OpenMetadata
Hyperactive
| OpenMetadata | Hyperactive | |
|---|---|---|
| 26 | 8 | |
| 4,140 | 490 | |
| 4.9% | - | |
| 10.0 | 7.7 | |
| 6 days ago | 5 months ago | |
| TypeScript | Python | |
| 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
Hyperactive
- Hyperactive Version 4.5 Released
- Hyperactive: An optimization and data collection toolbox for AutoML
- Hyperactive: Optimize computationally expensive models with powerful algorithms
- Show HN: Hyperactive – A highly versatile AutoML Toolbox
-
Hyperactive – Easy Neural Architecture Search for Deep Learning in Python
Check out the Neural Architecture Search Tutorial here: https://nbviewer.jupyter.org/github/SimonBlanke/hyperactive-...
Neural Architecture Search is just one of many optimization applications you can work on with Hyperactive. Check out the examples in the official github repository: https://github.com/SimonBlanke/Hyperactive/tree/master/examp...
-
Gradient-Free-Optimizers A collection of modern optimization methods in Python
Gradient-Free-Optimizers is a lightweight optimization package that serves as a backend for Hyperactive: https://github.com/SimonBlanke/Hyperactive
Hyperactive can do parallel computing with multiprocessing or joblib, or a custom wrapper-function.
What are some alternatives?
datahub - The Metadata Platform for your Data Stack
mango - Parallel Hyperparameter Tuning in Python
marquez - Collect, aggregate, and visualize a data ecosystem's metadata
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
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.
opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
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.
optuna-examples - Examples for https://github.com/optuna/optuna
Draft.js - A React framework for building text editors.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark