Skip to main content

pyOpenFEMA

A python package for easily reading OpenFEMA datasets.

This package is intended to facilitate better access and promote more rapid analysis of OpenFEMA data. It is a wrapper around the OpenFEMA API, which allows for direct reading of datasets into a pandas dataframe without a user having to manually set up the API URL to the data. Users can either read in the full dataset or read in a subset of a dataset.

Please report any bugs, suggest enhancements, or ask questions by creating an issue.

Installation

The package can be installed using pip

pip install pyOpenFEMA

Basic Usage

At a basic level, a dataset can be read with:

from pyOpenFEMA import OpenFEMA

# Initialize the OpenFEMA session
openfema = OpenFEMA()

# List available datasets
print(openfema.list_datasets())

# Read in a dataset
df_femaregions = openfema.read_dataset('FemaRegions')

For more details and how to subset a dataset, see the tutorial notebook.

Metadata

Release files for pyOpenFEMA 1.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyOpenFEMA 1.1.1
File Size Uploaded
pyopenfema-1.1.1.tar.gz 16.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyOpenFEMA 1.1.1
File Interpreter ABI Platform
pyopenfema-1.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 28.4 kB

Release files / pyopenfema-1.1.1.tar.gz

Download URL pyopenfema-1.1.1.tar.gz
Size 16.8 kB
Tags Source
SHA-256 checksum
How to use checksums
bfd3ebc984be60cdc7105f6ecefd40c3197fb4dac35097d874c4fe0c0b198287
BLAKE2b-256 checksum
How to use checksums
6874b6f9fb7e56577a4a8096b5ac87f14a33f79c90b567d1c2b2f9b4e8cf4bc1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 10, 2025.

Transparency log

Release files / pyopenfema-1.1.1-py3-none-any.whl

Download URL pyopenfema-1.1.1-py3-none-any.whl
Size 11.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2cd277a537a8ddf377e4eb3da7889e30a07408f4fedfabd7fa1d0e8f56bbcf9d
BLAKE2b-256 checksum
How to use checksums
7eaa5b374c42676b529606118fd39f155bd8046ac970db45893628f562e5440d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 10, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

1.1.1 This release

2 release files

1.1

2 release files

1.0.2

1 release file

1.0.1

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page