Skip to main content

Environmental Data Management Toolbox

Project description

EDMT — Environmental Data Management Toolbox

PyPI version docs tests Jupyter Lab license


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/


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

edmt-1.0.7.post1.tar.gz (39.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

edmt-1.0.7.post1-py3-none-any.whl (39.5 kB view details)

Uploaded Python 3

File details

Details for the file edmt-1.0.7.post1.tar.gz.

File metadata

  • Download URL: edmt-1.0.7.post1.tar.gz
  • Upload date:
  • Size: 39.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for edmt-1.0.7.post1.tar.gz
Algorithm Hash digest
SHA256 0693d82ed15b527e25ea227f5e7b560e887b3e58dec145d829ec7ae3a131dd5a
MD5 a3aac4055d43e7883e09c069d8b118d8
BLAKE2b-256 32bf61e43bec562249648922f9b1f3172a5fdd92e45fb5f62adaf8f64f397e0a

See more details on using hashes here.

File details

Details for the file edmt-1.0.7.post1-py3-none-any.whl.

File metadata

  • Download URL: edmt-1.0.7.post1-py3-none-any.whl
  • Upload date:
  • Size: 39.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for edmt-1.0.7.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 5430b1dc3f00247caedc981b61e60b365d19ffd12d3ca9ecc246f658c0a15afa
MD5 9505dd35ebb53364b098296dbcc5581a
BLAKE2b-256 933e1b9ea7a822a36583cbddfcb3ae5d508dbc37b195be8a15ee02b2729827e3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page