awesome-data-catalogs
android-analytics-debugger
awesome-data-catalogs | android-analytics-debugger | |
---|---|---|
9 | 8 | |
586 | 0 | |
4.3% | - | |
4.2 | 6.2 | |
8 months ago | 7 months ago | |
Java | ||
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.
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
android-analytics-debugger
-
Our data catalog is difficult to manage and not built for the wider org - what can we do?
There are some cloud tools such as Avo that can help you create a cloud-hosted tracking plan. A CDP can also help you manage your tracking plans programmatically. Here is my company's partnership with Avo. https://www.rudderstack.com/blog/rudderstack-x-avo/
-
Ask HN: What’s your startup’s analytics setup? (2023)
Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined.
There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics coverage but also do so in a way where you can integrate them all to get a complete picture without any mismatch.
There is too much marketing speech copy on the sites of many analytics startups to properly evaluate them without wasting time and effort to signup, configure and use each one long enough to understand the value they provide.
Off the top of my head, there are services like Segment [1], Amplitude [2], Mixpanel [3], Trackingplan [4], Avo [5], Posthog [6], Freshpaint [7], etc.
So ten years later, what are the must-have analytics solutions for startups? What are the best tools for bringing in all the data from the different analytics tools? How should Engineering, Product and Data work together around analytics?
The more details you can provide the better.
[0]: https://news.ycombinator.com/item?id=4707903
[1]: https://segment.com
[2]: https://amplitude.com
[3]: https://mixpanel.com
[4]: https://www.trackingplan.com
[5]: https://www.avo.app
[6]: https://posthog.com
[7]: https://www.freshpaint.io
-
Show HN: Build Ruby on Rails apps 10x faster – Avo
You may want to check your branding -- https://www.avo.app/
-
RudderStack x Avo
Today we're excited to announce our partnership with Avo. RudderStack and Avo work together to ship analytics tracking faster with better data quality. With Avo, you can design exactly how your events and properties should look, before they are implemented and sent to RudderStack. Avo enables developers to get detailed instructions on how to implement Rudderstack events and tools to validate that the implementation is according to spec.
-
How to Get Everyone in Your Organization on Board with Your Tracking Plan
You need tools to help make that good communication happen. One of the best ways to collaborate on your tracking plan and make sure everyone is up to date on it is to use a tool like Avo. Avo helps you seamlessly share your data best practices, events, and properties with your team by creating a single source of data truth. With it, your team can look forward to more consistent tracking of manageable volumes of data and an easier route to making better product decisions.
-
A Developer’s Guide to Analytics Implementation & Testing
When you consolidate feedback into a single source of truth it increases implementation and testing efficiency by creating a single environment (e.g., a shared doc or an easy-to-use tool like Avo 🙌) in which you can surface questions. Not only is it easier to have the relevant context then and there with descriptions, but your data team can be pulled in to answer any questions that might come up. When your data includes all relevant information that’s accessible to all stakeholders at any time, you can expect to see rapid turnaround on required changes and track any conversations about the particular changes made and the conversation about those changes.
-
Cleaner analytics workflows with Avo
We created Avo for makers who were tired of spending more time managing their data than building their products. Avo works with your self-serve analytics tools to offer a guided collaboration layer for Product Managers, Data Practitioners and Engineers. Check out our latest release and get instant feedback on your tracking plan: https://www.avo.app/blog/launching-now-error-proof-your-analytics-with-avo-for-pms
-
An easy way to collect crash reports in our Android libraries
Here at Avo we have a couple of open source libraries for mobile. We have part of one of our main products distributed as a library, the Avo Inspector SDK, and we have our mobile debugger.
What are some alternatives?
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.
Trestle - A modern, responsive admin framework for Ruby on Rails
grai-core
datahub - The Metadata Platform for your Data Stack
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
ActiveAdmin - The administration framework for Ruby on Rails applications.
opendatadiscovery-specification - ODD Specification is a universal open standard for collecting metadata.
Avo - Build Ruby on Rails apps 10x faster
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
awesome-italian-public-datasets - A selection of interesting Open dataset from the Italian Public Administration and Civic Data use cases
react-admin - A frontend Framework for building data-driven applications running on top of REST/GraphQL APIs, using TypeScript, React and Material Design