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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.
5 Awesome Libraries To Use In Your Next ReactJs Project
Here you can find the live example of react tippy
5 Useful React Libraries ⚛️ Part-2
5 projects | dev.to | 8 Jul 2021
4️⃣ React Tippy Tippy.js is a lightweight, easy-to-use library that provides tooltip solutions, as well as other pop-out style GUI tools. A tooltip is a textbox that appears while your cursor hovers over an element in an application and is useful for displaying additional information that a user may need. 📌Homepage 📡GitHub
Great Expectations is annoyingly cumbersome
3 projects | reddit.com/r/dataengineering | 30 Nov 2022
Hi folks, Pere here, part of the development team behind OpenMetadata.
Metadata Store - Which one to Choose ? OpenMetadata vs Datahub ?
5 projects | reddit.com/r/dataengineering | 17 Nov 2022
We use Kubernetes as our deployment platform. Any feedback on one of these open source data catalogs ? - https://atlas.apache.org/#/ - https://opendatadiscovery.org/ - https://open-metadata.org/ - https://marquezproject.github.io/marquez/ - https://datahubproject.io/ - https://www.amundsen.io/ - https://ckan.org/ - https://magda.io/
Which data lineage tool did you implement at your company
2 projects | reddit.com/r/dataengineering | 29 Mar 2022
We use Open Metadata (https://open-metadata.org/). Great tool and it is open source!
Wardley mapping the Modern Data Stack
2 projects | dev.to | 9 Jan 2022
There are a lot of new vendors working on solutions to tackle Data Discoverability, Quality, Observability, Reliability or Lineage. Regardless of what question these services are proposing to tackle, I see all them all working to improve trust in an organisations data. For as long as there have been data systems and insights being produced, data teams are always asked to defend their numbers and ensure they are correct. These questions are valid and necessary as important decisions are often made based on those numbers. However, they do take time to answer and issues are often caused by data changing rather than any software bug. As data volumes grew and and all parts of the data stack expanded, it has become more difficult for teams to keep a track of all the data in their platform. Companies like Monte Carlo, Datafold, Bigeye and Metaplane all have products to help data teams keep on top of state of the data in their data warehouses. These tools all operate by tracking where data is sourced from, how it gets into the data warehouse, transformation and then profiling it at rest. Combined with open frameworks like Open Lineage and Open Metadata, these tools have the potential to improve organisations confidence in their data. Up to now, the vendors for these tools are targeting the data teams as their customer. Data teams understand the problem and are happy to outsource it if possible. I think the real potential for these tools will come when data customers are the ones using them. If data customers can bypass the data teams and check how much trust they can put in the insights being generated, that would be a game-changer. Self-service data trust if you will. Taking this a step further, if our industry ever gets to the point where the modern data stack starts to drive customer facing applications, tools that automate and verify data trust will become essential.
5 Awesome Libraries To Use In Your Next ReactJs Project
Here is a live example of OpenMetadata A Single place to Discover, Collaborate, and Get your data right that uses React flow to render entity lineage.
Why OpenMetadata is the Right Choice for you
2 projects | reddit.com/r/dataengineering | 13 Dec 2021
If you are interested in metadata management and data discovery, quality and collaboration, we wrote a blog post https://blog.open-metadata.org/why-openmetadata-is-the-right-choice-for-you-59e329163cac on why https://github.com/open-metadata/OpenMetadata is the right choice. Please take a look and if you are interested in learning more about the project or any feature requests etc.. please join our community https://slack.open-metadata.org2 projects | reddit.com/r/dataengineering | 13 Dec 2021
Regarding Dagster can you please file an issue here https://github.com/open-metadata/OpenMetadata . We will work on it in our upcoming releases
What are some alternatives?
datahub - The Metadata Platform for the Modern Data Stack
marquez - Collect, aggregate, and visualize a data ecosystem's metadata
react-toastify - React notification made easy 🚀 !
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.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Draft.js - A React framework for building text editors.
rc-slider - React Slider
react-moment - React component for the moment date library.
awesome-wardley-maps - Wardley maps community hub. Useful Wardley mapping resources
carbon - :black_heart: Create and share beautiful images of your source code
React Intl - The monorepo home to all of the FormatJS related libraries, most notably react-intl.
react-markdown - Markdown component for React