python-analytics-accelerator 0.2.3

Python analytics solution accelerator using composable data systems

Python analytics accelerator

A composable data system in a Python package.

This project uses:

1. User interface: Ibis (Python dataframe code and/or SQL)
2. Execution engine: DuckDB (local) and ClickHouse (remote)
3. Data storage: Delta Lake tables (local and/or cloud storage)

You can mix and match these components as needed.

[!CAUTION] This accelerator is not necessarily production-ready, but might be a good starting point. For now, it is primarily intended as an educational resource.

setup

Get up and running in 5 steps.

1. install

Install:

pip install python-analytics-accelerator

[!TIP] This makes the acc CLI available as long as you have a Python environment with the package installed active. Type acc in your terminal to see available commands.

2. initialize

Initialize:

acc init

[!TIP] Edit the config.py file to the GitHub repository and PyPI package you want to analyze.

[!IMPORTANT] You must edit the .env to add your GitHub token or otherwise set GITHUB_TOKEN as an environment variable.

You can use gh auth token to print your GitHub token if you have the GitHub CLI installed.

3. ingest

Ingest from external sources:

acc ingest

4. run data DAG

Run data DAG:

acc run

5. dashboard

Open dashboard:

acc dashboard

development

Clone and change into the repository:

gh repo clone lostmygithubaccount/python-analytics-accelerator
cd python-analytics-accelerator

Install:

pip install -r requirements.txt

Format your code:

ruff format .

contributing

Work in progress, contributions welcome. Please consider asking before substantial changes in these early days.