This release is a pre-release and may not be stable for production use.
Dataface Playground
Interactive editor for Dataface dashboards — live YAML editing with a real-time preview, share links, and an AI copilot for dashboard authoring.
Install
pip install dataface-playground
The package installs both the dft-playground console script and the
dft playground subcommand on the dft CLI.
Run
dft-playground # auto-resolved port
dft playground # equivalent via the dft CLI
dft playground --port 3000
dft playground --base-dir ./examples
dft playground --data ./my_data.db
dft playground --openai-key sk-... # enables AI copilot
The playground opens at http://127.0.0.1:<port> and ships a curated
gallery of example dashboards covering charts, layouts, tables, KPIs, and
variable-driven interactions.
What's in the wheel
- FastAPI app: live YAML editor, WebSocket preview, share-link cache, AI
copilot (
/api/ai/chat— OpenAI-backed whenOPENAI_API_KEYis set) - A small curated example gallery under
examples_data/examples/(DuckDB-backed) so a fresh install renders something on first launch
Configuration
| Variable | Default | Description |
|---|---|---|
OPENAI_API_KEY |
— | Enables the AI copilot sidebar |
DFT_PLAYGROUND_MODE |
local (set by CLI) |
local allows inline data sources; deployed requires an allowlisted source |
DFT_DOCS_URL |
— | Base URL for per-face docs: links rendered in the gallery |
Known limitations
Share cache is in-memory. Shared dashboard links are invalidated when the server restarts. The playground is meant for local editing and short-lived demos, not as a persistent share-link service.
License
Apache-2.0 — see LICENSE.
2 maintainers
Metadata
2 maintainers
Release files for dataface-playground 0.1.1.dev100
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