Quick verdict: interactive design continuation or production pipeline
Anima has evolved beyond a one-click Figma export. A designer can paste a Figma link into Playground, generate React, inspect a live preview, adjust the result with a design-aware AI agent, and then export or publish. The Figma plugin remains useful for in-canvas inspection and code handoff, so teams can choose between a quick plugin workflow and a browser-based environment that continues building after generation. This makes Anima particularly effective for prototypes, design-led product exploration, and teams that want visible iteration before the code reaches an engineering repository.
Locofy covers the same design-to-code starting point but exposes more production-oriented entry points. Designers can use the Figma or Penpot plugin, developers can run a CLI from the terminal, and AI agents can connect through MCP. The Lightning flow analyzes layout and component structure, while Agent Mode can refine accessibility, responsiveness, theming, and internationalization after generation. Locofy wins because the output workflow can meet a designer in the canvas, a developer in the shell, or an agent in an existing coding environment without forcing every project through one hosted playground.
Design ingestion and responsive interpretation
Anima’s current Figma-to-React workflow uses the source design’s frames, Auto Layout, constraints, spacing, typography, colors, and assets to create an editable React starting point rather than a flattened screenshot. Teams can generate from selected screens or flows, preview the result, and continue with layout or copy changes in Playground. The quality ceiling still depends on the design file. Inconsistent component naming, deeply nested frames, and missing responsive intent can produce code that looks correct at one viewport but requires cleanup before it behaves like a maintained product.
Locofy is similarly dependent on design hygiene, and its own pricing FAQ recommends well-structured layers, clear names, grouping, and Figma Auto Layout. Its plugin flow lets users select a frame or section, process the design through Lightning, and refine components, layouts, and interactions before export. It also supports explicit component and prop mapping and can connect generated output to existing design-system components. That makes Locofy a better fit for organizations willing to standardize the design file as an engineering input rather than treating code generation as a rescue tool for arbitrary mockups.
Framework coverage and code ownership
Anima focuses its strongest public workflow on React, with code that can be inspected, copied, downloaded, published, or exported through GitHub-oriented handoff. It also supports common styling and responsive patterns, and the generated project is meant to remain editable. This narrower focus can be a benefit for a React product team because the experience is easier to evaluate and teach. Buyers should still test routing, forms, state, accessibility, API integration, and existing component reuse; visual accuracy alone does not prove that the generated structure matches the conventions of a mature repository.
Locofy advertises a broader target matrix across React, Next.js, HTML and CSS, Angular, Vue, Gatsby, React Native, Flutter, SwiftUI, and Jetpack Compose, with availability varying by workflow. It also supports popular UI libraries and offers mapping for code components. Broad coverage does not guarantee identical quality across every target, but it reduces the chance that the vendor dictates the application framework. For agencies, multi-platform teams, and organizations building both web and mobile interfaces, that breadth plus direct export creates a more durable ownership story than a React-centered playground alone.
Developer workflow, CLI, MCP, and collaboration
Anima’s advantage is a shared visual continuation space. Designers can produce a working preview, iterate with prompts, and hand developers a generated project rather than a static specification. That shortens the feedback loop when the main uncertainty is whether the implementation still reflects the design. Anima also positions its plugin for in-Figma inspection and code access. The workflow is approachable, but engineering teams should decide where the generated code is reviewed, how subsequent design changes are merged, and whether Playground edits or repository commits become the long-term source of truth.
Locofy makes the repository-facing path more explicit. Its CLI accepts a Figma URL from the terminal, supports an interactive refinement loop, and is designed for developers using tools such as Cursor, Claude Code, Windsurf, VS Code, or a shell. Locofy MCP brings the same design context into agent workflows, while the plugin and Builder serve designers and cross-functional teams. This range is the decisive difference: Locofy can participate in a modern agent-assisted delivery loop instead of ending at an export button. Teams still need code review and tests, but the handoff is closer to their normal development surface.
Pricing, credits, and enterprise deployment
Anima says its pricing is based on seats, code exports, and hosted projects or screens. That model is understandable for a design team, yet costs can grow in three dimensions at once if many contributors generate and host frequent iterations. The official page currently emphasizes a free starting option and an enterprise tier with custom seats, usage, security, and compliance. Before purchasing, teams should count the people who actually export code, estimate monthly export volume, and separate temporary prototype hosting from production deployment so a collaborative design experiment does not become an unexpectedly expensive application platform.
Locofy uses LDMtokens as the credit unit consumed when designs are converted to frontend code. Its public pricing page currently emphasizes enterprise delivery options including shared SaaS, dedicated private cloud, and self-hosted or on-premise deployment, along with security and compliance claims. This is attractive for large organizations but less transparent for an individual buyer than a simple export quota. A serious evaluation should run representative screens through the chosen plugin, CLI, or MCP workflow and record token consumption, regeneration frequency, cleanup time, and the cost of mapping an existing design system.
Best use cases, limits, and final choice
Choose Anima when designers need the shortest route from a Figma link to an editable React experience, when live preview and prompt-based visual iteration matter more than multi-framework coverage, or when the deliverable is a prototype that engineers will subsequently adopt. Its Playground is a compelling bridge between mockup and working interface. The main limitations are a narrower production story, quota dimensions that require forecasting, and the risk that browser-based edits diverge from repository changes. The pilot should include a real responsive flow and a round trip through GitHub or the team’s handoff process.