datahub VS monosi

Compare datahub vs monosi and see what are their differences.

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datahub monosi
34 20
9,219 320
2.2% 1.3%
9.9 0.0
about 5 hours ago over 1 year ago
Java Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of datahub. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-10.

monosi

Posts with mentions or reviews of monosi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-18.

What are some alternatives?

When comparing datahub and monosi you can also consider the following projects:

OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.

jitsu - Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

amundsen - Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

castled - Castled is an open source reverse ETL solution that helps you to periodically sync the data in your db/warehouse into sales, marketing, support or custom apps without any help from engineering teams

OpenLineage - An Open Standard for lineage metadata collection

soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

atlas - Manage your database schema as code

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.

metacat

great_expectations - Always know what to expect from your data.

Atlas - 🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and security.

dagster - An orchestration platform for the development, production, and observation of data assets.