Skip to main content

A minimal modern data stack with working data pipelines in a single Docker container.

Project description

contributors-shield Forks Stargazers Issues MIT License LinkedIn

Logo

mimosa

A minimal modern data stack with working data pipelines in a single Docker container.
Explore the docs »

Report Bug · Request Feature


Table of Contents
  1. About the Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. Contact

(back to top)

About the Project



THIS IS A CONCEPT AND WORK IN PROGRESS

A minimal modern data stack with working data pipelines in a single Docker container. This is similar in concept to mimodast using alternative software options.

Useful for an exploration of the tools involved:

(back to top)

Getting Started

Prerequisites

(back to top)

Installation

(back to top)

Usage

(back to top)

Roadmap

Consider:
  • Get source data (Using REST API)
  • Transform data, possibly SQL Mesh or dbt.
  • dlt update/error messages using Slack
  • [-] Storage (currently local DuckDB, maybe consider some cloud alternative. Though that would stray from the data stack in a Docker concept.)
  • Scheduling Tool
  • Reporting tool (Metabase?)

(back to top)

Contributing

Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also open a feature request or bug report. Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

(back to top)

Contact

Project Link: mimosa

(back to top)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ternyxmimosa-0.0.2.tar.gz (15.0 kB view details)

Uploaded Source

Built Distribution

ternyxmimosa-0.0.2-py3-none-any.whl (16.4 kB view details)

Uploaded Python 3

File details

Details for the file ternyxmimosa-0.0.2.tar.gz.

File metadata

  • Download URL: ternyxmimosa-0.0.2.tar.gz
  • Upload date:
  • Size: 15.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.5 Linux/5.15.90.1-microsoft-standard-WSL2

File hashes

Hashes for ternyxmimosa-0.0.2.tar.gz
Algorithm Hash digest
SHA256 523ace2577553a061409931647ce5d79943d9fdb08d4604b1ff1208ba6576097
MD5 82926afd018bacb325884c51d157739d
BLAKE2b-256 5d645fb46f35f9a7cfbab523b2ee91c38607678bd0dcd54d502f1a4af27047d1

See more details on using hashes here.

File details

Details for the file ternyxmimosa-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: ternyxmimosa-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 16.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.5 Linux/5.15.90.1-microsoft-standard-WSL2

File hashes

Hashes for ternyxmimosa-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 978c9b8b16679107e87cc6a8a350e1605ef96a901bb9f1dfd325b270b2c0c3ae
MD5 f9152c0efc7e575d8d149cfe95c78ab0
BLAKE2b-256 b0ba95ab8726d749b07c974e5b4be6616d194fab7560b1d2fc8689e6d674c4ff

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page