Astra
Two release trains, zero new features — Astra has been in pure maintenance mode since spring.
A side-by-side editorial comparison of Air and LottieFiles — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Air | LottieFiles |
|---|---|---|
| Sector | Design | Design |
| Velocity score | 8.8 | 6.3 |
| Sparks · 30d | 1 | 0 |
| Top themes | dam, creative-agents, canvas, localization | motion-design, lottie-creator, ai-generation, mcp-integration |
| Last editorial update | 4d ago | 3mo ago |
| Website | — | — |
Air's asset library grew an agent, and the agent is learning to keep what it does.
Canvas has become the centre of the product. In the last three weeks it gained an agent that edits existing video rather than only generating new clips, two additional video models, the ability to save any completed workflow as a reusable skill, @ mentions that pull in board assets alongside Brand Kit colours, fonts and logos, and now in-image text translation across 33 languages. The library side kept moving too, with manual person tagging where facial recognition falls short, current-version share links, frame-level timeline zoom, and a batch of video features covering burned-in captions, transcript editing and sub-clipping.
LottieFiles ships an MCP server alongside generative tooling — Lottie Creator is becoming AI-native.
LottieFiles is shipping aggressively across three threads: AI authoring (Prompt to Vector 2.0, AI-driven scene generation), agentic integration (Lottie Creator now connects to Claude, Cursor, and any MCP client), and creator-tool depth (curved-path animation, freehand vector drawing, version history, intelligent keyframe simplification). The .lottie file format gained multi-animation support, and a Figma plugin now translates Figma prototype interactions into production animations.
Canvas has become the centre of the product. In the last three weeks it gained an agent that edits existing video rather than only generating new clips, two additional video models, the ability to save any completed workflow as a reusable skill, @ mentions that pull in board assets alongside Brand Kit colours, fonts and logos, and now in-image text translation across 33 languages. The library side kept moving too, with manual person tagging where facial recognition falls short, current-version share links, frame-level timeline zoom, and a batch of video features covering burned-in captions, transcript editing and sub-clipping.
Air is converting a digital asset manager into a place where assets are produced and adapted, not just stored and approved. The skills feature is the pivot point: it turns one-off agent instructions into named, repeatable operations, which is how a creative team's conventions become part of the tool. Brand Kit entering the @ mention namespace points the same way — the agent is being given the brand's own vocabulary as addressable material, so generated work starts from house colours and logos rather than a generic prompt.
Expect skills to gain sharing or workspace-level scope, since a saved workflow is far more valuable to a team than to the person who recorded it. The translation and captioning work together suggests localisation is being assembled as a workflow rather than left as isolated features.
LottieFiles is shipping aggressively across three threads: AI authoring (Prompt to Vector 2.0, AI-driven scene generation), agentic integration (Lottie Creator now connects to Claude, Cursor, and any MCP client), and creator-tool depth (curved-path animation, freehand vector drawing, version history, intelligent keyframe simplification). The .lottie file format gained multi-animation support, and a Figma plugin now translates Figma prototype interactions into production animations.
LottieFiles is positioning Creator as the canvas where motion design and AI tooling meet — both as a generation source (text-to-vector, scene generation) and as a target other AI assistants can manipulate via MCP. The Figma interaction-to-animation feature suggests a deliberate strategy of importing intent from upstream design tools rather than asking designers to redesign in Lottie Creator. File format work (multi-animation .lottie, smaller files at same fidelity) keeps Lottie viable as the underlying motion-graphics format on the web.
Expect deeper MCP-driven workflows — agents that take a brief and produce a finished Lottie file inside Creator without human authoring — and additional importers from After Effects, Rive, or Spline. The Figma interaction bridge is likely to be replicated for other prototyping tools (Framer, ProtoPie). Generative motion is a strong candidate for next major surface.
Other Design 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 Air or LottieFiles.
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See all Air alternatives → · See all LottieFiles alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Air is currently shipping more aggressively (velocity 8.8 vs 6.3), 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. Air is currently shipping more aggressively (velocity 8.8 vs 6.3), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Design products to evaluate alongside.
Top Air alternatives in Design are ranked by recent ship velocity. Browse the "Air alternatives" section above for the current picks, or visit /alternatives/air for the full list with editorial commentary on each.
Top LottieFiles alternatives in Design are ranked by recent ship velocity. Browse the "LottieFiles alternatives" section above for the current picks, or visit /alternatives/lottiefiles for the full list with editorial commentary on each.