EDMT — Environmental Data Management Toolbox
Overview
EDMT (Environmental Data Management Toolbox) is a lightweight Python library for working with environmental and geospatial datasets. It provides practical utilities for data ingestion, cleaning, transformation, and exploratory analysis, helping researchers and analysts build reproducible data workflows.
EDMT integrates well with the Python scientific stack and is particularly useful when working with time-series environmental data, spatial datasets, and monitoring data pipelines.
It is designed for:
- Environmental scientists
- Conservation and wildlife monitoring teams
- GIS and geospatial developers
- Data analysts working with environmental datasets
Installation
Install directly from PyPI:
pip install edmt
Typical Use Cases
EDMT can support workflows such as:
- Environmental monitoring pipelines
- Remote sensing preprocessing
- Field data quality control
- Environmental research and reporting
Documentation
Full documentation is available here:
https://envdmt.github.io/EDMT/
Metadata
Release files for edmt 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| edmt-1.1.1.tar.gz | 42.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| edmt-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.8 kB
Release files / edmt-1.1.1.tar.gz
| Download URL | edmt-1.1.1.tar.gz |
|---|---|
| Size | 42.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
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Release files / edmt-1.1.1-py3-none-any.whl
| Download URL | edmt-1.1.1-py3-none-any.whl |
|---|---|
| Size | 42.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|