Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
A lightweight Python wrapper for the Datawrapper API
pandas.DataFrame
or a GeoJSON file with one simple callpipenv install datawrapper
You can see the list of available releases on the GitHub Releases page.
We follow Semantic Versions specification. When you're ready to make a new release, visit the releases page and create a new entry. Set the tags and press publish. That will trigger a GitHub Action that automatically deploys the code to the Python Package Index.
This project is licensed under the terms of the MIT
license. See LICENSE for more details.
@misc{datawrapper,
author = {chekos},
title = {A light-weight python wrapper for the Datawrapper API (v3). While it is not developed by Datawrapper officially, you can use it with your API credentials from datawrapper.de},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/chekos/datawrapper}}
}
FAQs
A lightweight Python wrapper for the Datawrapper API
We found that datawrapper demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.