E2B vs Flowise
A detailed comparison to help you choose between E2B and Flowise.
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Verdict: E2B wins
E2B scores 4.1/5, edging out Flowise at 4.0/5. AI engineers whose agents execute generated or untrusted code and who want isolated, metered-by-the-second sandboxes instead of running that code on production servers.
E2B Secure cloud sandbox environment for AI agent execution and testing | Flowise Visual LLM app builder with drag and drop | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.0 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | AI engineers whose agents execute generated or untrusted code and who want isolated, metered-by-the-second sandboxes instead of running that code on production servers. | 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 | free tierapi accessopen source | open sourceno code |
| Visit E2B → | Visit Flowise → |
E2B
Pros
- + Sub-second sandbox startup in my quickstart runs — create, execute, and read files felt like spawning a process, not provisioning infrastructure
- + Firecracker microVM isolation with outbound network controls kept agent-generated code away from my credentials and services
- + Per-second billing with storage included and a public workload estimator — I could model my ~$166/month usage case before adding the Pro base fee
- + Hobby tier is a real evaluation: $0 with a one-time $100 usage credit, no credit card, 20 concurrent sandboxes
- + Python and JavaScript SDKs with pause/resume persistence and prebuilt dependency templates shorten integration to an afternoon
Cons
- - No local-only mode — the core product assumes cloud connectivity, which fails airgapped requirements without an enterprise deal
- - Per-second CPU/RAM billing punishes sloppy sandbox lifecycle management; idle open sandboxes keep metering
- - Concurrency ceilings (20 on Hobby, 100 on Pro) require paid add-ons for larger fleets — up to 1,100 concurrent on Pro+
- - Deliberately narrow: no agent orchestration, memory, or model routing included — bring your own framework
- - Some integrations (the Vercel AI SDK 7 sandbox package) were marked experimental in the docs at time of writing
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, E2B or Flowise?▼
E2B scores higher at 4.1/5 vs 4.0/5 for Flowise, making it the better-rated option in our comparison.
What is the difference between E2B and Flowise?▼
E2B: E2B gives each AI agent an isolated cloud sandbox to run code, browse and use tools, hosted by E2B or in your own AWS or GCP account. Flowise: Flowise is an open-source visual builder for LLM applications and agents, wiring models, tools and data sources together on a canvas.
Is E2B or Flowise more affordable?▼
E2B starts at €0/mo, Flowise starts at €0/mo. Check the comparison table above for current pricing.
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