datahub
featureform
| datahub | featureform | |
|---|---|---|
| 34 | 28 | |
| 9,219 | 1,674 | |
| 2.5% | 1.1% | |
| 9.9 | 9.7 | |
| 4 days ago | 13 days ago | |
| Java | Jupyter Notebook | |
| Apache License 2.0 | Mozilla Public License 2.0 |
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.
datahub
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Ask HN: Looking for DB schema management tool
Sounds like you are looking for a data catalog tool instead of db schema management tool. You can check out Amundsen (https://www.amundsen.io/), DataHub (https://datahubproject.io/)
If you are looking for schema change management tool, then you can check out Bytebase (bytebase.com). But it can't answer questions like "which collections contain links to bigmongo.user.id?"
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Which open source or commercial tools are used for Data Governance and access management
IIUC DataHub (open source project out of LinkedIn) might be relevant here
- ODD Platform - An open-source data discovery and observability service - v0.12 release
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What data governance tool are you folks using?
I’m a huge fan of DataHub, the open source data catalogue spun out of LinkedIn, but it’s best thought of as an observability layer for data assets that can be shared by data engineers and analyst-types. For data users: it’s a stellar search/discovery interface (what datasets are there on this keyword, which are most broadly used across the organization, what downstream products are made with this data, what’s it usually joined to, are it’s upstream pipelines reliable). For data engineers, it’s a comprehensive asset cataloger, crawling your warehouse, orchestrator, modeling layers, features, and reports, matching the lineage into a graph where it can.
- Our data catalog is difficult to manage and not built for the wider org - what can we do?
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What's the best way to build documentation for a data infrastructure? any existing tools
If you are looking for a data cataloguing solution, look at Datahub. Haven't used it, but heard good things about it.
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Looking for an "offline" data discovery platform
What I am looking for is a solution (similar to Amundsen or [Datahub](https://datahubproject.io/)) that also allows to add tables and their metadata manually.
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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).
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How do you document your dashboards?
What about DataHub? Haven't really used it but I'm actively reading about it and about to use it for some light documentation for some small pipelines.
- Any reason why I shouldn't give my dbt docs to everyone?
featureform
- Still look familiar?
- Featureform: A Python Framework for the Entire Feature Lifecycle. Define, Version, Orchestrate, & Deploy ML Features with OSS Featureform!
- Does this look familiar?
- Does this look familiar? Define, Manage, & Serve your ML Features with OSS Featureform!
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What’s your process for deploying a data pipeline from a notebook, running it, and managing it in production?
Feature store: new hot one: https://www.featureform.com/
- featureform / featureform :
- Featureform: An Open-Source Feature Store for your ML Features
What are some alternatives?
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
feast - Feature Store for Machine Learning
amundsen - Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Milvus - A cloud-native vector database, storage for next generation AI applications
OpenLineage - An Open Standard for lineage metadata collection
feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise
atlas - Manage your database schema as code
awesome-vector-search - Collections of vector search related libraries, service and research papers
metacat
hopsworks - Hopsworks - Data-Intensive AI platform with a Feature Store
Atlas - 🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and security.
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.