superset
Matomo
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superset | Matomo | |
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137 | 148 | |
58,737 | 18,999 | |
3.4% | 1.0% | |
9.9 | 9.8 | |
5 days ago | 7 days ago | |
TypeScript | PHP | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
superset
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Apache Superset
Superset is absolutely phenomenal. I really hope Microsoft eventually releases all of their customizations they made to it internally to the OS community someday.
https://www.youtube.com/watch?v=RY0SSvSUkMA
https://github.com/apache/superset/discussions/20094
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A modern data stack for startups
I recently ran a little shootout between Superset, Metabase, and Lightdash. All have nontrivial weaknesses but I ended up picking Lightdash.
Superset the best of them at _data visualization_ but I honestly found it almost useless for self-serve _BI_ by business users. This issue on how to do joins in Superset (with stalebot making a mess XD) is everything difficult about Superset for BI in a nutshell. https://github.com/apache/superset/issues/8645
Metabase is pretty great and it's definitely the right choice for a startup looking to get low cost BI set up. It still has a very table centric view, but feels built for _BI_ rather than visualization alone.
Lightdash has significant warts (YAML, pivoting being done in the frontend, no symmetric aggregates) but the Looker inspiration is obvious and it makes it easy to present _groups of tables_ to business users ready to rock. I liked Looker before Google acquired it. My business users are comfortable with star and snowflake schemas (not that they know those words) and it was easy to drop Lightdash on top of our existing data warehouse.
- FLaNK Stack Weekly for 20 Nov 2023
- Hiding tokens retrieved via API from the html source?
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Yandex open sourced it's BI tool DataLens
Or like not being able to delete a user without running some SQL:
https://github.com/apache/superset/issues/13345
Almostl instantly run into this issue setting up a test instance of Superset. And the issue has been around for years.
- Apache Superset Is a Data Visualization and Data Exploration Platform
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Apache Superset: Installing locally is easy using the makefile
Are you interested in trying out Superset, but you're intimidated by the local setup process? Worry not! Superset needs some initial setup to install locally, but I've got a streamlined way to get started - using the makefile! This file contains a set of scripts to simplify the setup process.
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More public SQL-queryable databases?
Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding.
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How useful is SQL for managers?
if they don't want to pay for powerbi, can try something like https://superset.apache.org/
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Real-time data analytics with Apache Superset, Redpanda, and RisingWave
In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can build a real-time data analytics solution using the open-source tools Redpanda a distributed streaming platform, Apache Superset, a data visualization, and a business intelligence platform, combined with RisingWave a streaming database.
Matomo
- Ask HN: Tips to get started on my own server
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🔥Matomo 5 UPGRADE - A step-by-step GUIDE 🤌
Matomo just released their major v5 upgrade with following key improvements:
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11 Ways to Optimize Your Website
There are many good, lightweight, and open-source alternatives to Google Analytics, such as Plausible, Matomo, Fathom, Simple Analytics, and so on. Many of these options are open-source, and can be self-hosted.
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Mobile apps illegally share your personal data
You can for example use analytics that aren't spyware, and hence don't even have to try to trick users giving "consent" to things they don't really want.
Seriously: what share of people actually want their behavior to be tracked for ad companies to make more money?
https://matomo.org/
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Ask HN: Is Google Analytics that useful?
Matomo is a GDPR-compliant and open-source analytics platform. You can either host it yourself or use Matomo’s hosted version. https://matomo.org/
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Companies must stop using Google Analytics
I tried the self-hosted version of Matomo [1][2] a few years back but I remember it was a bit underwhelming for the effort required to set it up.
https://matomo.org
- GA4 is terrible
- Site analytics for open source project?
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LF a Service to Monitor Web Visits
It seems like you just want a self hsoted google analytics. Theres Plausible , Matomo and Umami for that.
- A better alternative to google "+reddit" searches?
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
AWStats - AWStats Log Analyzer project (official sources)
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
Apache Hive - Apache Hive
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
lightdash - Self-serve BI to 10x your data team ⚡️
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.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.
django-project-template - The Django project template I use, for installation with django-admin.
Fathom Analytics - Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.