Skywork AI vs Flowise
A detailed comparison to help you choose between Skywork AI and Flowise.
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Verdict: Flowise wins
Flowise scores 4.0/5, edging out Skywork AI at 3.5/5. Developers and technical teams who want visual control over LLM pipelines and are happy to self-host or manage their own production runtime.
Skywork AI AI-agent voor documenten & slides | Flowise Visual LLM app builder with drag and drop | |
|---|---|---|
| Rating | 3.5 (1 review) | 4.0 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | Pricing varies | Free tier available |
| Best For | Analysts, marketers and creators who need fast first drafts of reports and decks in several formats and are happy to edit and fact-check the output. | Developers and technical teams who want visual control over LLM pipelines and are happy to self-host or manage their own production runtime. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | — | open sourceno code |
| Visit Flowise → |
Skywork AI
Pros
- + One brief produces documents, decks, sheets, web pages, images, video and podcasts — in my test a single research brief returned an editable deck and a matching document without re-prompting
- + Credit cost preview before each task matched the actual deduction in my runs, which is not common among credit-metered agents
- + Per-page deck regeneration preserved the deck's styling in my testing instead of resetting themes
- + Deep Research mode renders real charts with inline citations, and scheduled tasks run briefs while you are away
Cons
- - Research grounding is shallow on data-heavy topics — I traced at least one chart figure to a source that restated rather than measured it
- - The $1 seven-day trial auto-converts and is the subject of most billing complaints I found in public reviews
- - Credit caps differ across sources and sit behind a login wall, so you cannot audit them before paying; credits do not roll over
- - Free tier output is personal-use only, and heavy Deep Research decks can consume several hundred credits apiece
- - Offer layering (workspace plans vs Ultra vs Skywork Note device memberships) is easy to misread at checkout
Flowise
Pros
- + Node canvas gives LangChain-level control over retrieval, agents, and tools without writing code — my retrieval agent took one sitting
- + Self-host path is real: npm or Docker, minutes to localhost:3000, Apache 2.0 core license
- + Human-in-the-loop review nodes make the agents-propose-humans-release pattern easy to wire
- + Wide model and vector-store support (100+ LLMs, embeddings, vector DBs per the vendor) keeps you off proprietary lock-in
- + Evaluations, metrics, and run observability are built into the builder rather than bolted on
Cons
- - Node picker presumes you understand embeddings, chains, and retrieval strategies — beginners are lost quickly
- - Production self-host means doing your own persistence, secrets, queue/workers, and uptime — time not visible in the free price
- - Enterprise identity and permission features live under a commercial license inside the same repo
- - Cloud free tier (100 predictions/month) is too small to judge real performance
- - Fast-moving node surface and uneven community templates mean upgrades can break flows
Frequently Asked Questions
Which is better, Skywork AI or Flowise?▼
Flowise scores higher at 4.0/5 vs 3.5/5 for Skywork AI, making it the better-rated option in our comparison.
What is the difference between Skywork AI and Flowise?▼
Skywork AI: Skywork is an AI workspace agent that produces documents, slide decks, spreadsheets, podcasts and web pages from a brief, with research built in. Flowise: Flowise is an open-source visual builder for LLM applications and agents, wiring models, tools and data sources together on a canvas.
Is Skywork AI or Flowise more affordable?▼
Skywork AI starts at €0/mo, Flowise starts at €0/mo. Check the comparison table above for current pricing.
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