Release v0.1.1 (What’s new?).

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Welcome to abstract_tracker Documentation#

📔 See Full Documentation HERE.

This library help you track the business critical task status moving from pending (todo), to in_progress, then possibly to failed (also with error traceback information) or succeeded. If it failed too many times, it will be marked as exhausted. If you never want to see it anymore, it will be marked as ignored.

This library provides the abstraction layer that can work with arbitrary backend. For instance, local file, AWS S3, SQL Database, AWS DynamoDB, Redis, MongoDB, …, as you wish.


abstract_tracker is released on PyPI, so all you need is to:

$ pip install abstract-tracker

To upgrade to latest version:

$ pip install --upgrade abstract-tracker

Table of Content#

About the Author#

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Sanhe Hu is a seasoned software engineer with a deep passion for Python development since 2010. As an author and maintainer of 20+ open-source projects, I bring a wealth of experience to the table. As a Senior Solution Architect and Subject Matter Expert in Amazon Web Services, Cloud Engineering, DevOps, Big Data, and Machine Learning, I thrive on helping clients with platform design, enterprise architecture, and strategic roadmaps.

Talk is cheap, show me the code:

API Document#