bolt.diy vs Tabby
Short answer
bolt.diy: Open-source prompt-to-web-app builder that writes, runs and previews full-stack apps in the browser. Tabby: Self-hosted AI coding assistant (Copilot alternative) for your team. Both are in our Coding assistants category.
Choose bolt.diy if you want: no GPU server needed and fewer license conditions (Permissive vs Open core).
Choose Tabby if you want: larger community (33.9k vs 20.0k GitHub stars) and simpler deploy (one container vs a multi-container stack).
bolt.diy publishes no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
bolt.diy vs Tabby side by side
| bolt.diy | Tabby | |
|---|---|---|
| Category | Coding assistants | Coding assistants |
| What it is | Open-source prompt-to-web-app builder that writes, runs and previews full-stack apps in the browser. | Self-hosted AI coding assistant (Copilot alternative) for your team. |
| License | MIT (uses the WebContainers API, which has separate commercial terms) | Apache-2.0 (ee directory under a separate license) |
| License type | Permissive | Open core |
| License conditions | bolt.diy itself is MIT: internal and commercial use, modification and redistribution allowed; keep the license notice. It uses the StackBlitz WebContainers API, which has specific commercial licensing terms for enterprise deployment. | Everything outside the "ee/" directory is Apache-2.0. The ee/ directory has its own license. |
| Status | Active | Active |
| GitHub stars | 20.0k | 33.9k |
| Last commit | Oct 14, 2026 | Jun 30, 2026 |
| Latest release | v1.0.1 | v0.32.0 |
| Minimum hardware | Not published | Not published |
| Recommended hardware | Not published | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | No. It calls the model providers you configure; no GPU requirement is documented. | NVIDIA GPU recommended. CodeLlama-7B in int8 needs about 8 GB VRAM. int8 needs compute capability 7.0+ (or 6.1), float16 7.0+, bfloat16 8.0+. |
| Est. server cost | Not estimated | GPU server (not estimated) |
| Deploy method | Docker Compose (image built from source) | Docker (CUDA) |
| Known gotchas | 4 listed | 2 listed |
| Telemetry | Not documented | On by default |
| Calls home by default | Not documented | Not documented |
| SSO (OIDC / SAML / LDAP) | Not documented | Paid / enterprise only (LDAP paid) |
| Audit log | Not documented | Not documented |
| RBAC | Not documented | Not documented |
| Details | Full bolt.diy guide → | Full Tabby guide → |
Key differences
- License: bolt.diy: MIT (uses the WebContainers API, which has separate commercial terms) (Permissive). Tabby: Apache-2.0 (ee directory under a separate license) (Open core).
- GPU: bolt.diy: optional / see notes. Tabby: needed for practical use.
- Est. server cost: bolt.diy: not estimated (no official RAM figure). Tabby: GPU server (not estimated).
- Deploy: bolt.diy: Docker Compose (image built from source) · multi-container stack. Tabby: Docker (CUDA) · single container.
- GitHub stars: bolt.diy: 20.0k. Tabby: 33.9k.
- Last commit: bolt.diy: Oct 14, 2026. Tabby: Jun 30, 2026.
- Latest release: bolt.diy: v1.0.1 (Oct 12, 2026). Tabby: v0.32.0 (Jan 25, 2026).
Same for both: Category: Coding assistants; Official hardware: not published; Status: Active.
bolt.diy vs Tabby: FAQ
bolt.diy or Tabby: which should a small business choose?
Choose bolt.diy if you want: no GPU server needed and fewer license conditions (Permissive vs Open core). Choose Tabby if you want: larger community (33.9k vs 20.0k GitHub stars) and simpler deploy (one container vs a multi-container stack). bolt.diy publishes no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, bolt.diy or Tabby?
bolt.diy: not estimated (no official RAM figure). Tabby: GPU server (not estimated). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do bolt.diy and Tabby need?
bolt.diy: not published. Tabby: not published. Tabby needs a GPU for practical use.
What is the license difference between bolt.diy and Tabby?
bolt.diy: MIT (uses the WebContainers API, which has separate commercial terms) (Permissive). bolt.diy itself is MIT: internal and commercial use, modification and redistribution allowed; keep the license notice. It uses the StackBlitz WebContainers API, which has specific commercial licensing terms for enterprise deployment. Tabby: Apache-2.0 (ee directory under a separate license) (Open core). Everything outside the "ee/" directory is Apache-2.0. The ee/ directory has its own license. This is a summary, not legal advice.
Is bolt.diy or Tabby more actively maintained?
bolt.diy: Active, last commit Oct 14, 2026. Tabby: Active, last commit Jun 30, 2026. GitHub data refreshed Nov 3, 2026.
Which is easier to deploy, bolt.diy or Tabby?
bolt.diy installs via Docker Compose (image built from source) (multi-container stack); Tabby via Docker (CUDA) (single container). bolt.diy lists 4 known gotchas and Tabby lists 2; see each app page.
Related
Sources
- bolt.diy GitHub repository: github.com/stackblitz-labs/bolt.diy
- bolt.diy documentation: stackblitz-labs.github.io/bolt.diy/
- bolt.diy license: github.com/stackblitz-labs/bolt.diy/blob/main/LICENSE
- bolt.diy hardware requirements: github.com/stackblitz-labs/bolt.diy#prerequisites
- bolt.diy deploy instructions: github.com/stackblitz-labs/bolt.diy#running-with-docker
- Tabby GitHub repository: github.com/TabbyML/tabby
- Tabby documentation, Tabby deploy instructions: tabby.tabbyml.com/docs/quick-start/installation/docker/
- Tabby license: github.com/TabbyML/tabby/blob/main/LICENSE
- Tabby hardware requirements: tabby.tabbyml.com/docs/faq/
- Hetzner Cloud pricing used for cost estimates (read 2026-11-01): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.