Mattermost
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
A side-by-side editorial comparison of HumHub and Joplin — release velocity, themes, recent moves, and the top alternatives to consider.
HumHub's public feed carries only betas, and 1.19's is still about surviving the upgrade.
The four releases visible here are all pre-release: 1.19.0-beta.2 and beta.1, and 1.18.0-beta.6 and beta.5 before them. The 1.19 line is dominated by upgrade-path and data-integrity repair — a foreign key violation aborting the comment content_id migration on databases with orphaned rows, fatal errors when purging content whose underlying record was gone, and in beta.2 a fatal SCSS build loop left behind when the 1.19 move of static/themes into protected/humhub stranded an empty theme skeleton. Beta.2 also fixes a real leak: activities from private spaces appearing in the summary mail and dashboard of users holding only a pending invite or join request.
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.
The four releases visible here are all pre-release: 1.19.0-beta.2 and beta.1, and 1.18.0-beta.6 and beta.5 before them. The 1.19 line is dominated by upgrade-path and data-integrity repair — a foreign key violation aborting the comment content_id migration on databases with orphaned rows, fatal errors when purging content whose underlying record was gone, and in beta.2 a fatal SCSS build loop left behind when the 1.19 move of static/themes into protected/humhub stranded an empty theme skeleton. Beta.2 also fixes a real leak: activities from private spaces appearing in the summary mail and dashboard of users holding only a pending invite or join request.
The 1.19 cycle is being spent making the migration survivable on real installations rather than adding capability, which is the usual shape when a schema and directory-layout change meets databases and webroots that have accumulated years of drift. Beta.2 extends that into the installer itself, where an unreachable database was offering to re-set-up a live instance during a transient outage. The permission and visibility fixes point the same way: tightening authorisation and content boundaries is cleanup of an existing model, not an extension of it.
Only beta tags appear in this feed, so a 1.19.0 stable is the obvious next milestone, but nothing here dates it. The beta.1-to-beta.2 gap of about a month is a faster rhythm than the roughly six months between the 1.18 and 1.19 betas.
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.
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.
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.
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 HumHub or Joplin.
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
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See all HumHub alternatives → · See all Joplin alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Joplin is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Joplin is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.
Top HumHub alternatives in Collab are ranked by recent ship velocity. Browse the "HumHub alternatives" section above for the current picks, or visit /alternatives/humhub for the full list with editorial commentary on each.
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.