AnkaFlow
Run your data pipelines in Python or the browser.
AnkaFlow is a YAML + SQL-powered data pipeline engine that works in local Python, JupyterLite, or fully in-browser via Pyodide.
🚀 Features
- Run pipelines using DuckDB with SQL and optional Python
- Supports Parquet, REST APIs, BigQuery, ClickHouse (server only)
- Browser-compatible: works in JupyterLite, GitHub Pages, VS Code Web and more
📦 Install
# Server
pip install ankaflow[server]
# Dev
pip install -e .[dev,server]
🛠 Usage
> ankaflow /path/to/stages.yaml
from ankaflow import (
ConnectionConfiguration,
Stages,
Flow,
)
connections = ConnectionConfiguration()
stages = Stages.load("path/to/stages.yaml")
flow = Flow(stages, connections)
flow.run()
🔁 What is Stages?
Stages is the object that holds your pipeline definition parsed from a YAML file.
Each stage is one of: tap, transform, or sink.
Example
- name: Extract Data
kind: tap
connection:
kind: Parquet
locator: input.parquet
- name: Transform Data
kind: transform
query: SELECT * FROM "Extract Data" WHERE "amount" > 100
- name: Load Data
kind: sink
connection:
kind: Parquet
locator: output.parquet
📖 Documentation
1 maintainer
Metadata
1 maintainer
Release files for ankaflow 0.13.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ankaflow-0.13.0.tar.gz | 84.2 kB | With provenance | Details for ankaflow-0.13.0.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ankaflow-0.13.0-py3-none-any.whl | Python 3 | none | any | Details for ankaflow-0.13.0-py3-none-any.whl |
Total release size: 184.6 kB
Release files / ankaflow-0.13.0.tar.gz
| Download URL | ankaflow-0.13.0.tar.gz |
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| Size | 84.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | ankaflow-0.13.0-py3-none-any.whl |
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| Size | 100.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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