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There are several open source projects that provide similar data version control capabilities to DVC, [52] such as: Git LFS, Dolt, Nessie, and lakeFS. These projects vary in their fit to the different needs of data engineers and data scientists such as: scalability, supported file formats, support in tabular data and unstructured data, volume ...
List of GitHub repositories of the project: Red Hat Government This data is not pre-processed List of GitHub repositories of the project: Red Hat Consulting This data is not pre-processed List of GitHub repositories of the project: Red Hat Communities of Practice This data is not pre-processed List of GitHub repositories of the project
There is also an active R community around the tidyverse. For example, there is the TidyTuesday social data project organised by the Data Science Learning Community (DSLC), [16] where varied real-world datasets are released each week for the community to participate, share, practice, and make learning to work with data easier. [17]
Figshare is an online open access repository where researchers can preserve and share their research outputs, including figures, datasets, images, and videos. [1] It is free to upload content and free to access, in adherence to the principle of open data.
The Dataverse is an open source web application to share, preserve, cite, explore and analyze research data. [1] [2] Researchers, data authors, publishers, data distributors, and affiliated institutions all receive appropriate credit via a data citation with a persistent identifier (e.g., DOI, or handle). A Dataverse repository hosts multiple ...
Dryad is an international open-access repository of research data, especially data underlying scientific and medical publications (mainly of evolutionary, genetic, and ecology biology). Dryad is a curated general-purpose repository that makes data discoverable, freely reusable, and citable.
Zenodo is a general-purpose open repository developed under the European OpenAIRE program and operated by CERN. [1] [2] [3] It allows researchers to deposit research papers, data sets, research software, reports, and any other research related digital artefacts.
Fluentd was positioned for "big data," semi- or un-structured data sets.It analyzes event logs, application logs, and clickstreams. [3] According to Suonsyrjä and Mikkonen, the "core idea of Fluentd is to be the unifying layer between different types of log inputs and outputs.", [4] Fluentd is available on Linux, macOS, and Windows.