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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.
Making it easier to navigate and clean TAHMO weather station data for ML development
You can find the documentation for the project by following this link
https://filter-stations.netlify.app/
All methods require an API key and secret, which can be obtained by contacting TAHMO.
retreive_data
class is used to retrieve data from the TAHMO API endpoints.Kieni
class is used to get weather data for stations 100km around Kieni from the central point.Filter
class is used to filter weather stations data based on things like distance and region.pipeline
class is used to create a pipeline of filters to apply to weather stations based on how they correlate with water level data.Interactive_maps
class is used to plot weather stations on an interactive map.Water_level
class is used to retrieve water level data and coordinates of gauging stations.For instructions on shedding weather stations based on your water level data and gauging station coordinates, please refer to the water_level_pipeline.md file.
If you use this package in your research, please cite it using the following BibTeX entry:
@misc{filter-stations,
author = {Austin Kaburia},
title = {filter-stations},
year = {2024},
publisher = {Python Package Index},
journal = {PyPI},
howpublished = {\url{https://pypi.org/project/filter-stations/}},
}
FAQs
Making it easier to navigate and clean TAHMO weather station data for ML development
We found that filter-stations 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.
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