternatives →
Recent activity from Joplin and Kavita
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoJoplinYour notes and AI: privacy first
- 13d agoKavitav0.9.1.4 - Hardcover Recommendations + Hotfix
- 16d agoJoplinWhat's new in Joplin 3.7 ⚡
- 18d agoKavitav0.9.1 - Kavita+ Overhaul and 100K Installs! ⚡
- 4mo agoKavitav0.9.0.2 - Security Hotfix
- 4mo agoJoplinWhat's new in Joplin 3.6
- 4mo agoKavitav0.9.0 - Reading List Overhaul and Spring Cleaning
- 6mo agoJoplinIntroducing our Warrant Canary
- 7mo agoJoplinJoplin will come preloaded on the HMD Terra M
- 8mo agoKavitav0.8.9.1 Hotfix
- 8mo agoKavitav0.8.9 - New Stats pages, Journal Style reading, 50x Faster Scanner, and so much more!
- 8mo agoJoplinWhat's new in Joplin 3.5
Frequently asked questions
What is the difference between Joplin and Kavita?
They serve adjacent needs but don't currently overlap on shipped themes. Joplin and Kavita 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 Joplin better than Kavita?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Joplin and Kavita 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 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.
What are the best alternatives to Kavita?
Top Kavita alternatives in Collab are ranked by recent ship velocity. Browse the "Kavita alternatives" section above for the current picks, or visit /alternatives/kavita for the full list with editorial commentary on each.