Popular 3k python columnar tables

A set of relational tables stored in a columnar format such as Apache ORC, which is particularly suited for scale-out analyses on data lakes and big data processing ecosystems such as the Hadoop environment.

Comments

The popular-3k-python teaser contains a subset of 3052 popular repositories tagged as being written in the Python language, from GitHub, GitLab.com, PyPI and Debian. The selection criteria to pick the software origins was the following, similar to popular-4k:

  • the 1000 most popular GitHub projects written in Python (by number of stars),
  • the 131 GitLab.com projects written in Python that have 2 stars or more,
  • the 1000 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),
  • the 1000 most popular Debian packages with the debtag implemented-in::python (by "votes" according to the Debian Popularity Contest database).
Dataset size
5.3 GB
Export date
Teaser of
Graph export in columnar tables [2018-09-25]
S3 URL
s3://softwareheritage/graph/2019-01-28-popular-3k-python/parquet/
SWH Annex URL
https://annex.softwareheritage.org/public/dataset/graph/2019-01-28-popular-3k-python/parquet/
Deprecated
False

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  2. cite at least one of the following papers:

Specific datasets might recommend additional citations, to credit their creators.

Download the dataset

The HTTP links point to directories listing all available files. For Amazon S3 links, you'll need to install either awscli or swh.datasets. 

aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2019-01-28-popular-3k-python/parquet/ 2019-01-28-popular-3k-python-parquet
wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/graph/2019-01-28-popular-3k-python/parquet/

By accessing the datasets, you agree with the Software Heritage Ethical Charter for using the archive data, the terms of use for bulk access, and the Software Heritage principles for large language models.

To learn how to use the datasets read the documentation.