Format Apache Arrow defines a language-independent columnar memory format for flat and nested data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. Learn more about the design or read the specification. Libraries Arrow's libraries implement the for
Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API. Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world. It is part of a wider ecosystem of 46
The COVID-19 crisis has rapidly changed the way we live and work, and many organizations have shifted to remote work or are implementing a hybrid remote work approach as they reopen physical locations. To support this shift to hybrid remote work, we continue to improve the Microsoft Power Platform integration with Microsoft Teams to enable our customers to tailor Microsoft 365 to their needs and e
On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources: Global: World Health Organization (WHO) U.S.: U.S. Centers for Disease Control and Prevention (CDC) For more information, visit the Johns Hopkins Coronavirus Resource Center. This is the data re
Alina Birjuk collected croissants around the city: I got a push into starting the project by getting inspired with an exhibition in ZHdK by Tulio Bühler. He made ceramic shapes from croissants he found in Zürich. That made me see how one “simple” thing can be so different. I wanted to take a closer look and give some light to croissants of Zürich. Every bakery has its own way, recipe and it’s own
MTGJSON Portable formats for all Magic: The Gathering dataMTGJSON is an open-source project that catalogs all Magic: The Gathering data in portable formats. Using an aggregation process we fetch information between multiple resources and approved partners, and combine all that data in to various downloadable formats. Explore The Documentation Featured HighlightsPortable FormatsYou can download our
DATA SCRAPING SHOULD BE EASY Turn website content into datasets Run web scrapers in the cloud or on your PC for free GET YOUR FREE ACCOUNT EXPLORE FREE SCRAPERS Diggernaut is a cloud-based service for web scraping, data extraction, and other ETL (Extract, Transform, Load) tasks. If you are a reseller of goods and your supplier does not let you have their data in a suitable format, such as Excel or
OpenRefine is a powerful free, open source tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data. Our goal is to empower everyone to meaningfully engage with data by providing an accessible open source tool and nurturing a diverse, supportive community. Download
Servus! Up to 100 DBpedians joined us on this year’s DBpedia Day on September 3rd, 2025 in Vienna, Austria. The DBpedia Day was again part of the SEMANTiCS Conference. First and foremost, we want to thank the Institute for Applied Informatics for supporting our community and many thanks to … Read more ASSOCIATION The DBpedia Association was founded in 2014 to support DBpedia and the DBpedia Commu
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