My bookmarks: #onlinemarketing or #analytics without using #gatekeeper #VLOPs and respecting user #privacy

#Klaro Consent https://github.com/kiprotect/klaro

@Matomo #Matomo Analytics https://github.com/matomo-org/matomo

@growthbook #GrowthBook Feature Flag & Experimentation https://github.com/growthbook/growthbook

#ReviveAdserver https://github.com/revive-adserver/revive-adserver/

@grafana #Grafana dashboards https://github.com/grafana/grafana

#ApacheSuperset data exploration and visualization https://github.com/apache/superset

#LibreCrawl SEO Crawler https://github.com/PhialsBasement/LibreCrawl

An 'old 'post from 2022 but an end-to-end analytics solution like this on one box still sounds rather fabulous to me.

"A fast, free, and open-source Modern Data Stack (MDS) can now be fully deployed on your laptop or to a single machine using the combination of DuckDB, Meltano, dbt, and Apache Superset."

"https://duckdb.org/2022/10/12/modern-data-stack-in-a-box.html

#DuckDB #Meltano #DBT #ApacheSuperset #DataAnalysis #Dashboard

I used LLMs to fix a small bug in #ApacheSuperset that I couldn't find on my own. The PR: https://github.com/apache/superset/pull/33238

I asked GitHub's web UI "where in the codebase is responsible for this problem?" and then when it identified the file, I asked Claude for a fix.

The change is a single line of code, it's trivial once you see it - but I could have waded through the codebase for a long time and not have found the faulty line.

"Search this giant corpus of text for X" is a great use case for LLMs.

Important point re: knowledge preservation and conversation on the web. I contribute to #ApacheSuperset, the leading open-source BI software (think Tableau but free) and hang out in the project's Slack helping newbies.

It's arbitrary whether people post their questions in Slack or GitHub Discussions. This makes me wonder if we should push more activity to Discussions where it is open to the public and indexed by search engines.

https://infosec.exchange/@Sempf/112643489258853699

> The latest release of the popular open-source data exploration and visualization tool #apachesuperset, in its shiny new release, changed the Ukraine map to exclude Crimea.

> This is a result of the “apolitical” engineering decision to refactor all maps: https://github.com/apache/superset/pull/26300/files
...which uses Natural Earth dataset data now.
Which, famously, marks Crimea as 🇷🇺 due to an “apolitical” engineering decision to “follow the situation on the land.”

#Ukraine #StandWithUkraine

RT https://x.com/zverok/status/1783391163543621987