gwframe

High-level Python library to work with gravitational-wave frame (GWF) files, based on framecpp

Resources

Installation

With pip:

pip install gwframe

Pre-built wheels are available for:

Platform	Architecture	Minimum Version
Linux	x86_64, aarch64	glibc 2.34 (e.g., Debian 12, Ubuntu 21.10, Fedora 35, RHEL 9)
macOS	x86_64	macOS 13 (Ventura)
macOS	ARM64	macOS 15 (Sequoia)

With conda:

conda install -c conda-forge gwframe

Features

Multi-frame writing - Write multiple frames to a single file
Multi-channel support - Read all channels or specific lists with a single call
Masked array support - Detect and propagate invalid-data flags as NumPy masked arrays
Self-contained wheels - No external dependencies required for pip installation

Quickstart

Reading frames

import gwframe

# Read single channel
data = gwframe.read('data.gwf', 'L1:GWOSC-16KHZ_R1_STRAIN')
print(f"Read {len(data.array)} samples at {data.sample_rate} Hz")
print(f"Time range: {data.start} to {data.start + data.duration}")

# Read all channels
channels = gwframe.read('data.gwf', channels=None)
for name, timeseries in channels.items():
    print(f"{name}: {len(timeseries.array)} samples")

# Time-based slicing (automatically stitches multiple frames)
data = gwframe.read('multi_frame.gwf', 'L1:STRAIN',
                    start=1234567890.0, end=1234567900.0)

Writing single frames

import gwframe
import numpy as np

data = np.random.randn(16384)
gwframe.write('output.gwf', data, start=1234567890.0,
              sample_rate=16384, name='L1:TEST')

Writing multiple frames

import gwframe
import numpy as np

# Write multiple frames to a single file
with gwframe.FrameWriter('multi_frame.gwf') as writer:
    for i in range(20):
        data = np.random.randn(16384)
        writer.write(data, start=1234567890.0 + i,
                     sample_rate=16384, name='L1:TEST')

# Or without a context manager
writer = gwframe.FrameWriter('multi_frame.gwf')
writer.open()
for i in range(20):
    data = np.random.randn(16384)
    writer.write(data, start=1234567890.0 + i,
                 sample_rate=16384, name='L1:TEST')
writer.close()

Inspecting frames

From the command line:

gwframe inspect data.gwf            # file summary
gwframe inspect -v data.gwf         # + channel listing
gwframe inspect -vvv data.gwf       # + sample rates, dtypes, units, validity
gwframe inspect -vvvv data.gwf      # + invalid-channel report
gwframe inspect -vvvvv data.gwf     # + data preview (reads all data)

Or from Python:

import gwframe

# Get frame information
info = gwframe.get_info('data.gwf')
print(f"Number of frames: {info.num_frames}")
for frame in info.frames:
    print(f"Frame {frame.index}: {frame.name} at GPS {frame.start}, duration {frame.duration}s")

# List all channels
channels = gwframe.get_channels('data.gwf')
for channel in channels:
    print(channel)

Advanced: Full control with Frame objects

import gwframe
import numpy as np

# Create frame with multiple channels and metadata
frame = gwframe.Frame(
    start=1234567890.0,
    duration=1.0,
    name='L1',
    run=1
)

# Add channels
strain = np.random.randn(16384)
frame.add_channel('L1:STRAIN', strain,
                  sample_rate=16384,
                  unit='strain',
                  channel_type='proc')

aux = np.random.randn(1024).astype(np.float32)
frame.add_channel('L1:AUX', aux,
                  sample_rate=1024,
                  unit='counts',
                  channel_type='adc')

# Add metadata
frame.add_history('gwframe', 'Created with gwframe')

# Write with custom compression
frame.write('output.gwf', compression=gwframe.Compression.GZIP)

Handling invalid / masked data

ADC channels in GWF files can carry a data-valid flag indicating the entire channel is suspect. gwframe surfaces this through NumPy masked arrays:

import gwframe

# By default, reading a channel flagged invalid raises an error
try:
    data = gwframe.read('data.gwf', 'H1:ADC-CHANNEL')
except gwframe.InvalidDataError as e:
    print(e)  # suggests allow_invalid=True

# Allow invalid data — returns a masked array
data = gwframe.read('data.gwf', 'H1:ADC-CHANNEL', allow_invalid=True)
if isinstance(data.array, np.ma.MaskedArray):
    print(f"{data.array.count()} valid samples out of {len(data.array)}")

# Write a masked array — ADC channels preserve the flag,
# proc/sim channels warn that the mask is discarded
masked = np.ma.MaskedArray(values, mask=quality_mask)
frame = gwframe.Frame(start=1234567890.0, duration=1.0, name='H1')
frame.add_channel('H1:ADC-CHANNEL', masked,
                  sample_rate=16384, channel_type='adc')

# Control behavior when mask fidelity is lost
frame.add_channel('H1:PROC-CHANNEL', masked,
                  sample_rate=16384, channel_type='proc',
                  on_mask_loss='ignore')  # or 'warn' (default), 'raise'

CLI Tools

gwframe includes a command-line interface for common frame manipulation tasks:

# Inspect a frame file (add -v, -vv, -vvv for more detail)
gwframe inspect data.gwf

# Rename channels
gwframe rename input.gwf -o output.gwf -m "L1:OLD=>L1:NEW"

# Combine channels from multiple files
gwframe combine file1.gwf file2.gwf -o output/

# Keep only specific channels
gwframe select input.gwf -o output.gwf -c L1:STRAIN

# Remove unwanted channels
gwframe drop input.gwf -o output.gwf -c L1:UNWANTED

# Change frame duration
gwframe resize input.gwf -o output/ -d 4.0

# Replace NaN or sentinel values
gwframe impute input.gwf -o output.gwf --fill-value 0.0

# Update channel data from another file
gwframe replace base.gwf --update new.gwf -o output/ -c L1:STRAIN

# Change compression settings
gwframe recompress input.gwf -o output.gwf -c GZIP -l 9

# Chain stages in a single pass, e.g. raw -> curated dataset
gwframe transform raw/ -o curated/ --compression GZIP --level 9 \
    rename -m "L1:GDS-CALIB_STRAIN=>L1:STRAIN" \
    drop -c L1:DEBUG \
    resize -d 4
gwframe transform raw/ -o curated/ --dry-run @curated.recipe   # preview a recipe

# Check two files (or directories) for consistency of data and metadata
gwframe validate a.gwf b.gwf
gwframe validate dir1/ dir2/ --common          # only compare what both sides have
gwframe validate a.gwf b.gwf --metadata-only   # skip sample data (faster)
gwframe validate a.gwf b.gwf --atol 1e-9       # tolerate small float differences

All commands support batch processing with directories and glob patterns. See the CLI documentation for detailed usage and examples.

Download files

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

Source Distribution

gwframe-0.7.0.tar.gz (4.2 MB view details)

Uploaded Sep 15, 2026 Source

Built Distributions

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

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

gwframe-0.7.0-cp314-cp314t-manylinux_2_34_x86_64.whl (18.8 MB view details)

Uploaded Sep 15, 2026 CPython 3.14tmanylinux: glibc 2.34+ x86-64

gwframe-0.7.0-cp314-cp314t-manylinux_2_34_aarch64.whl (18.3 MB view details)

Uploaded Sep 15, 2026 CPython 3.14tmanylinux: glibc 2.34+ ARM64

gwframe-0.7.0-cp314-cp314-manylinux_2_34_x86_64.whl (18.8 MB view details)

Uploaded Sep 15, 2026 CPython 3.14manylinux: glibc 2.34+ x86-64

gwframe-0.7.0-cp314-cp314-manylinux_2_34_aarch64.whl (18.3 MB view details)

Uploaded Sep 15, 2026 CPython 3.14manylinux: glibc 2.34+ ARM64

gwframe-0.7.0-cp314-cp314-macosx_15_0_arm64.whl (4.6 MB view details)

Uploaded Sep 15, 2026 CPython 3.14macOS 15.0+ ARM64

gwframe-0.7.0-cp314-cp314-macosx_13_0_x86_64.whl (4.7 MB view details)

Uploaded Sep 15, 2026 CPython 3.14macOS 13.0+ x86-64

gwframe-0.7.0-cp313-cp313t-manylinux_2_34_x86_64.whl (18.8 MB view details)

Uploaded Sep 15, 2026 CPython 3.13tmanylinux: glibc 2.34+ x86-64

gwframe-0.7.0-cp313-cp313t-manylinux_2_34_aarch64.whl (18.3 MB view details)

Uploaded Sep 15, 2026 CPython 3.13tmanylinux: glibc 2.34+ ARM64

gwframe-0.7.0-cp313-cp313-manylinux_2_34_x86_64.whl (18.8 MB view details)

Uploaded Sep 15, 2026 CPython 3.13manylinux: glibc 2.34+ x86-64

gwframe-0.7.0-cp313-cp313-manylinux_2_34_aarch64.whl (18.3 MB view details)

Uploaded Sep 15, 2026 CPython 3.13manylinux: glibc 2.34+ ARM64

gwframe-0.7.0-cp313-cp313-macosx_15_0_arm64.whl (4.6 MB view details)

Uploaded Sep 15, 2026 CPython 3.13macOS 15.0+ ARM64

gwframe-0.7.0-cp313-cp313-macosx_13_0_x86_64.whl (4.7 MB view details)

Uploaded Sep 15, 2026 CPython 3.13macOS 13.0+ x86-64

gwframe-0.7.0-cp312-cp312-manylinux_2_34_x86_64.whl (18.8 MB view details)

Uploaded Sep 15, 2026 CPython 3.12manylinux: glibc 2.34+ x86-64

gwframe-0.7.0-cp312-cp312-manylinux_2_34_aarch64.whl (18.3 MB view details)

Uploaded Sep 15, 2026 CPython 3.12manylinux: glibc 2.34+ ARM64

gwframe-0.7.0-cp312-cp312-macosx_15_0_arm64.whl (4.6 MB view details)

Uploaded Sep 15, 2026 CPython 3.12macOS 15.0+ ARM64

gwframe-0.7.0-cp312-cp312-macosx_13_0_x86_64.whl (4.7 MB view details)

Uploaded Sep 15, 2026 CPython 3.12macOS 13.0+ x86-64

gwframe-0.7.0-cp311-cp311-manylinux_2_34_x86_64.whl (18.8 MB view details)

Uploaded Sep 15, 2026 CPython 3.11manylinux: glibc 2.34+ x86-64

gwframe-0.7.0-cp311-cp311-manylinux_2_34_aarch64.whl (18.3 MB view details)

Uploaded Sep 15, 2026 CPython 3.11manylinux: glibc 2.34+ ARM64

gwframe-0.7.0-cp311-cp311-macosx_15_0_arm64.whl (4.6 MB view details)

Uploaded Sep 15, 2026 CPython 3.11macOS 15.0+ ARM64

gwframe-0.7.0-cp311-cp311-macosx_13_0_x86_64.whl (4.7 MB view details)

Uploaded Sep 15, 2026 CPython 3.11macOS 13.0+ x86-64

gwframe-0.7.0-cp310-cp310-manylinux_2_34_x86_64.whl (18.8 MB view details)

Uploaded Sep 15, 2026 CPython 3.10manylinux: glibc 2.34+ x86-64

gwframe-0.7.0-cp310-cp310-manylinux_2_34_aarch64.whl (18.3 MB view details)

Uploaded Sep 15, 2026 CPython 3.10manylinux: glibc 2.34+ ARM64

gwframe-0.7.0-cp310-cp310-macosx_15_0_arm64.whl (4.6 MB view details)

Uploaded Sep 15, 2026 CPython 3.10macOS 15.0+ ARM64

gwframe-0.7.0-cp310-cp310-macosx_13_0_x86_64.whl (4.7 MB view details)

Uploaded Sep 15, 2026 CPython 3.10macOS 13.0+ x86-64

File details

Details for the file gwframe-0.7.0.tar.gz.

File metadata

Download URL: gwframe-0.7.0.tar.gz
Upload date: Sep 15, 2026
Size: 4.2 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0.tar.gz
Algorithm	Hash digest
SHA256	`fe04eef8da76efe52a312165ba97a99656a4a3c11dcf4c0607621c69f8e600ae`
MD5	`7b66d27d8a41347e552f921fac448f6d`
BLAKE2b-256	`5a3533d1db34fd35399ad3247ebec64b6a60a414e86a71aa6d32c76c110f3b72`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp314-cp314t-manylinux_2_34_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp314-cp314t-manylinux_2_34_x86_64.whl
Upload date: Sep 15, 2026
Size: 18.8 MB
Tags: CPython 3.14t, manylinux: glibc 2.34+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp314-cp314t-manylinux_2_34_x86_64.whl
Algorithm	Hash digest
SHA256	`85ac91536909f3635a43756ed2f93fe59543b7a61c9b366d6599ae67a513706f`
MD5	`f7ebbcb957290e8b5dbf6640cc3f24ef`
BLAKE2b-256	`f6b9db4c21981909a912b8b22367f98258442d98557b224aa34c2db3a09f502e`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp314-cp314t-manylinux_2_34_aarch64.whl.

File metadata

Download URL: gwframe-0.7.0-cp314-cp314t-manylinux_2_34_aarch64.whl
Upload date: Sep 15, 2026
Size: 18.3 MB
Tags: CPython 3.14t, manylinux: glibc 2.34+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp314-cp314t-manylinux_2_34_aarch64.whl
Algorithm	Hash digest
SHA256	`34e4073fef0b632b4228f907d948be5642b9d6aa5bd0f44d75c6f7447a1f5f8b`
MD5	`09c0b832b874f72384a3b296ac6c6ccb`
BLAKE2b-256	`2508841b00c531cfd641611895c68ff26352365803c6dd51f29277ce67de9d35`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp314-cp314-manylinux_2_34_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp314-cp314-manylinux_2_34_x86_64.whl
Upload date: Sep 15, 2026
Size: 18.8 MB
Tags: CPython 3.14, manylinux: glibc 2.34+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp314-cp314-manylinux_2_34_x86_64.whl
Algorithm	Hash digest
SHA256	`ff829c781f025194052f2b1f6ad1802add80c9b34e0c811dd0da20b5b6879d1f`
MD5	`7b9367b1b80cbd2dbed231f64e23dd64`
BLAKE2b-256	`57e5577837ab301106c6de5e83c31458068ca31d0fe30ecdcddfbe8ee40e6a2b`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp314-cp314-manylinux_2_34_aarch64.whl.

File metadata

Download URL: gwframe-0.7.0-cp314-cp314-manylinux_2_34_aarch64.whl
Upload date: Sep 15, 2026
Size: 18.3 MB
Tags: CPython 3.14, manylinux: glibc 2.34+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp314-cp314-manylinux_2_34_aarch64.whl
Algorithm	Hash digest
SHA256	`abfa8b79d6c14ba82287b62dfa03e6eda83e7e6a5f4d065617d1ae88300e2ce1`
MD5	`27a1841f5ae94645655c6b021deb0fbe`
BLAKE2b-256	`1b829ae4b53790d6799f5497511dc1f3cd2428c61f5ddc0c959d3f1cb2854322`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp314-cp314-macosx_15_0_arm64.whl.

File metadata

Download URL: gwframe-0.7.0-cp314-cp314-macosx_15_0_arm64.whl
Upload date: Sep 15, 2026
Size: 4.6 MB
Tags: CPython 3.14, macOS 15.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp314-cp314-macosx_15_0_arm64.whl
Algorithm	Hash digest
SHA256	`df141ceb7ecc9c64bca461f1c7814f697abf65c1777ab6d8195b2fcda4f06380`
MD5	`cbc334fac7199ec2fe20d32c7f084978`
BLAKE2b-256	`e0d93cd8849c9caf5ba8119ddece96ae18bcbc2a511c87dc88d48e131aab5849`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp314-cp314-macosx_13_0_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp314-cp314-macosx_13_0_x86_64.whl
Upload date: Sep 15, 2026
Size: 4.7 MB
Tags: CPython 3.14, macOS 13.0+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp314-cp314-macosx_13_0_x86_64.whl
Algorithm	Hash digest
SHA256	`225233ba3b0466ce972493022ce72813bb7de8f1d986518f1df09c14dd9a61a0`
MD5	`a8c93c3999d901156d0590b62757efb1`
BLAKE2b-256	`e8ad760cb78f176bfabd43c6fa852200a5a3df4f2444e2236247f79f3a65dbe5`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp313-cp313t-manylinux_2_34_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp313-cp313t-manylinux_2_34_x86_64.whl
Upload date: Sep 15, 2026
Size: 18.8 MB
Tags: CPython 3.13t, manylinux: glibc 2.34+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp313-cp313t-manylinux_2_34_x86_64.whl
Algorithm	Hash digest
SHA256	`e9055aca8457d3b41da4127e0e6984ee74b6482f6d89ba88f695afa2902a0501`
MD5	`3aa73ef31fd613d0237d7596dd0ba6c9`
BLAKE2b-256	`dd4d773b3cab6fa9777c1273483caae833c0a09fca17867a07986e2b83687ff7`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp313-cp313t-manylinux_2_34_aarch64.whl.

File metadata

Download URL: gwframe-0.7.0-cp313-cp313t-manylinux_2_34_aarch64.whl
Upload date: Sep 15, 2026
Size: 18.3 MB
Tags: CPython 3.13t, manylinux: glibc 2.34+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp313-cp313t-manylinux_2_34_aarch64.whl
Algorithm	Hash digest
SHA256	`a7d893de35953e2fdef6280da193bf7d7252eff1617d4b3904be2ec0beb65bf1`
MD5	`62fffd6df7efca547cc9863c1040f8ee`
BLAKE2b-256	`760d9f9122b2b662c47fdb9c25e81e7a5ddb3a6505087b043645b65e9bbd7e60`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp313-cp313-manylinux_2_34_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp313-cp313-manylinux_2_34_x86_64.whl
Upload date: Sep 15, 2026
Size: 18.8 MB
Tags: CPython 3.13, manylinux: glibc 2.34+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp313-cp313-manylinux_2_34_x86_64.whl
Algorithm	Hash digest
SHA256	`60d6fa1dab69ad53ad9e525fc282f688db6a9ce37046c5fef0de0e348cb74b14`
MD5	`3fe185e0d3de963ae83feac51dd0f4a1`
BLAKE2b-256	`b604f84dc4b9826daa4863fb6b0cbe4ec19bdf70b2a6eef770e32d38938a5ef3`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp313-cp313-manylinux_2_34_aarch64.whl.

File metadata

Download URL: gwframe-0.7.0-cp313-cp313-manylinux_2_34_aarch64.whl
Upload date: Sep 15, 2026
Size: 18.3 MB
Tags: CPython 3.13, manylinux: glibc 2.34+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp313-cp313-manylinux_2_34_aarch64.whl
Algorithm	Hash digest
SHA256	`77d4842a7ff5cf8fb5c5ed45524d0270fbfe782a78fc64204783b659a4ec10db`
MD5	`aa310935c9a9b5f703d23b78df9d6b6e`
BLAKE2b-256	`ccd43a68cb5d52c0ecffcbb7e4f57a6a44c62b4bd538fab1e222e0deb7fc3057`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp313-cp313-macosx_15_0_arm64.whl.

File metadata

Download URL: gwframe-0.7.0-cp313-cp313-macosx_15_0_arm64.whl
Upload date: Sep 15, 2026
Size: 4.6 MB
Tags: CPython 3.13, macOS 15.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp313-cp313-macosx_15_0_arm64.whl
Algorithm	Hash digest
SHA256	`6e6ba9f2c1a4e41051f2de344c82bd526e099f79ea68074e19b53ca8e0ac66a2`
MD5	`f09b824fb3bf797df3c7edf4002d6182`
BLAKE2b-256	`36fd497ac726ee269752082262e2447932daca436e97f139fa70c58a9a20dd40`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp313-cp313-macosx_13_0_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp313-cp313-macosx_13_0_x86_64.whl
Upload date: Sep 15, 2026
Size: 4.7 MB
Tags: CPython 3.13, macOS 13.0+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp313-cp313-macosx_13_0_x86_64.whl
Algorithm	Hash digest
SHA256	`7c1a252378d295f0b5ae677d76c4e6a05f983f4c41bcae3885fd27aaf93114c7`
MD5	`bd3955e4d3fa10990cf64ccccabd02a2`
BLAKE2b-256	`df5598cda07ece74c5896828268bba7faca3d5f809ba261ed11a5f67c0c4f327`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp312-cp312-manylinux_2_34_x86_64.whl
Upload date: Sep 15, 2026
Size: 18.8 MB
Tags: CPython 3.12, manylinux: glibc 2.34+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm	Hash digest
SHA256	`f467a7827a3e966e07ab97736fa4c3baf10689df69c9c33f64dff4b07e3a632a`
MD5	`613b4e0c2d26c5105d349b0ba68b3019`
BLAKE2b-256	`7d1ea6c0f9a145d48d27b836330b0001fa54d163449cf1af13d8eee0b1cd6d70`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp312-cp312-manylinux_2_34_aarch64.whl.

File metadata

Download URL: gwframe-0.7.0-cp312-cp312-manylinux_2_34_aarch64.whl
Upload date: Sep 15, 2026
Size: 18.3 MB
Tags: CPython 3.12, manylinux: glibc 2.34+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp312-cp312-manylinux_2_34_aarch64.whl
Algorithm	Hash digest
SHA256	`7d6f148f1fe7af6641683edfa05bd81e611990efc7a3a0753921a6cd1b6377b8`
MD5	`ac77b6031ebd0720808540455c241364`
BLAKE2b-256	`c8372fcad04c9f4b7676bd878b640d1b99ac0b6544a8487f985ba3c2ebc7264f`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp312-cp312-macosx_15_0_arm64.whl.

File metadata

Download URL: gwframe-0.7.0-cp312-cp312-macosx_15_0_arm64.whl
Upload date: Sep 15, 2026
Size: 4.6 MB
Tags: CPython 3.12, macOS 15.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp312-cp312-macosx_15_0_arm64.whl
Algorithm	Hash digest
SHA256	`1b41c06662bfb5c6099202d05d1e082654db2c3a841adc7bc878fdd158afb704`
MD5	`36026692d564adf95e201b8acd644e95`
BLAKE2b-256	`dc890d58fc9ee17e582eac3eacd12b645d677d6960e02431e366bb97c6f365be`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp312-cp312-macosx_13_0_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp312-cp312-macosx_13_0_x86_64.whl
Upload date: Sep 15, 2026
Size: 4.7 MB
Tags: CPython 3.12, macOS 13.0+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp312-cp312-macosx_13_0_x86_64.whl
Algorithm	Hash digest
SHA256	`b412354086a5cd9d393b1cac6404af4a8fef40348bcfd2a6d477b27055a27d9d`
MD5	`4ff72cbb3a5f5c864fdf3fb6dd2873da`
BLAKE2b-256	`80b5aeea06523a78314b2b86b798265483305fdebb56ab9418d6a148c8c4242d`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp311-cp311-manylinux_2_34_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp311-cp311-manylinux_2_34_x86_64.whl
Upload date: Sep 15, 2026
Size: 18.8 MB
Tags: CPython 3.11, manylinux: glibc 2.34+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp311-cp311-manylinux_2_34_x86_64.whl
Algorithm	Hash digest
SHA256	`dd97b84d85eb4056cf6f655a2383633f1617d15191c66cd3a936114821386828`
MD5	`29be9533572305cf86218a3812a085bb`
BLAKE2b-256	`31f57b12f5661f0ee1092dbebad0d07fe1ccf874a289bfc925efe4811f8a2b01`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp311-cp311-manylinux_2_34_aarch64.whl.

File metadata

Download URL: gwframe-0.7.0-cp311-cp311-manylinux_2_34_aarch64.whl
Upload date: Sep 15, 2026
Size: 18.3 MB
Tags: CPython 3.11, manylinux: glibc 2.34+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp311-cp311-manylinux_2_34_aarch64.whl
Algorithm	Hash digest
SHA256	`a3de6f062bd4bfee1d25647de7a099eee947d5d16e24e144dc9de7ebe2603d8e`
MD5	`bd61cc006cfb27aba06cded2619da3e8`
BLAKE2b-256	`36111adda96e8aebd15895f57a9197ce7f23b3c2d690abc7cd859e0e1cb344a2`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp311-cp311-macosx_15_0_arm64.whl.

File metadata

Download URL: gwframe-0.7.0-cp311-cp311-macosx_15_0_arm64.whl
Upload date: Sep 15, 2026
Size: 4.6 MB
Tags: CPython 3.11, macOS 15.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp311-cp311-macosx_15_0_arm64.whl
Algorithm	Hash digest
SHA256	`b60db87c95b8ac306ee71cffad07dfc1bc358125be6f7ecc9c5519d195b4e476`
MD5	`6a8cf1d2a8ebe9352d23f50a93daf03a`
BLAKE2b-256	`7afa6e6a4e48f31b95392006571cd8db081e6116fc77e4700204e50e03956ea9`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp311-cp311-macosx_13_0_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp311-cp311-macosx_13_0_x86_64.whl
Upload date: Sep 15, 2026
Size: 4.7 MB
Tags: CPython 3.11, macOS 13.0+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp311-cp311-macosx_13_0_x86_64.whl
Algorithm	Hash digest
SHA256	`877a899e8a4b05538f174e35b29e4b6aba71bd4555b82b9312261b6a176b9229`
MD5	`f7c97d7e08cfc244ff69174fe2a4f19b`
BLAKE2b-256	`c777c778dec70241bfd9e97333c42adaf0b77f4ff586cadbed99e363e9228d8b`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp310-cp310-manylinux_2_34_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp310-cp310-manylinux_2_34_x86_64.whl
Upload date: Sep 15, 2026
Size: 18.8 MB
Tags: CPython 3.10, manylinux: glibc 2.34+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp310-cp310-manylinux_2_34_x86_64.whl
Algorithm	Hash digest
SHA256	`6c7d927e5b932a5a5e5822b25ab8df356b4f15d1227d7d968d5827c81e692267`
MD5	`ab6de57980255a118cc515e4a417c0b6`
BLAKE2b-256	`731df59d3123496ff94efd1f999abe1d400893372ddce9f974b8b62ad38acb41`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp310-cp310-manylinux_2_34_aarch64.whl.

File metadata

Download URL: gwframe-0.7.0-cp310-cp310-manylinux_2_34_aarch64.whl
Upload date: Sep 15, 2026
Size: 18.3 MB
Tags: CPython 3.10, manylinux: glibc 2.34+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp310-cp310-manylinux_2_34_aarch64.whl
Algorithm	Hash digest
SHA256	`866537af918d2011be4269365e51ef7c51a36b3e626610637d8cb54cb7d5a2bb`
MD5	`4cf94ce37afef6cd8b31fe20d2654bec`
BLAKE2b-256	`93b928013c4f785da1b80206e30dd3ca243025f4f434dd3c6087357be0b27009`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp310-cp310-macosx_15_0_arm64.whl.

File metadata

Download URL: gwframe-0.7.0-cp310-cp310-macosx_15_0_arm64.whl
Upload date: Sep 15, 2026
Size: 4.6 MB
Tags: CPython 3.10, macOS 15.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp310-cp310-macosx_15_0_arm64.whl
Algorithm	Hash digest
SHA256	`8f771e1017e6c07f9e2f684a07bc977be1c2406f28376ac796af4f8a7bcdeb29`
MD5	`22a93feff892d9e1733c3cdd9aa4e1a4`
BLAKE2b-256	`dadf71282ca915544633e8e77ad9346a97fcb8efe2ecb990927f79620c2fdc2c`

See more details on using hashes here.

File details

Details for the file gwframe-0.7.0-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

Download URL: gwframe-0.7.0-cp310-cp310-macosx_13_0_x86_64.whl
Upload date: Sep 15, 2026
Size: 4.7 MB
Tags: CPython 3.10, macOS 13.0+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.14.7

File hashes

Hashes for gwframe-0.7.0-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm	Hash digest
SHA256	`08306891fb194c0c985a7d0eac0b9e2fdc28fc2fe844ee181beb7b34cdc1317a`
MD5	`87a6b4693e1aa0a8440836c38e601995`
BLAKE2b-256	`366a2b2fde517d32017802aa23dee4023fa2ccf91f3224b295f2a38355f905d6`