monosi
castled
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| monosi | castled | |
|---|---|---|
| 20 | 12 | |
| 320 | 316 | |
| 1.3% | - | |
| 0.0 | 9.9 | |
| over 1 year ago | almost 2 years ago | |
| Python | Java | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
monosi
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Open source data observability tools with UI?
I also found https://github.com/monosidev/monosi but it seems there are no activities in the repository from last year.
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Databricks monitoring/observability
I'm building an open source data observability platform - https://github.com/monosidev/monosi that visualizes metadata collected from data warehouses. Databricks is currently not supported (contributions welcome!), but it may help to take a look at how we approach the anomaly detection & visualization aspects.
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Monitor PostgreSQL for anomalies in ingested data
Building an open source tool that lets you monitor PostgreSQL instances form anomalies in data coming in - https://github.com/monosidev/monosi
- Open Source Data Observability for BigQuery
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Metadata extraction and management
It’s open source, check out the repository here - https://github.com/monosidev/monosi
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How to Monitor Supabase with Monosi
🎉 Congratulations, you've just set up and scheduled a data monitor on your Supabase instance. You can now add more monitors to other tables in your database. Find more information on how to use Monosi here.
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Setting up data monitoring for PostgreSQL
Now that you’ve worked through an example using a public PostgreSQL instance, you can further extend this to your own data store. For more information, get started here.
- Monosi v0.0.3 Released! Open source Data Observability now with a Web UI, Postgres Support, & more.
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Sunday Daily Thread: What's everyone working on this week?
Continuing to build out & stabilize Monosi (open source data observability) - https://github.com/monosidev/monosi
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Data pipeline suggestions
Observability: Monosi
castled
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Data pipeline suggestions
Reverse ETL: Grouparoo, Castled
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Where can I find free data engineering ( big data) projects online?
Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset
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Launch HN: Castled Data (YC W22) – Open-Source Reverse ETL
Thanks. We also have a subscription based hosted solution hosted at https://castled.io
- Castled - 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
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Castled.io is the fastest Reverse ETL platform till date
Castled is 6x to 13x faster than other Reverse ETL platforms like Census and Hightouch! The project is open source.
- Castled is an open source reverse ETL solution that helps you to periodically sync the data in your warehouses and databases to sales, marketing, support or custom apps without any help from engineering teams
- Castled – Reverse ETL
What are some alternatives?
datahub - The Metadata Platform for your Data Stack
lightdash - Self-serve BI to 10x your data team ⚡️
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
X-Road - Source code of the X-Road® data exchange layer software
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
datahelix - The DataHelix generator allows you to quickly create data, based on a JSON profile that defines fields and the relationships between them, for the purpose of testing and validation
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
great_expectations - Always know what to expect from your data.
projects - Sample projects using Ploomber.
dagster - An orchestration platform for the development, production, and observation of data assets.