Grimoire Lab-GitHub - Stats On Steroids

Grimoire Lab is an open source toolkit built on Python, Elasticsearch and Kibana. It taps into GitHub's raw data through Perceval, a module designed for retrieving data from repositories related to software development.

Perceval forwards the data to another tool for filtering, the so called Sorting Hat, responsible for managing and merging identities that correspond to the same real person/commiter and potentially come from different sources, before finally rendering the data manageable and accessible through rich UI Kibiter dashboards. Kibiter, a fork of Kibana, is what enables the user to create and edit visualizations as well as perform queries facilitated by the underlying Elasticsearch REST APIs.

full article on i-programmer.info

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Europe Gets Its Own LLM

EuroLLM is a fully open-sourced large language model made in Europe and built to support all twenty-four official EU languages. While several European states have separately produced their own LLMs, such as Greece's "Meltemi" or the recent offering from Switzerland "Apertus", there was no solution that catered for the languages of all 24 states belonging to the EU block. The time has come for this status to change with the appearance of EuroLLM, a foundational model that supports them all. https://www.i-programmer.info/news/105-artificial-intelligence/18448-europe-gets-its-own-llm.html

Open Source Is Not Just About Software

It's about infrastructure as well, something that although not attracting the limelight, is as important as the open source software it hosts. Today the stewards of the largest open source registries in the world have issued an open letter demanding urgent reform in how open source infrastructure is funded, maintained, and operated. https://www.i-programmer.info/news/136-open-source/18334-open-source-is-not-just-about-software.html

The PaSh Project gives your POSIX script superpowers by utilizing parallelization in order to speed up execution times.

The PaSh Project gives your POSIX script superpowers by utilizing parallelization in order to speed up execution times. This leads to faster results for data scientists, engineers, biologists, economists, administrators, and programmers. I remember the time when the saying was "Learn Perl so you don't have to learn the Shell and its hundreds of utilities". Fast forward some decades and the use of shell scripts still has not been eradicated. On the contrary, their use has increased due to the rise of containers, VM's, administering the cloud, and Linux itself. This also serves as a lesson to those who are quick to denounce technologies as 'dead'. There's a time where a new use case revitalizes an old technology. So what is meant by "Unix philosophy"? full article on i-programmer: https://www.i-programmer.info/news/90-tools/14990-the-pash-project-advancing-the-unix-philosophy-one-step-further.html

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