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Top 3 Python data-discovery Projects
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amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
We'll be using WSL2 for this guide, and we'll start by cloning this repo and its submodules:
Project mention: Recap: A python library for describing database tables and serialization formats with minimal type coercion. | /r/dataengineering | 2023-07-12The Github Repo: https://github.com/recap-build/recap
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python data-discovery related posts
- Quick Start Guide to Amundsen Demo 🚀
- Apache Atlas or OpenMetaData?
- Searching for Delta Lake Cataloging
- Help with Data Discoverability in a Data Lake
- Launch YC S21: Meet the Batch, Thread #6
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A note from our sponsor - WorkOS
workos.com | 28 Apr 2024
Index
What are some of the best open-source data-discovery projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | amundsen | 4,276 |
2 | sqllineage | 1,126 |
3 | recap | 306 |
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