Snowplow
GoatCounter
Snowplow | GoatCounter | |
---|---|---|
21 | 62 | |
6,767 | 4,246 | |
0.5% | 2.0% | |
8.5 | 8.8 | |
14 days ago | 10 days ago | |
Scala | Go | |
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.
Snowplow
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Open-source data collection & modeling platform for product analytics
We’ve also thought about Ops :-). There’s a backend 'Collector' that stores data in Postgres, for instance to use while developing locally, or if you want to get set up quickly. But there’s also full integration with Snowplow, which works seamlessly with an existing Snowplow setup as well.
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What are the different ways to collect large amounts of data, like millions of rows?
Sure thing! Say you run an online store. Your source systems could be the inventory, orders or customer databases. You could also track click/site behavior with something like snowplow. An ERP system is essentially just a combination of what I mentioned previously. Another good example is a CRM such as Salesforce or Zendesk. Hopefully that helps!
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What companies/startups are using Scala (open source projects on github)?
There are so many of them in big data, e.g. Kafka, Spark, Flink, Delta, Snowplow, Finagle, Deequ, CMAK, OpenWhisk, Snowflake, TheHive, TVM-VTA, etc.
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We should start looking for google analytics alternatives
I added Snowplow Analytics to a site with a lot of traffic. It was a very basic implementation, where data is collected with Snowplow, stored in google big query, and visualized in google data studio. The data is collected from the caching/web server combined with a client-side tracker.
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The Big Data Game – Because even a simple query can send you on an unexpected journey. Help the 8-bit data engineer to get the data
Well if you have to structure and create Schema and manage Data Warehouses, you need a tool to do that, so in the background you see SnowPlow, which helps you do just that. Make the data into some kind of sensible structure so that later on business analysts can come see whats up. Want to do a quarterly report on how you performed, go to the application that goes to the data warehouse and builds your report for you. Want to compare to other similar companies in the portfolio to see how they are performing, same story. Data scientists will build and structure the data and store it and manipulate it and extract the value from it so that the analysts and sales people can then come in and do some selling. Show the customers what they got for their money and guarantee the renewal.
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Click tracking solution for links and buttons on website
if you want self host, check out https://github.com/snowplow/snowplow
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Reference Data Stack for Data-Driven Startups
We also have telemetry set up on our Monosi product which is collected through Snowplow,. As with Airbyte, we chose Snowplow because of its open source offering and because of their scalable event ingestion framework. There are other open source options to consider including Jitsu and RudderStack or closed source options like Segment. Since we started building our product with just a CLI offering, we didn’t need a full CDP solution so we chose Snowplow.
- Austrian Data Protection Authority declares Google Analytics as not compliant with GDPR. Decision relevant for almost all EU websites.
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Ask HN: Best alternatives to Google Analytics in 2021?
https://matomo.org
That's the only full featured open source competitor I am aware of, so it should be mentioned.
https://snowplowanalytics.com/
Somewhat FOSS. There was a story there, but I don't remember the details.
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Cookie-based tracking is dead
I added Snowplow Analytics to a site with a lot of traffic. It was a very basic implementation, where data is collected with Snowplow, stored in google big query, and visualized in google data studio. The data is collected from the caching/web server combined with a 1st part cookie set in the user's browser.
GoatCounter
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Create an Astro blog from scratch
Add analytics to your website (for ex: GoatCounter – open source web analytics)
- Show HN: Shareable Analytics for public stats. Customize sections and themes
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
GoatCounter — GoatCounter is an open-source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy-to-use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. The free tier is for non-commercial use and includes unlimited sites, six months of data retention, and 100k pageviews/month.
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GoatCounter creator is hoping to raise at least €1k for basic living expense
> Not sure when GoatCounter started
"Hello, world" - arp242 committed on May 28, 2019 - 66a4d7f9b7af8dccacaf3ad8a9fb57a9f9008030 - https://github.com/arp242/goatcounter/commit/66a4d7f9b7af8dc...
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Ask HN: Who wants to be hired? (January 2024)
Location: Ireland (Galway)
Remote: yes
Willing to relocate: yes
Technologies: Go ("Golang"), Python, Ruby, JavaScript, Linux, Unix, PostgreSQL
Résumé/CV: https://www.arp242.net/cv/cv-martintournoij
Email: [email protected]
I've been using Go as my primary language for the last seven years, although I don't overly care about the specific language and have experience with a wide variety of tools and languages such as Python, Ruby, PHP, C, JavaScript, Lua, and probably some more. While I've mainly focused on backend in the last few years, I also have written plenty of frontend code over the years, from the "pre-jQuery" days to VueJS.
In the last few years I mainly focused on GoatCounter (https://www.goatcounter.com) with the occasional contract job, but I'm keen to start working on something new for the longer term.
I've got quite a bit of code on my GitHub, so you can take a look at that if you want: https://github.com/arp242/
- Goatcounter: Easy web analytics. No tracking of personal data
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Using Analytics on My Website
I suggest using analytics that you can self-host, like https://www.goatcounter.com/ and renting a cheap vm to run it on along with your blog. It is way better, you have more control and you can be sure that javascript tracking is working for 100% of people using the site since you have full control over it not getting blocked by adblockers.
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Ask HN: Is Google Analytics that useful?
I'm self-hosting GoatCounter and using it across all my websites.
Apart from controlling my data, I also have more accurate visitor statistics, as it doesn't get picked up by script blockers, unlike GA.
https://github.com/arp242/goatcounter
https://www.goatcounter.com
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What has your personal website/blog done for you?
I first used basic google analytics but found it too invasive/heavy so I switched over to https://www.goatcounter.com/.
For comments, most solutions were also too heavy, paid or had ads, but I finally found https://giscus.app/.
So while I did add these 2 features, I'm happy with those variants that I managed to find.
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Ask HN: Who wants to be hired? (August 2023)
Location: Ireland
Remote: yes
Willing to relocate: yes
Technologies: Go ("Golang"), Python, Ruby, JavaScript, Linux, Unix, PostgreSQL
Résumé/CV: https://www.arp242.net/cv/cv-martintournoij
Email: [email protected]
I've been using Go as my primary language for the last seven years, although I don't overly care about the specific language and have experience with a wide variety of tools and languages such as Python, Ruby, PHP, C, JavaScript, Lua, and probably some more. While I've mainly focused on backend in the last few years, I also have written plenty of frontend code over the years, from the "pre-jQuery" days to VueJS.
In the last few years I mainly focused on GoatCounter (https://www.goatcounter.com) with the occasional contract job, but I'm keen to start working on something new for the longer term.
I've got quite a bit of code on my GitHub, so you can take a look at that if you want: https://github.com/arp242/
What are some alternatives?
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
Rudderstack - Privacy and Security focused Segment-alternative, in Golang and React
Fathom Analytics - Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
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!
Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
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
Druid - Apache Druid: a high performance real-time analytics database.