← Back to home
Comparison · Collab

Miniflux vs Joplin

A side-by-side editorial comparison of Miniflux and Joplin — release velocity, themes, recent moves, and the top alternatives to consider.

Miniflux vs Joplin: at a glance

FeatureMinifluxJoplin
SectorCollabCollab
Velocity score2.56.3
Sparks · 30d01
Top themesrss, passkeys, postgresql, api-firstnote-taking, ai-integration, privacy, mcp
Last editorial update1mo ago1d ago
WebsiteVisit →Visit →

What is Miniflux?

A minimal RSS reader that made passkeys the only way in, then went back to polishing the reading experience.

Miniflux ships a release roughly monthly, and the 2.2.19-through-2.3.1 stretch was almost entirely security work: OIDC token signature verification, PKCE state cleanup, SHA1 replaced with HMAC-SHA256 for Google Reader API auth, an OAuth account-binding vulnerability, an open redirect, and a possible SQL injection in dynamically built ORDER BY clauses. The two most recent releases return to product — full-text search on PostgreSQL's websearch_to_tsquery, an expanded API v1, and feed language detection.

Read the full Miniflux trajectory →

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.

Read the full Joplin trajectory →

Miniflux vs Joplin: editorial side-by-side

M
Miniflux
COLLAB
2.5

A minimal RSS reader that made passkeys the only way in, then went back to polishing the reading experience.

◆ Current state

Miniflux ships a release roughly monthly, and the 2.2.19-through-2.3.1 stretch was almost entirely security work: OIDC token signature verification, PKCE state cleanup, SHA1 replaced with HMAC-SHA256 for Google Reader API auth, an OAuth account-binding vulnerability, an open redirect, and a possible SQL injection in dynamically built ORDER BY clauses. The two most recent releases return to product — full-text search on PostgreSQL's websearch_to_tsquery, an expanded API v1, and feed language detection.

◆ Where it's heading

Two threads run in parallel. The security thread has systematically closed off every authentication path that was not cryptographically strict, culminating in 2.3.0 restricting WebAuthn login to discoverable passkeys only. The product thread is API-shaped: entry ID pagination, bulk starred updates, tag filtering, and a Go client that now exposes the full feed record — all aimed at people driving Miniflux from other software rather than its own UI.

◆ Prediction

The API surface is the area with visible momentum, so the next release most likely extends filtering or bulk operations further. Whether the passkey-only stance loosens to accommodate post-password MFA is the open question these notes raise but do not answer.

J
Joplin
COLLAB
6.3

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 Miniflux 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 Miniflux or Joplin.

See all Miniflux alternatives → · See all Joplin alternatives →

Recent activity from Miniflux and Joplin

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2d agoJoplinYour notes and AI: privacy first
  2. 16d agoJoplinWhat's new in Joplin 3.7
  3. 1mo agoMinifluxFeeds and entries now carry declared language
  4. 2mo agoMinifluxSearch gains phrases, OR and negation; new bulk entry endpoints
  5. 3mo agoMinifluxOAuth binding, open redirect and SQL injection issues fixed
  6. 4mo agoMinifluxWebAuthn login restricted to passkeys only
  7. 4mo agoJoplinWhat's new in Joplin 3.6
  8. 5mo agoMinifluxOIDC token verification and Google Reader API auth hardened
  9. 6mo agoJoplinIntroducing our Warrant Canary
  10. 7mo agoJoplinJoplin will come preloaded on the HMD Terra M
  11. 8mo agoJoplinWhat's new in Joplin 3.5

Frequently asked questions

What is the difference between Miniflux and Joplin?

They serve adjacent needs but don't currently overlap on shipped themes. Joplin is currently shipping more aggressively (velocity 6.3 vs 2.5), 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.

Is Miniflux better than Joplin?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Joplin is currently shipping more aggressively (velocity 6.3 vs 2.5), 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.

What are the best alternatives to Miniflux?

Top Miniflux alternatives in Collab are ranked by recent ship velocity. Browse the "Miniflux alternatives" section above for the current picks, or visit /alternatives/miniflux 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.