monosi
piperider
Our great sponsors
| monosi | piperider | |
|---|---|---|
| 20 | 6 | |
| 320 | 467 | |
| 1.3% | 0.6% | |
| 0.0 | 9.5 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache 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.
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
piperider
- Show HN: PipeRider – open-source Data Impact Analysis for dbt changes
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Open source data observability tools with UI?
If you post a GitHub issue to request these connectors is might help persuade the product team to add these sooner than later.
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Data profiling as part of a data reliability strategy?
PS. I'm a bit biased -> I'm working for PipeRider; we're building an open-source data reliability toolkit with profiling at the core: https://github.com/InfuseAI/piperider
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Show HN: PipeRider, data reliability automated tool
I was rush to Show HN, and now I want to tell a bit more.
PipeRider, it’s our take on a data reliability and quality tool for data pipelines. It’s based on data profiling and assertions that test against the data profile.
It’s open-source and ready to use on Github here: https://github.com/infuseai/piperider
Here is a quick start to get you up and running easily:
What are some alternatives?
datahub - The Metadata Platform for your Data Stack
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
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
great_expectations - Always know what to expect from your 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
pointblank - Data quality assessment and metadata reporting for data frames and database tables
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
elementary - The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.