# Open Data

Open data is data that anyone can access, use, modify, and share, subject at most to requirements that preserve provenance and openness.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Zed now predicts your next edit with Zeta, our new open model

DevFeed: [Zed now predicts your next edit with Zeta, our new open model](<https://devfeed.tech/articles/zed-now-predicts-your-next-edit-with-zeta-our-new-open-model-13462.md>)

Original publisher: [Read original article](<https://zed.dev/blog/edit-prediction>)

Author: Antonio Scandurra, Nathan Sobo

Published: 2025-02-13T00:00:00Z

Content type: release

Language: en

Sources: [Zed Industries - Blog](<https://devfeed.tech/sources/zed-industries-blog.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Open Data](<https://devfeed.tech/topics/open-data.md>)

Tags: [data](<https://devfeed.tech/tags/data.md>), [language](<https://devfeed.tech/tags/language.md>), [model](<https://devfeed.tech/tags/model.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [predictions](<https://devfeed.tech/tags/predictions.md>), [speed](<https://devfeed.tech/tags/speed.md>), [tool](<https://devfeed.tech/tags/tool.md>)

### AI overview

Zed introduces edit prediction, a feature powered by Zeta, an open-source language model derived from Qwen2.5-Coder-7B. During the public beta, users can accept predicted edits with keyboard shortcuts, and Zed describes how predictions interact with language-server completions on macOS and Linux. Zeta includes an open dataset, with submitted data reviewed for safety and privacy before publication.

### Source excerpt

A tool that predicts your next move. Powered by Zeta, our new open-source, open-data language model.

## Welkom bij OpenTK (deel 2): de monitors

DevFeed: [Welkom bij OpenTK (deel 2): de monitors](<https://devfeed.tech/articles/welkom-bij-opentk-deel-2-de-monitors-36593.md>)

Original publisher: [Read original article](<https://berthub.eu/articles/posts/welkom-bij-opentk-deel-2/>)

Published: 2024-12-13T14:13:41Z

Content type: tutorial

Language: nl

Sources: [Bert Hubert's writings](<https://devfeed.tech/sources/bert-hubert-s-writings.md>)

Topics: [API](<https://devfeed.tech/topics/api.md>), [monitor](<https://devfeed.tech/topics/monitor.md>), [Open Data](<https://devfeed.tech/topics/open-data.md>), [email](<https://devfeed.tech/topics/email.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [account](<https://devfeed.tech/topics/account.md>), [Internet](<https://devfeed.tech/topics/internet.md>)

Tags: [account](<https://devfeed.tech/tags/account.md>), [api](<https://devfeed.tech/tags/api.md>), [data](<https://devfeed.tech/tags/data.md>), [email](<https://devfeed.tech/tags/email.md>), [internet](<https://devfeed.tech/tags/internet.md>), [monitor](<https://devfeed.tech/tags/monitor.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [opentk](<https://devfeed.tech/tags/opentk.md>), [politiek](<https://devfeed.tech/tags/politiek.md>), [project](<https://devfeed.tech/tags/project.md>)

### AI overview

This Dutch article explains how OpenTK uses the Tweede Kamer's technical API and open parliamentary data to help users monitor committees, people, dossiers, searches, cases, and activities. Users can link an email address to receive matching-document notifications, with duplicate matches combined into a single email.

### Source excerpt

Welkom! Goed inzicht in ons parlement is belangrijk, soms omdat er dingen in het nieuws zijn. En soms juist omdat dingen (nog) niet in het nieuws zijn, maar er binnenkort wel besluiten over genomen gaan worden. De Tweede Kamer publiceert alles wat ze doen via een technische API, en dat is echt geweldig. Hierdoor kunnen we op Internet eigen viewers maken om deze data zo goed mogelijk zichtbaar te maken.

## The new Galmon.eu Weekly Galileo Report

DevFeed: [The new Galmon.eu Weekly Galileo Report](<https://devfeed.tech/articles/the-new-galmon-eu-weekly-galileo-report-36275.md>)

Original publisher: [Read original article](<https://berthub.eu/articles/posts/briefly-on-the-galmon-weekly-report/>)

Published: 2020-07-07T09:54:59Z

Content type: article

Language: en

Sources: [Bert Hubert's writings](<https://devfeed.tech/sources/bert-hubert-s-writings.md>)

Topics: [Monitoring](<https://devfeed.tech/topics/monitoring.md>), [data](<https://devfeed.tech/topics/data.md>), [Open Data](<https://devfeed.tech/topics/open-data.md>), [realtime](<https://devfeed.tech/topics/realtime.md>)

Tags: [blog-post](<https://devfeed.tech/tags/blog-post.md>), [data](<https://devfeed.tech/tags/data.md>), [gnss](<https://devfeed.tech/tags/gnss.md>), [gps](<https://devfeed.tech/tags/gps.md>), [performance](<https://devfeed.tech/tags/performance.md>), [realtime](<https://devfeed.tech/tags/realtime.md>), [report](<https://devfeed.tech/tags/report.md>), [thread](<https://devfeed.tech/tags/thread.md>), [weekly](<https://devfeed.tech/tags/weekly.md>)

### AI overview

The post announces the Galmon.eu unofficial Weekly Galileo Report, a public account of Galileo's performance. It explains that the report uses a worldwide GNSS monitoring platform and open data sources to provide near-real-time visibility into the European navigation system.

### Source excerpt

I have a longer story brewing, but in this post I want to briefly announce the "Galmon.eu unofficial Weekly Performance Report". This is a blog post version of an earlier Twitter thread. I'm very proud to present the first full Galmon.eu Weekly Galileo Report! And the good news is: it was a good week with very little to report. The email has just gone out, but you can also find it here.

## The Galmon GNSS Monitoring Project

DevFeed: [The Galmon GNSS Monitoring Project](<https://devfeed.tech/articles/the-galmon-gnss-monitoring-project-36411.md>)

Original publisher: [Read original article](<https://berthub.eu/articles/posts/galmon-project/>)

Published: 2020-01-08T12:53:08Z

Content type: article

Language: en

Sources: [Bert Hubert's writings](<https://devfeed.tech/sources/bert-hubert-s-writings.md>)

Topics: [Monitoring](<https://devfeed.tech/topics/monitoring.md>), [Open Data](<https://devfeed.tech/topics/open-data.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [data](<https://devfeed.tech/tags/data.md>), [gnss](<https://devfeed.tech/tags/gnss.md>), [irc](<https://devfeed.tech/tags/irc.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [orbit](<https://devfeed.tech/tags/orbit.md>), [outages](<https://devfeed.tech/tags/outages.md>), [space](<https://devfeed.tech/tags/space.md>), [web](<https://devfeed.tech/tags/web.md>)

### AI overview

The Galmon project is an open source and open data monitoring network for major Global Navigation Satellite Systems and space-based augmentation systems. It collects satellite transmissions through a global network of stations and provides coverage maps, raw GNSS data, and automated updates about outages, satellite health, clock changes, and orbit discontinuities.

### Source excerpt

Welcome to the Galmon project! Our goals are to monitor the major Global Navigation Satellite Systems, including GPS, GLONASS, Galileo and BeiDou, but also Space Base Augmentation Systems like WAAS, EGNOS and GAGAN. Galmon is an open source & open data project with a community of over 30 station operators running more than 50 receivers. Some history of the project may be found in the second part of this blog post, and on this page on the big Galileo 2019 outage.

## Regular Expressions and Grouping Sets

DevFeed: [Regular Expressions and Grouping Sets](<https://devfeed.tech/articles/regular-expressions-and-grouping-sets-34563.md>)

Original publisher: [Read original article](<https://tapoueh.org/blog/2017/08/regular-expressions-and-grouping-sets/>)

Author: Dimitri Fontaine PostgreSQL Major Contributor; Author

Published: 2017-08-14T14:37:53Z

Content type: tutorial

Language: en

Sources: [Dimitri Fontaine](<https://devfeed.tech/sources/dimitri-fontaine.md>)

Topics: [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [Regular expression](<https://devfeed.tech/topics/regular-expression.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [data-processing](<https://devfeed.tech/topics/data-processing.md>), [Open Data](<https://devfeed.tech/topics/open-data.md>), [Structured-data](<https://devfeed.tech/topics/structured-data.md>), [CSV](<https://devfeed.tech/topics/csv.md>), [elt](<https://devfeed.tech/topics/elt.md>), [etl](<https://devfeed.tech/topics/etl.md>)

Tags: [array](<https://devfeed.tech/tags/array.md>), [csv](<https://devfeed.tech/tags/csv.md>), [data-processing](<https://devfeed.tech/tags/data-processing.md>), [elt](<https://devfeed.tech/tags/elt.md>), [etl](<https://devfeed.tech/tags/etl.md>), [functions](<https://devfeed.tech/tags/functions.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [regexp](<https://devfeed.tech/tags/regexp.md>), [regular-expressions](<https://devfeed.tech/tags/regular-expressions.md>), [sql](<https://devfeed.tech/tags/sql.md>), [table](<https://devfeed.tech/tags/table.md>)

### AI overview

A PostgreSQL tutorial showing how to split hierarchical, comma-separated values from a messy column with regular-expression functions, normalize the results, and analyze category distributions with grouping sets, CUBE, and ROLLUP. It also contrasts ETL with ELT.

### Source excerpt

There's a very rich set of PostgreSQL functions to process text, you can find them all at the String Functions and Operators documentation chapter, with functions such as overlay, substring, position or trim. Or aggregates such as string_agg. And then regular expression functions, including the very powerful regexp_split_to_table.

## The Most Popular Pub Names

DevFeed: [The Most Popular Pub Names](<https://devfeed.tech/articles/the-most-popular-pub-names-34515.md>)

Original publisher: [Read original article](<https://tapoueh.org/blog/2013/08/the-most-popular-pub-names/>)

Author: Dimitri Fontaine PostgreSQL Major Contributor; Author

Published: 2013-08-02T08:19:00Z

Content type: tutorial

Language: en

Sources: [Dimitri Fontaine](<https://devfeed.tech/sources/dimitri-fontaine.md>)

Topics: [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [MongoDB](<https://devfeed.tech/topics/mongodb.md>), [Open Data](<https://devfeed.tech/topics/open-data.md>), [XML](<https://devfeed.tech/topics/xml.md>), [Python](<https://devfeed.tech/topics/python.md>), [GitHub](<https://devfeed.tech/topics/github.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [concurrent](<https://devfeed.tech/tags/concurrent.md>), [data](<https://devfeed.tech/tags/data.md>), [format](<https://devfeed.tech/tags/format.md>), [github](<https://devfeed.tech/tags/github.md>), [mongodb](<https://devfeed.tech/tags/mongodb.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [python](<https://devfeed.tech/tags/python.md>), [sql](<https://devfeed.tech/tags/sql.md>)

### AI overview

This technical article compares a MongoDB approach for geographic queries on OpenStreetMap data with a PostgreSQL and SQL-based approach. It describes loading XML data into PostgreSQL, including streaming parsing, and explains how SQL can normalize the data and express complex queries.

### Source excerpt

In his article titled The Most Popular Pub Names Ross Lawley did show us how to perform some quite interesting geographic queries against MongoDB, using some nice Open Data found at the Open Street Map project.

## Cal Henderson - Building Flickr

DevFeed: [Cal Henderson - Building Flickr](<https://devfeed.tech/articles/cal-henderson-building-flickr-35293.md>)

Original publisher: [Read original article](<https://darkcoding.net/future-of-web-apps/cal-henderson-building-flickr/>)

Author: Graham King

Published: 2006-02-18T13:39:52Z

Content type: article

Language: en

Sources: [Graham King](<https://devfeed.tech/sources/graham-king.md>)

Topics: [Web](<https://devfeed.tech/topics/web.md>), [web applications](<https://devfeed.tech/topics/web-applications.md>), [API](<https://devfeed.tech/topics/api.md>), [Ajax](<https://devfeed.tech/topics/ajax.md>), [Mod\_rewrite](<https://devfeed.tech/topics/mod-rewrite.md>), [XML](<https://devfeed.tech/topics/xml.md>), [Mobile](<https://devfeed.tech/topics/mobile.md>), [Open Data](<https://devfeed.tech/topics/open-data.md>), [export](<https://devfeed.tech/topics/export.md>), [import](<https://devfeed.tech/topics/import.md>), [Firefox](<https://devfeed.tech/topics/firefox.md>)

Tags: [ajax](<https://devfeed.tech/tags/ajax.md>), [api](<https://devfeed.tech/tags/api.md>), [export](<https://devfeed.tech/tags/export.md>), [firefox](<https://devfeed.tech/tags/firefox.md>), [futureofwebapps](<https://devfeed.tech/tags/futureofwebapps.md>), [import](<https://devfeed.tech/tags/import.md>), [mobile](<https://devfeed.tech/tags/mobile.md>), [mod-rewrite](<https://devfeed.tech/tags/mod-rewrite.md>), [notifications](<https://devfeed.tech/tags/notifications.md>), [software](<https://devfeed.tech/tags/software.md>), [web](<https://devfeed.tech/tags/web.md>)

### AI overview

Notes from Cal Henderson's talk on building Flickr, covering collaboration, data aggregation, public APIs, clean URLs, AJAX, Unicode, desktop and mobile integration, open data, and open content.

### Source excerpt

Build Flickr: Lessons from the Web 2.0 Pioneer.