spark-fast-tests
Shynet
Our great sponsors
| spark-fast-tests | Shynet | |
|---|---|---|
| 6 | 21 | |
| 418 | 2,806 | |
| - | - | |
| 0.0 | 7.1 | |
| 3 months ago | 8 days ago | |
| Scala | Python | |
| MIT License | 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.
spark-fast-tests
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Lakehouse architecture in Azure Synapse without Databricks?
I was a Databricks user for 5 years and spent 95% of my time developing Spark code in IDEs. See the spark-daria and spark-fast-tests projects as Scala examples. I developed internal libraries with all the business logic. The Databricks notebooks would consist of a few lines of code that would invoke a function in the proprietary Spark codebase. The proprietary Spark codebase would depend on the OSS libraries I developed in parallel.
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Well designed scala/spark project
https://github.com/MrPowers/spark-fast-tests https://github.com/97arushisharma/Scala_Practice/tree/master/BigData_Analysis_with_Scala_and_Spark/wikipedia
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Unit & integration testing in Databricks
If the majority of your stuff is not UDF-based there is an OS solution to run assertion tests against full data frames called spark-fast-tests. The idea here is similar in that you have a it notebook that calls your actual notebook against a staged input reads the output and compares it to a prefabed expected output. This does take a bit of setup and trial and error but it’s the closest I’ve been able to get to proper automated regression testing in databricks
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Show dataengineering: beavis, a library for unit testing Pandas/Dask code
I am the author of spark-fast-tests and chispa, libraries for unit testing Scala Spark / PySpark code.
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Ask HN: What are some tools / libraries you built yourself?
I built daria (https://github.com/MrPowers/spark-daria) to make it easier to write Spark and spark-fast-tests (https://github.com/MrPowers/spark-fast-tests) to provide a good testing workflow.
quinn (https://github.com/MrPowers/quinn) and chispa (https://github.com/MrPowers/chispa) are the PySpark equivalents.
Built bebe (https://github.com/MrPowers/bebe) to expose the Spark Catalyst expressions that aren't exposed to the Scala / Python APIs.
Also build spark-sbt.g8 to create a Spark project with a single command: https://github.com/MrPowers/spark-sbt.g8
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Open source contributions for a Data Engineer?
I've built popular PySpark (quinn, chispa) and Scala Spark (spark-daria, spark-fast-tests) libraries.
Shynet
- Shynet: Modern, privacy-friendly, web analytics, without cookies or JavaScript
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It Took Me a Decade to Find the Perfect Personal Website Stack – Ghost+Fathom
+1 on shynet! I use it for my personal website and my blog, and it's been working great.
I got it up and running with Podman, so no need to install and run the Docker daemon. I also fixed SQLite support [1], so no need for an additional DB server.
I analyzed available open-source web analytics tools [2] and AFAIK there is simpler solution for web analytics that doesn't involve a third party.
[1] https://github.com/milesmcc/shynet/issues/208
[2] https://blog.fidelramos.net/software/privacy-respecting-self...
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Recommendations for self-hosted Google Analytics alternatives?
I like shynet
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Ask HN: Any alternatives to Google Analytics that don't require cookies?
I am using shynet for a while now. Really all I need to know :)
https://github.com/milesmcc/shynet
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Why you should remove Google Analytics from your website
There's also Shynet.
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Show HN: Sudopad – Private link sharing board for friends
Oh that is actually shynet self hosted analytics which is privacy friendly. https://github.com/milesmcc/shynet
But I think I'll just remove it for now.
- Please name some open source projects which are collecting small user analytics metrics and how
- Google Analytics declared illegal in the EU.
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Ask HN: Good open source alternatives to Google Analytics?
Shynet: https://github.com/milesmcc/shynet
The goal is to provide, privacy-friendly, and detailed web analytics that works without cookies or JS. And it's completely open source.
Full disclosure: I am the primary maintainer.
What are some alternatives?
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
chispa - PySpark test helper methods with beautiful error messages
Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
Open Web Analytics - Official repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
flask-profiler - a flask profiler which watches endpoint calls and tries to make some analysis.
sqlfluff - A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
spark-daria - Essential Spark extensions and helper methods ✨😲
GoatCounter - Easy web analytics. No tracking of personal data.