pymseed - a Python package to read and write miniSEED formatted data

The pymseed package supports reading and writing of miniSEED formatted data. Both miniSEED version 2 (defined in the SEED standard) and miniSEED version 3 are supported.

The package uses the C-language libmseed for most of the data format and manipulation work.

Installation

The releases should be installed directly from PyPI with, for example, pip install pymseed.

If using numpy features use optional dependency "numpy" or install it independently e.g. pip install pymseed[numpy].

For package development use optional dependency "dev" for needed dependencies e.g. pip install pymseed[dev].

Example usage

Working programs for a variety of use cases can be found in the examples directory of the repository.

Read a file and print details from each record:

from pymseed import MS3Record, TimeFormat

input_file = "examples/example_data.mseed"

for msr in MS3Record.from_file(input_file):
    # Print values directly
    print(f'   SourceID: {msr.sourceid}, record length {msr.reclen}')
    print(f' Start Time: {msr.starttime_str(timeformat=TimeFormat.ISOMONTHDAY_SPACE_Z)}')
    print(f'    Samples: {msr.samplecnt}')

    # Alternatively, use the library print function
    msr.print()

Read a file into a trace list and print the list:

from pymseed import MS3TraceList

traces = MS3TraceList.from_file("examples/example_data.mseed")

# Print the trace list using the library print function
traces.print(details=1, gaps=True)

# Alternatively, traverse the data structures and print each trace ID and segment
for traceid in traces:
    print(traceid)

    for segment in traceid:
        print('  ', segment)

Simple example of writing multiple channels of data:

import math
from pymseed import MS3TraceList, timestr2nstime

# Generate sinusoid data, starting at 0, 45, and 90 degrees
data0 = list(map(lambda x: int(math.sin(math.radians(x)) * 500), range(0, 500)))
data1 = list(map(lambda x: int(math.sin(math.radians(x)) * 500), range(45, 500 + 45)))
data2 = list(map(lambda x: int(math.sin(math.radians(x)) * 500), range(90, 500 + 90)))

traces = MS3TraceList()

output_file = "output.mseed"
sample_rate = 40.0
starttime = timestr2nstime("2024-01-01T15:13:55.123456789Z")
format_version = 2
max_record_length = 512

# Add generated data to the trace list
traces.add_data(sourceid="FDSN:XX_TEST__B_S_1",
                data_samples=data0, sample_type='i',
                sample_rate=sample_rate, starttime=starttime)

traces.add_data(sourceid="FDSN:XX_TEST__B_S_2",
                data_samples=data1, sample_type='i',
                sample_rate=sample_rate, starttime=starttime)

traces.add_data(sourceid="FDSN:XX_TEST__B_S_3",
                data_samples=data2, sample_type='i',
                sample_rate=sample_rate, starttime=starttime)

traces.to_file(output_file,
               format_version=format_version,
               max_record_length=max_record_length)

Converting between Source IDs and NSLC codes

miniSEED 3 and FDSN Source Identifiers use a single string (for example FDSN:IU_COLA_00_B_H_Z) to identify a unique time series channel. Classic SEED-style identifiers split the same information into network, station, location, and channel (NSLC) codes. SourceIDs are a superset of SEED v2 codes, all SEED codes can be represented as SourceIDs, but not all SourceIDs will fit into SEED codes.

The utility methods nslc2sourceid() and sourceid2nslc() support mapping between these identifier systems:

from pymseed import nslc2sourceid, sourceid2nslc

# NSLC (four strings) → FDSN source ID
sid = nslc2sourceid("IU", "COLA", "00", "BHZ")
# 'FDSN:IU_COLA_00_B_H_Z'

# Blank location codes are represented as an empty strings
sid2 = nslc2sourceid("XX", "TEST", "", "BHZ")
# 'FDSN:XX_TEST__B_H_Z'

# Source ID → (network, station, location, channel)
net, sta, loc, chan = sourceid2nslc("FDSN:IU_COLA_00_B_H_Z")
assert (net, sta, loc, chan) == ("IU", "COLA", "00", "BHZ")

# To accommodate practical identifier conversion `sourceid2nslc()` does not
# strictly require field lengths for SEED v2 conformance, instead converting
# fields to their most SEED-like form.  For example single character
# Source ID fields of band, source and subsource are collapsed to a SEED
# channel (B_H_Z -> BHZ); but if the codes cannot form a SEED channel
# they are left in the "extended channel" form of Source IDs.  Furthermore,
# larger-than-SEED network, station, and location codes are not truncated
# to fit SEED v2 fields.  For example:

nslc = sourceid2nslc("FDSN:NETWORK_STATION_LOCATION_G_SR_1")
assert nslc == ('NETWORK', 'STATION', 'LOCATION', 'G_SR_1')

Invalid source IDs raise ValueError from sourceid2nslc(); invalid NSLC combinations raise ValueError from nslc2sourceid().

Threaded usage

The pymseed package is safe to use with threads as long as the threads are not sharing data structures, e.g. a MS3TraceList.

The underlying libmseed library uses thread-local storage for logging, allowing each thread to have its own logging configuration.

When using threads, call configure_logging() in each thread to initialize the logging registry for that thread. This can be done either explicitly at the start of the thread function or as an initializer for thread pools:

from concurrent.futures import ThreadPoolExecutor
from pymseed import configure_logging, MS3TraceList

def process_file(filename):
    traces = MS3TraceList.from_file(filename)
    # ... process traces ...
    return len(traces)

# A list of files to process (silly example)
file_list = ["examples/example_data.mseed",
             "examples/example_data.mseed"]

# Using initializer to configure logging for each worker thread
with ThreadPoolExecutor(max_workers=4, initializer=configure_logging) as executor:
    results = executor.map(process_file, file_list)

Package design rationale

The package functionality and exposed API are designed to support the most common use cases of reading and writing miniSEED data using libmseed. Extensions of data handling beyond the functionality of the library are out-of-scope for this package. Furthermore, the naming of functions, classes, arguments, etc. often follows the naming used in the library in order to reference their fundamentals at the C level if needed; even though this leaves some names distinctly non-Pythonic.

In a nutshell, the goal of this package is to provide just enough of a Python layer to libmseed to handle the most common cases of miniSEED data without needing to know any of the C-level details.

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Download files

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

Source Distribution

pymseed-0.9.4.tar.gz (1.8 MB view details)

Uploaded Aug 6, 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.

pymseed-0.9.4-pp311-pypy311_pp73-win_amd64.whl (245.6 kB view details)

Uploaded Aug 6, 2026 PyPyWindows x86-64

pymseed-0.9.4-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (320.7 kB view details)

Uploaded Aug 6, 2026 PyPymanylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymseed-0.9.4-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (321.9 kB view details)

Uploaded Aug 6, 2026 PyPymanylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pymseed-0.9.4-pp311-pypy311_pp73-macosx_11_0_arm64.whl (282.4 kB view details)

Uploaded Aug 6, 2026 PyPymacOS 11.0+ ARM64

pymseed-0.9.4-pp311-pypy311_pp73-macosx_10_15_x86_64.whl (300.7 kB view details)

Uploaded Aug 6, 2026 PyPymacOS 10.15+ x86-64

pymseed-0.9.4-cp314-cp314-win_arm64.whl (249.1 kB view details)

Uploaded Aug 6, 2026 CPython 3.14Windows ARM64

pymseed-0.9.4-cp314-cp314-win_amd64.whl (273.7 kB view details)

Uploaded Aug 6, 2026 CPython 3.14Windows x86-64

pymseed-0.9.4-cp314-cp314-win32.whl (257.9 kB view details)

Uploaded Aug 6, 2026 CPython 3.14Windows x86

pymseed-0.9.4-cp314-cp314-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.14musllinux: musl 1.2+ x86-64

pymseed-0.9.4-cp314-cp314-musllinux_1_2_aarch64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.14musllinux: musl 1.2+ ARM64

pymseed-0.9.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.14manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymseed-0.9.4-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.14manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pymseed-0.9.4-cp314-cp314-macosx_11_0_arm64.whl (312.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.14macOS 11.0+ ARM64

pymseed-0.9.4-cp314-cp314-macosx_10_15_x86_64.whl (332.1 kB view details)

Uploaded Aug 6, 2026 CPython 3.14macOS 10.15+ x86-64

pymseed-0.9.4-cp313-cp313-win_arm64.whl (244.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.13Windows ARM64

pymseed-0.9.4-cp313-cp313-win_amd64.whl (269.0 kB view details)

Uploaded Aug 6, 2026 CPython 3.13Windows x86-64

pymseed-0.9.4-cp313-cp313-win32.whl (254.5 kB view details)

Uploaded Aug 6, 2026 CPython 3.13Windows x86

pymseed-0.9.4-cp313-cp313-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.13musllinux: musl 1.2+ x86-64

pymseed-0.9.4-cp313-cp313-musllinux_1_2_aarch64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.13musllinux: musl 1.2+ ARM64

pymseed-0.9.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymseed-0.9.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.13manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pymseed-0.9.4-cp313-cp313-macosx_11_0_arm64.whl (312.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.13macOS 11.0+ ARM64

pymseed-0.9.4-cp313-cp313-macosx_10_13_x86_64.whl (331.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.13macOS 10.13+ x86-64

pymseed-0.9.4-cp312-cp312-win_arm64.whl (244.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.12Windows ARM64

pymseed-0.9.4-cp312-cp312-win_amd64.whl (269.0 kB view details)

Uploaded Aug 6, 2026 CPython 3.12Windows x86-64

pymseed-0.9.4-cp312-cp312-win32.whl (254.5 kB view details)

Uploaded Aug 6, 2026 CPython 3.12Windows x86

pymseed-0.9.4-cp312-cp312-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.12musllinux: musl 1.2+ x86-64

pymseed-0.9.4-cp312-cp312-musllinux_1_2_aarch64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.12musllinux: musl 1.2+ ARM64

pymseed-0.9.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymseed-0.9.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.12manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pymseed-0.9.4-cp312-cp312-macosx_11_0_arm64.whl (312.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.12macOS 11.0+ ARM64

pymseed-0.9.4-cp312-cp312-macosx_10_13_x86_64.whl (331.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.12macOS 10.13+ x86-64

pymseed-0.9.4-cp311-cp311-win_arm64.whl (244.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.11Windows ARM64

pymseed-0.9.4-cp311-cp311-win_amd64.whl (268.9 kB view details)

Uploaded Aug 6, 2026 CPython 3.11Windows x86-64

pymseed-0.9.4-cp311-cp311-win32.whl (254.6 kB view details)

Uploaded Aug 6, 2026 CPython 3.11Windows x86

pymseed-0.9.4-cp311-cp311-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.11musllinux: musl 1.2+ x86-64

pymseed-0.9.4-cp311-cp311-musllinux_1_2_aarch64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.11musllinux: musl 1.2+ ARM64

pymseed-0.9.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymseed-0.9.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.11manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pymseed-0.9.4-cp311-cp311-macosx_11_0_arm64.whl (312.6 kB view details)

Uploaded Aug 6, 2026 CPython 3.11macOS 11.0+ ARM64

pymseed-0.9.4-cp311-cp311-macosx_10_9_x86_64.whl (331.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.11macOS 10.9+ x86-64

pymseed-0.9.4-cp310-cp310-win_amd64.whl (268.9 kB view details)

Uploaded Aug 6, 2026 CPython 3.10Windows x86-64

pymseed-0.9.4-cp310-cp310-win32.whl (254.6 kB view details)

Uploaded Aug 6, 2026 CPython 3.10Windows x86

pymseed-0.9.4-cp310-cp310-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.10musllinux: musl 1.2+ x86-64

pymseed-0.9.4-cp310-cp310-musllinux_1_2_aarch64.whl (1.1 MB view details)

Uploaded Aug 6, 2026 CPython 3.10musllinux: musl 1.2+ ARM64

pymseed-0.9.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymseed-0.9.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Aug 6, 2026 CPython 3.10manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pymseed-0.9.4-cp310-cp310-macosx_11_0_arm64.whl (312.6 kB view details)

Uploaded Aug 6, 2026 CPython 3.10macOS 11.0+ ARM64

pymseed-0.9.4-cp310-cp310-macosx_10_9_x86_64.whl (331.3 kB view details)

Uploaded Aug 6, 2026 CPython 3.10macOS 10.9+ x86-64

File details

Details for the file pymseed-0.9.4.tar.gz.

File metadata

Download URL: pymseed-0.9.4.tar.gz
Upload date: Aug 6, 2026
Size: 1.8 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for pymseed-0.9.4.tar.gz
Algorithm	Hash digest
SHA256	`53df247d1ef43e901ba62f12679dda39ab4d7455f91bfbfc42f3ceef3bfcb208`
MD5	`540fb3d6e50d95dde46563ccbfaa4f3f`
BLAKE2b-256	`56f00bad85fd21d1363155c99d1430fb8f7a5e042079cf663f83d8de6163eb80`

Algorithm	Hash digest
SHA256	`027c895866f9adf58408134fba73202d393736991ae03097e51ecc7855c2a429`
MD5	`071518ae1307a4e31e81a83fb682b8a7`
BLAKE2b-256	`7f6f8b49f4048b082c71938fb5e540a37643ec78c38c0e0871cad56892dc1a80`

Algorithm	Hash digest
SHA256	`9543ce58d22728b1fe36758ff6df5b91916260b46362f72b46b59efdfa2feec4`
MD5	`d0b4c5af22f7f436812915607a10fdcd`
BLAKE2b-256	`04211eaef40b6c9a690f5b3ae827c4ad5fcc74ee062028f7c0a399dd31fd5fce`

Algorithm	Hash digest
SHA256	`bb2d789e375d733bfc82765ba2348af54663db92844865457fc58574809e8607`
MD5	`57bf3027d8b78459ba6f4113465cb67f`
BLAKE2b-256	`20ae99da45b545d158e211da692a6ee2f2fb3755271edab84ca4d9e2995fb615`

Algorithm	Hash digest
SHA256	`d83599ddc890c0397bda5b92d13e338cf4ddd4455d4961984fa4b07c60a164fa`
MD5	`ce1aa708ce8e99ba3ba73303c26a88be`
BLAKE2b-256	`c0314d29a692a54bb839c54a74a8025c6df2aa387f26114835c75dc05cde5e62`

Algorithm	Hash digest
SHA256	`6364e96a35622e7428ae0398bc6eeee47ee485359186b078a074c427ca26ca26`
MD5	`80272f003e5fe6d2756fb4cc3d38ffec`
BLAKE2b-256	`b0acb7fcd853245b7aa304a14e2e401e8cadb319b0fd85fe7eb04ce4263c642e`

Algorithm	Hash digest
SHA256	`ba5b9357c66c87777cb8f2cd10177d98753a640638028cbcc66511fad2857057`
MD5	`215d99b9cb1649f5dbea9e40f4801f63`
BLAKE2b-256	`757666bed86d7143793a03a0dc22aa8e76deb56e5c504282bf733c9c4f9ca934`

Algorithm	Hash digest
SHA256	`41d45399d730274b73d9871c30282801d40deee3e7276190d5cb3e10a963a29c`
MD5	`68e23eee5975b5bb9a15ece6b2492b78`
BLAKE2b-256	`23ce27531318bd92ca8dd21d458e6d12a7881ad2416d2176c5abf60a8c9afd22`

Algorithm	Hash digest
SHA256	`d768228ee1624b58c7d572111406d2f16ad08985df53446b0e1dffa472f4ff28`
MD5	`38dc0e7eb41c5c26c7b89f59cf46ee87`
BLAKE2b-256	`fc04312d80376400f0063b7e745deddc5098219a229a726766cf2e9e84315249`

Algorithm	Hash digest
SHA256	`8396600c9d3ddaf87e6b092a6aa4e69e9cdd0e239c83573225bfa18ff5299eb4`
MD5	`87fc361554817568a4f67fef4262b88d`
BLAKE2b-256	`22c8722e598385951da89110a0501bd39f6a66e1fb94af6c8a8eceb798641bf4`

Algorithm	Hash digest
SHA256	`4135fc15c404c8962245bcd94404f53e953ec2d4d18dfceff11429c3d9cb93a4`
MD5	`63bab347474db39b3db901eed96686ab`
BLAKE2b-256	`729878aa2c326e12cfb4e2f525a0cfb3f5b367d447f99927be3fea5547486ff6`

Algorithm	Hash digest
SHA256	`1d9d298f9d671172d12ccb388b63c90c294adaf9baa7265435cc1c88cf07e88a`
MD5	`d9e6cb846ea724048b36c5ebc42d5988`
BLAKE2b-256	`52644a62597203934d83a28bbf34b20c5c28d27d57367690e2ca1100815d2511`

Algorithm	Hash digest
SHA256	`c0f1d3c1a7b63976ac613fa82e9914c8620e05565189b9a83ab4cba3a690793e`
MD5	`d59ca9f2b700b4ee20b74ed30aa932ad`
BLAKE2b-256	`478af1fa4ee6f229c7fd82d8e191746d7aca2673d04c9500fb1125e460cbd5df`

Algorithm	Hash digest
SHA256	`fcbafe53c7f9a28aca8a56943c3103ffba13f060f10f775ebaaff0330d80eccd`
MD5	`d687a8f6bddeea9cb49139430317ae7a`
BLAKE2b-256	`ded0de0b9b2c1d1bf3675007ac10877a1359655acf0e4c84a9ea4f548fb9b5e7`

Algorithm	Hash digest
SHA256	`7a631803786b56ca75e553185b67bd42dbd787dd05e9dfd27422d25752590472`
MD5	`46957fe3aba55b4a565f3ee17506cd4c`
BLAKE2b-256	`56e3ca47f05edd9a9d3fe33cc1dbf95fca109e8f95777fa8fac868de53d95530`

Algorithm	Hash digest
SHA256	`e4d2fa58bbdd3be5d14e9ff2b58f04325065ba0baaef0ffd06e216f146019545`
MD5	`efed853c969d3c0d19e99b6947e4f8f3`
BLAKE2b-256	`fca0b1d3eaae3d352303ce34be8fce1443b786a4bcec7abfccb8a4100dde0964`

Algorithm	Hash digest
SHA256	`142af9b05286104aa0e1944e17805e72cd36c8b60f7822205abb9bb65bfbe195`
MD5	`be8c5b1f0d9dd4a733d2fa1d7026807b`
BLAKE2b-256	`c585990cd4a4cea6ca580c179b4138fa4de381f3694a4a19869dc48086c0570f`

Algorithm	Hash digest
SHA256	`a28c33f12a9c64fd376388626f18b846d03802c67b3553bb2890399cc6e79316`
MD5	`b9a288dc9d30f9280ae1c39dbc833546`
BLAKE2b-256	`3505378ede34dec91b0230b3de169415e4fdcd0cf33e125bb3d22dc8e4dca6d9`

Algorithm	Hash digest
SHA256	`5a6d1070d952a7abcbcda453f5ee46cf422348897447c8f45910cfd7bd071477`
MD5	`cb7612161ea5822ca85cfb4868c4e0be`
BLAKE2b-256	`a4cea12333034e67843b59eb628e1ed337689bcd131d5550e99f102a1c970b2e`

Algorithm	Hash digest
SHA256	`090a221844b31ee683c54a03afc42f3e5199ed9dca2dbec4e664dbd7cb387307`
MD5	`fea59552ef2ff3ea45414a4a9856f230`
BLAKE2b-256	`5666ecb109e4a2f5ae788bf7e2544d323295e40ff4b461357da9dde2cb21cc0b`

Algorithm	Hash digest
SHA256	`3f6f8182977b137386ac35b9c910ab2bc4e83b179edeb3ebfd8d4d32a707d455`
MD5	`af3956ff7895af8ac4f70fa81735a2e4`
BLAKE2b-256	`3082d97aea48d44717409c3eaf0f56cd5d3b89f58adde1d724c2dcd08c0f47db`

pymseed 0.9.4

pymseed - a Python package to read and write miniSEED formatted data

Installation

Example usage

Converting between Source IDs and NSLC codes

Threaded usage

Package design rationale

License

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License expression

Requires

Provides Extra

Tags

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Algorithm	Hash digest
SHA256	`5e3ba4af4481eb2c3c59740d59b92e04955c08ba29cbafadb2e5c3aa945b655e`
MD5	`d24d1ec07911ac871bd0eda62101a626`
BLAKE2b-256	`e1f617ed51f401c1923dee881937b929504e44152a5966fdc678ea4b50fbcffb`

Algorithm	Hash digest
SHA256	`f8828319735c3a0c4ac4c9d7c8d56384435f8c15e1d4f610c87ef948a0d2fd0e`
MD5	`071c19782a5c45fc975ca40acd1fe07d`
BLAKE2b-256	`7929c95fede2fc480fdbb4c7d28faddc79696df79e4bb5f61fe8518ae1d25c59`

Algorithm	Hash digest
SHA256	`385366295b4e6feb73dd0dd2abe95318ba623ff589cb97c74573da752deaab31`
MD5	`a4dfc668183babff3de383095f716f65`
BLAKE2b-256	`8b3b06344f9cbc053841f58f3c1707ce1e3b083c8aebee1c844164abd6b44876`

Algorithm	Hash digest
SHA256	`f4e8644e865b126d704c5184a0735c21b5b13d9aed4ed9e12d0c3bd97fde78cb`
MD5	`1d76f2faa6507b96a62fa81b96d20417`
BLAKE2b-256	`dc97693ed4c39880949a6f7670a3f82ca6bde7e3f33ec40512df2964a66f0c42`

Algorithm	Hash digest
SHA256	`db73484b2781cc42e430b3762c6f08047c1c8729ae60587cd0a484f24fec50a9`
MD5	`499708233ba47f2d3bca28a64c6e01d4`
BLAKE2b-256	`e5858892c0a2fde58003cccfc5afbc90b96e1f90e0a4c7cf93a3ffda6d2e4888`

Algorithm	Hash digest
SHA256	`5567d7efd7bc14b3bf97ca8e456cd2ac9cf46d445bf28bb29f3efa7b9994f9eb`
MD5	`2616ed997013d7d7347e5f0a02e56938`
BLAKE2b-256	`3add5f364996052ad933ce571a762e2a0d0df14b76c3ff45436cecc216c20740`

Algorithm	Hash digest
SHA256	`714f86d17578f06a5184d93c2ecd09feaf6d637ef62a929c9ec44e5349441329`
MD5	`1069a9bcf7a65901db1da2d0a7f474d4`
BLAKE2b-256	`26a2d5fb712998399e97bb6b8a6c158eab18ef3c13f5d7f7bf31eb7dcd4c9765`

Algorithm	Hash digest
SHA256	`1f12534f7a3fb0fce5e441c9eec4f6b0a7789733d322adbf3207c4f712dcab33`
MD5	`b0fbc3b18be18aa0f12a2defdd0a18ff`
BLAKE2b-256	`22a1523ba8c53081e463ef55d5d43f4b5ddc543152d04533ab8f6aa7005764fa`

Algorithm	Hash digest
SHA256	`4bda8e1f2b3c5d381e87ca657a54057024a994c7973b604093793ea5f6b432f0`
MD5	`163f47ddc1b1f78c5b03629a66734d08`
BLAKE2b-256	`78ea4512257bdcad290cf34202eaf984be7174d90adcf37c10313ca0a1f189b4`

Algorithm	Hash digest
SHA256	`d9965ce578224af546026390969fb9f06406a2431795edaafbf5c560b6fd1ba5`
MD5	`8479ce84c871130d5f97c0507a2a017c`
BLAKE2b-256	`4fc9ae39ad9b8a80af3b8893d0dc8bdbd068220f39c0c81c238004b5e1e536dd`