Napkin vs Banana
A detailed comparison to help you choose between Napkin and Banana.
Quick Verdict
3.5/5
Napkin
0 reviews
1.2/5
Banana
0 reviews
Napkin is rated higher (3.5 vs 1.2). Napkin lets you write and run Node.js and Python serverless functions directly in the browser with zero setup, deploying them as authenticated HTTP endpoints. Banana was an ML inference hosting platform (Docker-based, Potassium framework). The service shut down permanently on March 31, 2024; do not purchase. Alternatives: Replicate, Modal, RunPod, Beam, Baseten.
Napkin Write and deploy Node.js and Python functions as HTTP endpoints from a browser editor | Banana DEFUNCT — serverless GPU inference platform sunset Feb 2024, shut down March 31, 2024 | |
|---|---|---|
| Overview | ||
| Rating | 3.5 (0 reviews)✓ | 1.2 (0 reviews) |
| Pricing model | freemium | usage-based (historical; shut down 2024-03-31) |
| Starting price | Free tier available✓ | From $2024/mo |
| Best for | Developers who need an HTTP endpoint today — webhooks, bots, scheduled automations, and prototypes — without opening a cloud console or running infrastructure. | Nobody — the platform shut down on March 31, 2024. Use Replicate, Modal, RunPod, Beam, or Baseten for serverless GPU inference. |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Tags | ||
| Tags | free tier | gpu availableus datacenterapi access |
| Visit Napkin → | Visit Banana → | |
Napkin
Pros
- + Genuinely free plan: $0/month with 25,000 API calls, unlimited functions, custom domains, and team invites
- + One-click deploy from a browser editor — Node.js and Python, no cloud console or CLI required
- + Clear published limits: 500 MB/0.5 vCPU free (2 GB/2 vCPU Pro), 15s/30s timeouts, explicit rate caps
- + Endpoint SSL, auth, production logs, and scheduled triggers included on both tiers
- + Pro tier is capacity-only at $10 per user per month — no feature gating, no sales call
Cons
- - No published SLA, regions, or data residency; small-vendor reliability story
- - Free tier caps at 5 requests/second and a 15-second timeout — real design constraints
- - Browser-only workflow with no local development story and no obvious export path
- - Node.js and Python only — no Go, Rust, PHP, or Ruby runtimes
- - Stale limit figures circulate on marketing and third-party pages, so verify before budgeting
Banana
Pros
- + Historical: developer-friendly Docker/Potassium deployment with scale-to-zero GPU autoscaling
- + Historical: per-second GPU billing with no charge while idle
- + Historical: warm pools and model caching reduced cold starts for popular models
- + The founder published an unusually candid shutdown account and migration guidance
Cons
- - Permanently shut down on March 31, 2024 — the service cannot be purchased or used
- - Pricing was opaque even while alive ($1,200/month Team tier, per-GPU costs unpublished)
- - No published uptime SLA and no independent benchmarks
- - Startup platform risk realized: GPU economics forced closure within two months' notice
- - Third-party listings of its pricing and features conflict and cannot be verified against a live product
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