pirsch
ClickHouse
Our great sponsors
pirsch | ClickHouse | |
---|---|---|
41 | 208 | |
837 | 34,153 | |
3.3% | 2.6% | |
9.1 | 10.0 | |
14 days ago | 4 days ago | |
Go | C++ | |
GNU Affero General Public License v3.0 | 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.
pirsch
-
Must-Have Features to Look for in a Blogging Platform
Pirsch Analytics (paid)
-
Using Analytics on My Website
I was also looking for server-side analytics, created my own, and now it's a product! The idea is that tracking can be done from both, a JS snippet (for easy integration) and an API. Both rely on fingerprinting and almost provide the same set of features. The API just lacks screen resolution. The method is GDPR (and CCPA and whatnot) compliant.
Original article: https://marvinblum.de/blog/server-side-tracking-without-cook...
Product: https://pirsch.io
before this comes up again: Yes, we checked professionally with an external DPO and it was checked by some companies you've probably heard of externally.
-
Ask HN: Any good open source alternatives to Google Analytics?
Pirsch analytics is a great one https://github.com/pirsch-analytics/pirsch
-
Site analytics for open source project?
Take a look at Pirsch. You can find a demo with real data here.
-
Recommend Google Analytics Alternatives
pirsch.io :)
- Show HN: Privacy-Focused, Open-Source Web Analytics
-
Ask HN: Side project of more that $2k monthly revenue what's your project?
I'm building Pirsch Analytics [0], a privacy-friendly web analytics tool. I think it took the two of us ~1.5 years to get to $2000 MRR. Currently we're setting just above $4000 MRR.
It started as an experiment for my personal website and I was in the same position as you're right now. We were already working on a Notion like app to take notes, but didn't make any money and probably went into the wrong direction. As my prototype seemed to work quite well, we decided to turn it into a product.
My initial goal was to do server-side analytics without the downsides of parsing access logs, but of course we now also have a "regular" JS snippet integration.
You can learn more about our journey here [1] and on our blog [2]. Let me know if you have any questions!
[0] https://pirsch.io
[1] https://pirsch.io/about-us
[2] https://pirsch.io/blog
-
I'm building a new SaaS tool: open source analytics for the web
Not saying you shouldn’t or anything, but Plausible, Pirsch, and Umami are already privacy friendly open-source analytics.
- Flexible A/B Testing on Deno Using the Fresh Framework and Pirsch Analytics
-
Ask HN: Any alternatives to Google Analytics that don't require cookies?
Pirsch has been easy and great IME.
[0] https://pirsch.io
ClickHouse
-
We Built a 19 PiB Logging Platform with ClickHouse and Saved Millions
Yes, we are working on it! :) Taking some of the learnings from current experimental JSON Object datatype, we are now working on what will become the production-ready implementation. Details here: https://github.com/ClickHouse/ClickHouse/issues/54864
Variant datatype is already available as experimental in 24.1, Dynamic datatype is WIP (PR almost ready), and JSON datatype is next up. Check out the latest comment on that issue with how the Dynamic datatype will work: https://github.com/ClickHouse/ClickHouse/issues/54864#issuec...
-
Build time is a collective responsibility
In our repository, I've set up a few hard limits: each translation unit cannot spend more than a certain amount of memory for compilation and a certain amount of CPU time, and the compiled binary has to be not larger than a certain size.
When these limits are reached, the CI stops working, and we have to remove the bloat: https://github.com/ClickHouse/ClickHouse/issues/61121
Although these limits are too generous as of today: for example, the maximum CPU time to compile a translation unit is set to 1000 seconds, and the memory limit is 5 GB, which is ridiculously high.
-
Fair Benchmarking Considered Difficult (2018) [pdf]
I have a project dedicated to this topic: https://github.com/ClickHouse/ClickBench
It is important to explain the limitations of a benchmark, provide a methodology, and make it reproducible. It also has to be simple enough, otherwise it will not be realistic to include a large number of participants.
I'm also collecting all database benchmarks I could find: https://github.com/ClickHouse/ClickHouse/issues/22398
-
How to choose the right type of database
ClickHouse: A fast open-source column-oriented database management system. ClickHouse is designed for real-time analytics on large datasets and excels in high-speed data insertion and querying, making it ideal for real-time monitoring and reporting.
-
Writing UDF for Clickhouse using Golang
Today we're going to create an UDF (User-defined Function) in Golang that can be run inside Clickhouse query, this function will parse uuid v1 and return timestamp of it since Clickhouse doesn't have this function for now. Inspired from the python version with TabSeparated delimiter (since it's easiest to parse), UDF in Clickhouse will read line by line (each row is each line, and each text separated with tab is each column/cell value):
-
The 2024 Web Hosting Report
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules.
-
Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.
-
Proton, a fast and lightweight alternative to Apache Flink
Proton is a lightweight streaming processing "add-on" for ClickHouse, and we are making these delta parts as standalone as possible. Meanwhile contributing back to the ClickHouse community can also help a lot.
Please check this PR from the proton team: https://github.com/ClickHouse/ClickHouse/pull/54870
-
1 billion rows challenge in PostgreSQL and ClickHouse
curl https://clickhouse.com/ | sh
-
We Executed a Critical Supply Chain Attack on PyTorch
But I continue to find garbage in some of our CI scripts.
Here is an example: https://github.com/ClickHouse/ClickHouse/pull/58794/files
The right way is to:
- always pin versions of all packages;
What are some alternatives?
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
loki - Like Prometheus, but for logs.
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!
duckdb - DuckDB is an in-process SQL OLAP Database Management System
nomad-driver-containerd - Nomad task driver for launching containers using containerd.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Fathom Analytics - Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Presto - The official home of the Presto distributed SQL query engine for big data
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.
datafusion - Apache DataFusion SQL Query Engine