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Kuwala: No‑code platform to build geospatial analytics fast

Empowers BI analysts and engineers to craft end‑to‑end data pipelines and spatial insights without coding, using Airbyte, dbt, and OpenStreetMap data.

From the repo · “Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times”

810 stars+1★ this week54 forksJavaScriptGuide quality 9/10 · reviewed Oct 16Updated 8/10/2022100% free · open source
What it does

Kuwala allows you to build powerful analytics workflows with a no-code data platform, integrating tools like Airbyte, dbt, and Great Expectations, and providing access to third-party geospatial data.

When to use it
  • •You need to integrate multiple data sources and tools into a single analytics workflow
  • •You want to leverage geospatial data, such as demographics or point of interest data, in your analytics
  • •You prefer a visual, no-code interface for building and managing your data pipelines
Ready-to-paste prompt
Create a new workflow that integrates High-resolution demographics data with Google Popular Times data to analyze foot traffic patterns using `.dbt` to transform the data and `Great Expectations` to validate the results
Heads up: Kuwala requires a compatible version of Node.js (at least 14.17.0) and npm (at least 6.14.13) to run, so ensure your development environment meets these prerequisites before installing and running Kuwala
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✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/kuwala && curl -fsSL https://workflowstacks.com/api/skills/kuwala/claude-skill -o ~/.claude/skills/kuwala/SKILL.md
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Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How Kuwala: No‑code platform to build geospatial analytics fast works
Codeflow
Free to inspect

Kuwala: No‑code platform to build geospatial analytics fast is a large JavaScript project (~16k lines across 326 code files). Setup is light: runs with Docker. Last commit 51 months ago, Apache-2.0 license, has a test suite.

Size
Large codebase
~16k lines · 326 code files · ~2 h to skim
Setup
Light setup
Runs with Docker.
Runs on
Python · Docker
No API keys detected
JavaScript 51%Python 43%Jupyter Notebook 3%R 2%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
  3. 3
    kuwala/__init__.py
    Inside kuwala/ — the main logic begins here
What's in each folder
kuwala/Core code — the actual logic443 files
docs/Documentation8 files
.github/CI / automation (GitHub Actions)13 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseLast update 51 mo ago
Quick Actions
Details
Creator
kuwala-io
Language
JavaScript
Category
devtools
Published
4/8/2021

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