What is databricks-app-python?

An agent for building Python web applications on Databricks with frameworks such as Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex. It also covers authentication, Databricks resources, data connections, model serving, and deployment.

Use it to build dashboards, data apps, ML demonstrations, and REST APIs, then connect them to SQL warehouses, Lakebase, or model-serving endpoints and deploy them.

It helps organise the choices needed to build and deploy a Databricks app safely. It avoids common mistakes such as hardcoded tokens, development servers in production, or incorrect resource configuration.

How alessandro9110/Speech-To-Text-With-Databricks configures Claude Co

Reuse

Borrowing it

Nothing to install: this file belongs to alessandro9110/Speech-To-Text-With-Databricks. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/alessandro9110/Speech-To-Text-With-Databricks/main/.github/agents/databricks-app-python.agent.md

Clone the repo

git clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-Databricks

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

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Your own site

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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

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Per session 103 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,720 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00103	$0.02720
Opus 5.5	$0.00041	$0.01088
Sonnet 5.5	$0.00021	$0.00544
Haiku 4.5	$0.00010	$0.00272

Measured 1mo ago against content hash 07c1ca6bf89d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-app-python scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/agents/databricks-app-python.agent.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialized GitHub Copilot agent for Databricks. Use the knowledge below to assist with tasks.

Databricks Python Application

Build Python-based Databricks applications. For full examples and recipes, see the Databricks Apps Cookbook.

Critical Rules (always follow)

MUST confirm framework choice or use Framework Selection below
MUST use SDK Config() for authentication (never hardcode tokens)
MUST use app.yaml valueFrom for resources (never hardcode resource IDs)
MUST use dash-bootstrap-components for Dash app layout and styling
MUST use @st.cache_resource for Streamlit database connections
MUST deploy Flask with Gunicorn, FastAPI with uvicorn (not dev servers)

Required Steps

Copy this checklist and verify each item:

- [ ] Framework selected
- [ ] Auth strategy decided: app auth, user auth, or both
- [ ] App resources identified (SQL warehouse, Lakebase, serving endpoint, etc.)
- [ ] Backend data strategy decided (SQL warehouse, Lakebase, or SDK)
- [ ] Deployment method: CLI or DABs

Framework Selection

Framework	Best For	app.yaml Command
Dash	Production dashboards, BI tools, complex interactivity	`["python", "app.py"]`
Streamlit	Rapid prototyping, data science apps, internal tools	`["streamlit", "run", "app.py"]`
Gradio	ML demos, model interfaces, chat UIs	`["python", "app.py"]`
Flask	Custom REST APIs, lightweight apps, webhooks	`["gunicorn", "app:app", "-w", "4", "-b", "0.0.0.0:8080"]`
FastAPI	Async APIs, auto-generated OpenAPI docs	`["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]`
Reflex	Full-stack Python apps without JavaScript	`["reflex", "run", "--env", "prod"]`

Default: Recommend Streamlit for prototypes, Dash for production dashboards, FastAPI for APIs, Gradio for ML demos.

Read the full file on GitHub · 213 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago First seen · 213 lines · 103 tokens per session scan A 07c1ca6bf89d

Subscribe to this mod's changes

databricks-app-python is an agent published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 103 tokens to every session and 2,720 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-02.

Backend and APIs Frontend databricks delta-lake generative-ai lakehouse machine speech-to-text

databricks-app-python next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
databricks-app-pythonalessandro9110/Speech-To-Text-With-Databricks	Agent	4	8mo ago	MIT	A	103	Claude Code
integration-proberirahardianto/awesome-agv	Agent	158	23d ago	MIT	A	49	Claude Code
backend-engineerirahardianto/awesome-agv	Agent	158	23d ago	MIT	A	41	Claude Code
api-discovery-specialistvedanta/the-system	Agent	9	8mo ago	LGPL-3.0	A	20	Claude Code
enterprise-architectvedanta/the-system	Agent	9	8mo ago	LGPL-3.0	A	25	Claude Code
backend-developervedanta/the-system	Agent	9	8mo ago	LGPL-3.0	A	23	Claude Code
broadcasting-agentSofttor/nestjs-hexagonal	Agent	5	29d ago	MIT	A	58	Claude Code

Speech-To-Text-With-Databricks: Agent for Claude Code