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Environmental Data Python Packages

Python packages with the GitHub topic environmental-data. Sorted by monthly downloads, with stars and forks.
ccomb
pyvolca

Fast open-source LCA engine with API, Python library, CLI, MCP.

2K 10 1
artakulov
us-water-quality-data

US drinking water quality data by ZIP code: EPA violations, typed lead/copper evidence, PFAS, radon, flood risk, and Home Safety Scores for 42,679 ZIPs. 66 federal/state sources. Updated weekly. CC BY 4.0.

2K 4 0
southlondonscientific
aeolus-aq

Download, standardise and store air quality data from worldwide monitoring networks.

2K 18 4
malkreide
wsl-envidat-mcp

MCP server for WSL/EnviDat environmental research data — forest, avalanches, biodiversity, Switzerland

1K 0 0
pnnl
nepa-mcp

PermitAI NEPA MCP Toolkit: MCP servers for federal environmental data, regulatory research, and geospatial screening to support permitting workflows.

603 17 8
BigDataWUR
edam

EDAM (Environmental Data Acquisition Module) is a template framework that facilitates timeseries data acquisition and integration

568 4 2
holukas
fluxatlas

Standalone HTML explorer for eddy covariance records: fluxes, meteorology, badges, trends, day by day

544 1 1
maigonzalezh
atmchile

Python library to download air quality and climate data from Chilean government monitoring networks

361 3 0
Bluerrror
pynwis

A lightweight Python toolkit for downloading, processing, and filtering USGS NWIS daily water data. Supports batch downloads, parameter code discovery, and tidy Pandas DataFrames.

119 0 0
Bluerrror
nwis-data-downloader

A lightweight Python toolkit for downloading, processing, and filtering USGS NWIS daily water data. Supports batch downloads, parameter code discovery, and tidy Pandas DataFrames.

104 0 0
contextualizer-ai
biosample-enricher

Infer AI-friendly environmental and geographic metadata about biosamples from multiple authoritative sources

99 0 0
chrisrac
pyenfra

A Python package for fractal and complexity analysis of time series.

53 3 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology