quinn
Shynet
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.
quinn
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Brainstorming functions to make PySpark easier
We're brainstorming functions to make PySpark easier, see this issue: https://github.com/MrPowers/quinn/issues/83
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PySpark OSS Contribution Opportunity
Adding some README documentation to the README should be quite straightforward. Here's a function that needs to be documented: https://github.com/MrPowers/quinn/issues/52 .
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Invitation to collaborate on open source PySpark projects
quinn is a library with PySpark helper functions. I need to work through all the open issues / PRs and bump all versions. I should do another release. This library gets around 600,000 monthly downloads.
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Pyspark now provides a native Pandas API
Pandas syntax is far inferior to regular PySpark in my opinion. Goes to show how much data analysts value a syntax that they're already familiar with. Pandas syntax makes it harder to reason about queries, abstract DataFrame transformations, etc. I've authored some popular PySpark libraries like quinn and chispa and am not excited to add Pandas syntax support, haha.
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Register Native Functions in PySpark
Here's how I added a create_df method to the SparkSession class: https://github.com/MrPowers/quinn/blob/main/quinn/extensions/spark_session_ext.py
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Is Spark - The Defenitive Guide outdated?
They spent a lot of effort improving the catalyst engine under the hood too and making it easier to extend and improve it in the future. Making it easy to add your own native code to Spark itself. Shameless plug of a blog post I wrote on this subject which basically reiterates what Matthew Powers, author of Spark Daria and quinn, wrote here.
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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?
chispa - PySpark test helper methods with beautiful error messages
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
spark-daria - Essential Spark extensions and helper methods ✨😲
Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs
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.
null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.
flask-profiler - a flask profiler which watches endpoint calls and tries to make some analysis.
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
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!
etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration
GoatCounter - Easy web analytics. No tracking of personal data.