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Python Data Libraries

Project description

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mabel is a Data Engineering platform designed to run in serverless environments.

mabel just runs when you need it, scaling to zero, making it efficient and ideal for deployments to platforms like Kubernetes, GCP Cloud Run, AWS Fargate and Knative.

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Focus on What Matters

We've built mabel to enable Data Analysts to write complex data engineering tasks quickly and easily, so they could get on with doing what they do best.

from mabel import Reader

data = Reader(dataset="test_data")
print(data.count())

Key Features

  • On-the-fly compression
  • Low-memory requirements, even with terabytes of data
  • Indexing and partitioning of data for fast reads
  • Cursors for tracking reading position between processes
  • Partial SQL DQL (Data Query Language) support
  • Schema and data_expectations validation

Installation

From PyPI (recommended)

pip install --upgrade mabel

From GitHub

pip install --upgrade git+https://github.com/mabel-dev/mabel

A preview release of mabel is available from PyPI

pip install --upgrade mabelbeta

You may need to manually uninstall mabel before the test version will install.

These versions are usually labelled with an a (signifying alpha status) in the library version. Alpha versions are more likely to have functional issues.

Guides

How to Read Data

Dependencies

  • orjson for JSON (de)serialization
  • bitarray for handling high density boolean data
  • siphashc for non-cryptographic hashing
  • pydantic to define internal data models
  • zstandard for real-time on disk compression
  • LZ4 for real-time in memory compression
  • simdjson for fast JSON deserialization
  • cython for precompilation

There are a number of optional dependencies which are usually only required for specific features and functionality. These are listed in tests/requirements.txt.

Integrations

mabel comes with adapters for the following data services:

Service
GCP Storage Google Cloud Storage
MinIo MinIO
AWS S3 AWS S3
Azure Azure Blob Storage
Local Local Storage

Mabel is extensible with adapters for other data services as required.

Deployment and Execution

mabel supports running on a range of platforms, including:

Platform
Docker Docker
Kubernetes Kubernetes
Windows Windows (Notice1)
Linux Linux (Notice2)

Notice1 - Some non-core features are not available on Windows.
Notice2 - Tested on Debian (WSL) and Ubuntu.

How Can I Contribute?

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.

If you have a suggestion for an improvement or a bug, raise a ticket or start a discussion.

Want to help build mabel? See the contribution guidance.

License

Apache 2.0

Project details


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