Snowplow
Umami
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Snowplow | Umami | |
---|---|---|
21 | 112 | |
6,734 | 19,579 | |
0.4% | 4.2% | |
8.7 | 9.8 | |
about 1 month ago | 6 days ago | |
Scala | TypeScript | |
Apache License 2.0 | MIT License |
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.
Umami
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Umami: Best free Go-To Google Analytics Alternative
Are you tired of relying solely on Google Analytics to track your website's performance? Look no further! Introducing Umami , a powerful and privacy-focused alternative that puts you in control of your analytics data. Umami was founded by three brothers, Mike, Brian and Francis Cao as they were frustarted with using Google Analytics, which dominated and still does the industry of analytics despite of privacy concerns. As it is open-source, Umami quickly started being popular open-source project while still respecting privacy of users. My personal opinion, is that Umami is really easy to setup and use, for smaller projects as my personal website it is of great use. It does not many tracking as GA but it really does its job.
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15 open-source tools to elevate your software design workflow
Link | Demo | Github | License
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One Worker to Track Them All: Injecting Analytics Scripts into Multiple Websites with Cloudflare Workers
For a while now, I've been creating mini web tools to test out ideas or as tiny helpers for myself. I usually publish them on individual subdomains, which might not be the best idea, but I like the concept of a short, easy-to-remember URL. Recently, I discovered that some of these tools actually have a few users, which made me consider adding analytics to them. After a bit of research, I settled on umami. It's a great little privacy-conscious tool with exactly what I need and nothing more.
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Using Analytics on My Website
If you already use Posthog, Web Analytics has been in Public Beta for quite some time.[1]
If I remember correctly, CloudFlare Analytics does not need you to register your domain with them. I personally feel keeping domain registration coupled with your DNS provider is not a good idea.
Plausible[2] has an Open Source self-hostable version but is not so updated in sync with their SaaS version.
Umami[3] is another simple, clean one. And, of course, as many have suggested, Matomo is the other well-established one. If you want to avoid maintaining a hosting routine, a lot do the hosting out of the box these days. PikaPods[4] was good when I tried and played around for a while.
1. https://posthog.com/docs/web-analytics
2. https://github.com/plausible/analytics
3. https://umami.is
4. https://www.pikapods.com
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Is there a downside to Vercel Analytics?
not enough, can confirm, I moved to Umami for ChadNext
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Creating a more than minor side-project: From planning to release
Think of metrics that will gather good insights for creating more things for the product later and track them using analytics services like umami or others.
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Building a privacy-friendly, self-hosted application architecture with SvelteKit
Analytics is something that can easily become a privacy headache. To get around the issues as much as possible, the strategy I've implemented is to self-host the analytics tool Umami (again, via the One click app functionality in CapRover!).
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Would Umami be a viable option for SaaS within an e-commerce platform designed for sellers?
This question is targeted to those who have experience with Umami. I’m wondering if it make sense with a specific configuration.
- Ask HN: Looking for Google Analytics alternative after v4
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Analytics Solutions?
I've self-hosted Umami and works just fine. Check it out here: https://umami.is/
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
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!
Fathom Analytics - Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
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
Shynet - Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
Druid - Apache Druid: a high performance real-time analytics database.
Ackee - Self-hosted, Node.js based analytics tool for those who care about privacy.