OpenMetadata
awesome-data-catalogs
OpenMetadata | awesome-data-catalogs | |
---|---|---|
26 | 9 | |
4,140 | 580 | |
4.9% | 3.3% | |
10.0 | 4.2 | |
6 days ago | 7 months ago | |
TypeScript | ||
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpenMetadata
-
How to Dynamically Adjust the Height of a Textarea in ReactJS
In this blog post, I have demonstrated how I addressed the challenge of dynamically adjusting the height of a textarea element based on its content, preventing the need for vertical scrolling in the title section of the OpenMetadata Knowledge article page.
-
Blog - Project Nessie: A Look in the Depths
How does this compare with https://github.com/open-metadata/OpenMetadata
-
What is your favorite data catalog?
u/cmcau try https://open-metadata.org much easier to setup , for details https://docs.open-metadata.org and for any support https://slack.open-metadata.org
-
Data Governance Hands On with Amazon DataZone
Then, a pool of tools appeared on the market with features that allow covering some of the challenges cited, especially those related to data cataloging. Informatica's tool is perhaps the best known among the licensed. Among the open source tools, I highlight Data Hub (www.datahubproject.io) developed on LinkedIn, Open Metadata (https://open-metadata.org/) and Amundsen (https://www.amundsen.io /) powered by Lyft. In addition to cataloging and discovering data artifacts, these tools allow for a view of data lineage, including technical documentation and business terms, and building relationships between data artifacts. Also, it is possible to register data owners, the people responsible for the data in those tools. This greatly facilitates access request and evaluation process (which today is a major bottleneck).
-
What OSS are you using for data contracts?
Probably, in order to have it integrate with tools like OpenLineage and OpenMetadata and such I will have to make open-source contributions.
-
Thoughts around decube.io (data observability and catalog platform)
We are the team behind OpenMetadata . Our mission is to build a centralized metadata platform that offers data discovery, collaboration, governance and quality. We believe that having tool for each of these categories not only result user frustration but metadata silos.
-
Great expectations?
As anyone ever tried open metadata for data QA testing? Curious about that https://open-metadata.org/
-
Our data catalog is difficult to manage and not built for the wider org - what can we do?
We're looking to PoC https://open-metadata.org/ shortly
-
Looking for an open-source data lineage app, where objects and connections can be manually defined (not just automatically ingested)
Hello everyone, I'm looking for an open-source data lineage app (e.g. tokern, datahubproject, openmetadata).
-
Ask HN: Do you use JSON Schema? Help us shape its future stability guarantees
We at OpenMetadata(https://open-metadata.org) use JsonSchema extensively to define the metadata standards. JsonSchema is one of the reasons we are able to ship and get the project to what it is today in quick time. More about it here https://www.youtube.com/watch?v=ZrVTZwmTR3k
awesome-data-catalogs
-
How to map out data pipeline of 500-person BI Excel team?
Check out this GitHub awesome list of Data Catalogs.
-
Standalone lineage tool
Maybe what you want i some specification from which you can build something? In that way, perhaps this can help you https://github.com/opendatadiscovery/awesome-data-catalogs. Airflow uses OpenLineage as a way to send their metadata, and Marquez collects them to show them in their UI (https://openlineage.io/docs/guides/airflow), so I suppose you would want to do something similar? But maybe in that GitHub you can find other specifications that can help you better.
- Our data catalog is difficult to manage and not built for the wider org - what can we do?
-
Looking for an "offline" data discovery platform
In order to gain a understanding of the tables and their contents in our company, I have implemented one of the existing [data discovery platforms](https://github.com/opendatadiscovery/awesome-data-catalogs) (in my case [Amundsen](https://www.amundsen.io/))). Unfortunately, Amundsen can only display the tables it has access to.
-
Open source data catalog
I got nice data catalog summary in case anyone would be interested - https://github.com/opendatadiscovery/awesome-data-catalogs. It is probably biased since author is also author of one of the data catalogs, but still can be quite useful :)
- Data Catalog High level feature comparison
- Data Catalog Comparison List
- Awesome-data-catalogs – A curated list of data catalogs
-
Ask HN: Is there any data catalog that targets ML as the first citizen?
Hi, I would like to know is there any opensource data catalog systems that targets machine learning applications (datasets (unstructral, e.g., text, image, and video) and models) as the citizen?
I have read the awesome-data-catalogs ([1]) list but found none of them is treating ML as 1st cizten and the support for datasets and models are not specific enough.
[1]: https://github.com/opendatadiscovery/awesome-data-catalogs
What are some alternatives?
datahub - The Metadata Platform for your Data Stack
odd-platform - First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
marquez - Collect, aggregate, and visualize a data ecosystem's metadata
android-analytics-debugger - The Avo Android analytics debugger
grai-core
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
opendatadiscovery-specification - ODD Specification is a universal open standard for collecting metadata.
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Draft.js - A React framework for building text editors.
awesome-italian-public-datasets - A selection of interesting Open dataset from the Italian Public Administration and Civic Data use cases