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Comparison · Collab

Jellyfin vs Teable

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

Jellyfin vs Teable: at a glance

FeatureJellyfinTeable
SectorCollabCollab
Velocity score5.010.0
Sparks · 30d03
Top themesmedia-server, self-hosted, release-candidates, performancescheduled-ai-agents, multi-model, automation, composio
Last editorial update15d ago7m ago
WebsiteVisit →Visit →

What is Jellyfin?

Seven candidates in, 12.0 is still trading features for correctness in the metadata layer.

RC7 continues the pattern the 12.0 train set: twelve changes, nearly all in the library and metadata layer, and none adding surface. The substantive ones tighten access control — search candidates are now filtered by user access in a single query, and permissions are enforced on similar-items lookups — alongside episode and season counting fixes for virtual items, anime provider IDs on season folders, and progress logging for data migrations. The release still restates the versioning change introduced at RC1, where the leading 10. was dropped so 10.11.x becomes 12.x, and still requires 10.10.7 or 10.11.x as an upgrade floor.

Read the full Jellyfin trajectory →

What is Teable?

Teable ships Scheduled Routines, a four-tier AI model system, and multi-model image generation — three sparks in five days

Teable has shipped three directional releases this week: Scheduled Routines (AI agent task scheduling with run history, templates, CLI control, and sidebar navigation), a four-tier AI model system (Ultra/Smart/Standard/Lite with centralized mapping), and a full AI image generation queue supporting GPT Image, Gemini, Seedream, Grok, Recraft, and five other models. The Composio connection library adds hundreds of third-party app integrations. The pace is unusually high — three sparks in five days suggests a coordinated release push.

Read the full Teable trajectory →

Jellyfin vs Teable: editorial side-by-side

J
Jellyfin
COLLAB
5.0

Seven candidates in, 12.0 is still trading features for correctness in the metadata layer.

◆ Current state

RC7 continues the pattern the 12.0 train set: twelve changes, nearly all in the library and metadata layer, and none adding surface. The substantive ones tighten access control — search candidates are now filtered by user access in a single query, and permissions are enforced on similar-items lookups — alongside episode and season counting fixes for virtual items, anime provider IDs on season folders, and progress logging for data migrations. The release still restates the versioning change introduced at RC1, where the leading 10. was dropped so 10.11.x becomes 12.x, and still requires 10.10.7 or 10.11.x as an upgrade floor.

◆ Where it's heading

The stated goal of 12.0 has been to polish the backend rewrite that shipped in 10.11.0, and seven candidates in, that is still what the changes are. What has shifted subtly across RC5 to RC7 is the kind of correction: earlier rounds were query-cost work such as SQLite caching and batched lookups, while RC7 pairs performance with access enforcement, folding permission checks into the same queries rather than filtering afterwards. That combination usually appears when a rewrite is being audited rather than extended.

◆ Prediction

The change count per candidate is falling and the remaining work is concentrated in one contributor's metadata fixes, which points to 12.0 going final rather than to an RC8 carrying anything new. Nothing in this feed indicates when.

T
Teable
COLLAB
10.0

Teable ships Scheduled Routines, a four-tier AI model system, and multi-model image generation — three sparks in five days

◆ Current state

Teable has shipped three directional releases this week: Scheduled Routines (AI agent task scheduling with run history, templates, CLI control, and sidebar navigation), a four-tier AI model system (Ultra/Smart/Standard/Lite with centralized mapping), and a full AI image generation queue supporting GPT Image, Gemini, Seedream, Grok, Recraft, and five other models. The Composio connection library adds hundreds of third-party app integrations. The pace is unusually high — three sparks in five days suggests a coordinated release push.

◆ Where it's heading

Teable is building toward an autonomous work layer on structured data: AI agents run on schedules, trigger on events, operate across hundreds of connected apps via Composio, and now generate media as part of workflows. The model tier abstraction is a platform decision that decouples users from specific model choices — a prerequisite for running cost-optimized autonomous workloads at scale. The combination of Scheduled Routines + Composio + multi-model images covers the three primitives of autonomous work: when to run, what to connect, and what to produce.

◆ Prediction

Scheduled Routines will add event-based triggers (on record change, on new row) alongside time-based scheduling, completing an event-driven automation loop that positions Teable as a structured-data alternative to Zapier for AI-native workflows.

Alternatives to Jellyfin and Teable

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 Jellyfin or Teable.

See all Jellyfin alternatives → · See all Teable alternatives →

Recent activity from Jellyfin and Teable

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

  1. 3h agoTeablerelease.2026-09-16T13-34-21Z.3121
  2. 10h agoTeableTeable ships queued multi-model AI image generation with GPT, Gemini, Grok, and six other models
  3. 1d agoTeableTeable introduces four-tier AI model system, Apple Sign-In, and Routine CLI control
  4. 5d agoTeablerelease.2026-09-11T07-36-49Z.3059
  5. 5d agoTeableTeable launches Scheduled Routines and Composio connections for hundreds of apps
  6. 6d agoTeablerelease.2026-09-10T06-21-10Z.3025
  7. 15d agoJellyfinRC7 folds permission checks into search and similar-items queries
  8. 21d agoJellyfin12.0 RC6: people and credits lookups stop full-scanning
  9. 1mo agoJellyfin12.0 RC5: SQLite cache and batched lookups cut query load
  10. 1mo agoJellyfin12.0 RC4: MP4 track detection and SyncPlay queue fixes
  11. 1mo agoJellyfin12.0 RC3 reworks bitrate reporting, speeds book collections
  12. 2mo agoJellyfin12.0 RC2 revamps the startup UI, defers heavy DB tasks in scans

Frequently asked questions

What is the difference between Jellyfin and Teable?

They serve adjacent needs but don't currently overlap on shipped themes. Teable is currently shipping more aggressively (velocity 10.0 vs 5.0), with 3 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 Jellyfin better than Teable?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Teable is currently shipping more aggressively (velocity 10.0 vs 5.0), with 3 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 Jellyfin?

Top Jellyfin alternatives in Collab are ranked by recent ship velocity. Browse the "Jellyfin alternatives" section above for the current picks, or visit /alternatives/jellyfin for the full list with editorial commentary on each.

What are the best alternatives to Teable?

Top Teable alternatives in Collab are ranked by recent ship velocity. Browse the "Teable alternatives" section above for the current picks, or visit /alternatives/teable for the full list with editorial commentary on each.