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Open Source vs. Proprietary: Desktop Productivity

Zen and the Art of Nonprofit Technology

I’ve been using this tool since it actually was StarOffice, more than 10 years ago, when it was first open sourced by Sun in 2000. (funnily enough, for both packages, the executable is still called ‘soffice’ – for ‘Star Office.’).

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Skiff, an end-to-end encrypted alternative to Google Docs, raises $3.7M seed

TechCrunch

Imagine if Google Docs was end-to-end encrypted so that not even Google could access your documents. Skiff is a document editor with a similar look and feel to Google Docs, allowing you to write, edit and collaborate in real-time with colleagues with privacy baked in. That’s Skiff , in a nutshell.

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Tidbits

Zen and the Art of Nonprofit Technology

It does make me think a lot about this whole space, and wonder if the fast moving train of Salesforce, and the slower moving trains of the open source alternatives, are beginning to bear down on the old guard, and how they will respond to them (or not, which would spell doom.) Time will tell. { Time will tell. { Be Helpful.

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Ameelio’s free video calling service for inmates goes live at first facilities

TechCrunch

By building their own tech stacks and shifting the resulting (much lower than market) costs away from inmates, Ameelio provides an enticing alternative to the totally outdated systems in most prisons today. ” “We leverage a lot of open source tech, which is part of why our costs are so low,” said Saruhashi.

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The Best Productivity Tools (Part 2): Favorites Revealed

Tech Soup

If you're looking for an alternative to Meltwater 's media monitoring capabilities, check out the list of PR tools on PRstack. Open-Source Tools. Open Data Kit helps you collect and manage data through a mobile app that works offline. However, there are some alternative calendar tools. We all miss Sunrise!

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A Serverless Query Engine from Spare Parts

Towards Data Science

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Alternatively, we can develop our app locally. It is an open-source in-process SQL OLAP database built specifically for analytical queries. How big a machine do we need? If so, how do we do it? Image from the authors.

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Radical Simplicity in Data Engineering

Towards Data Science

Dbt became so bloated it took minutes for the data lineage chart to load in the dbt docs website, and our GitHub Actions for CI ( continuous integration ) took over an hour to complete for each pull request. Before suggesting an alternative, simpler, solution, come prepared with a deep understanding of the problem at hand.

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