Skip to main content

openDAQ

SDK that bridges the gap between data acquisition devices, in an era where incompatibility is the norm.

openDAQ is a software development kit that allows for easy integration of data acquisition devices into its ecosystem. It provides a simple generic API that allows users to connect to Data Acquisition (DAQ) devices that are compliant with openDAQ and any of its supported open standards. With the SDK, users can configure properties of devices and read their measurement data. It also contains a framework for developing custom signal processing blocks that process and analyse signal data. In a world where DAQ devices do not readily communicate, openDAQ provides a common language for all to speak while also embracing existing standards such as MQTT and XCP via Ethernet.

Installation

The package is available as binary wheels for Python 3.8-3.14. It has been built and tested for:

  • 64-bit Windows
  • x86_64 Linux (built on manylinux_2_28, requires GLIBC >= 2.28)

On supported systems you can install it with:

$ pip install opendaq

Quick-start

You can start the application by creating a new instance:

import opendaq

# Create a fresh openDAQ(TM) instance that we will use
# for all the interactions with the openDAQ(TM) SDK
instance = opendaq.Instance()

In order to list all the available devices, run:

for device_info in instance.available_devices:
    print("Name:", device_info.name, "Connection string:", device_info.connection_string)

When using just a reference module without being connected to a physical device, the expected output will be

Name: Device 0 Connection string: daqref://device0
Name: Device 1 Connection string: daqref://device1

More examples can be found under https://docs.opendaq.com/manual/.

GUI

Python openDAQ(TM) package comes with a reference Tk GUI implementation, allowing you to quickly connect to any openDAQ(TM) device and inspect or configure it.

To run the GUI, invoke the package from the command line using -m flag:

$ python -m opendaq

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

opendaq-3.40.3-cp314-cp314-win_amd64.whl (23.7 MB view details)

Uploaded CPython 3.14Windows x86-64

opendaq-3.40.3-cp314-cp314-manylinux_2_28_x86_64.whl (46.4 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

opendaq-3.40.3-cp314-cp314-manylinux_2_28_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ ARM64

opendaq-3.40.3-cp314-cp314-macosx_11_0_arm64.whl (44.0 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

opendaq-3.40.3-cp314-cp314-macosx_10_15_x86_64.whl (45.2 MB view details)

Uploaded CPython 3.14macOS 10.15+ x86-64

opendaq-3.40.3-cp313-cp313-win_amd64.whl (23.7 MB view details)

Uploaded CPython 3.13Windows x86-64

opendaq-3.40.3-cp313-cp313-manylinux_2_28_x86_64.whl (46.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

opendaq-3.40.3-cp313-cp313-manylinux_2_28_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ ARM64

opendaq-3.40.3-cp313-cp313-macosx_11_0_arm64.whl (44.0 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

opendaq-3.40.3-cp313-cp313-macosx_10_15_x86_64.whl (45.2 MB view details)

Uploaded CPython 3.13macOS 10.15+ x86-64

opendaq-3.40.3-cp312-cp312-win_amd64.whl (23.7 MB view details)

Uploaded CPython 3.12Windows x86-64

opendaq-3.40.3-cp312-cp312-manylinux_2_28_x86_64.whl (46.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

opendaq-3.40.3-cp312-cp312-manylinux_2_28_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ ARM64

opendaq-3.40.3-cp312-cp312-macosx_11_0_arm64.whl (44.0 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

opendaq-3.40.3-cp312-cp312-macosx_10_15_x86_64.whl (45.2 MB view details)

Uploaded CPython 3.12macOS 10.15+ x86-64

opendaq-3.40.3-cp311-cp311-win_amd64.whl (23.7 MB view details)

Uploaded CPython 3.11Windows x86-64

opendaq-3.40.3-cp311-cp311-manylinux_2_28_x86_64.whl (46.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

opendaq-3.40.3-cp311-cp311-manylinux_2_28_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

opendaq-3.40.3-cp311-cp311-macosx_11_0_arm64.whl (44.0 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

opendaq-3.40.3-cp311-cp311-macosx_10_15_x86_64.whl (45.2 MB view details)

Uploaded CPython 3.11macOS 10.15+ x86-64

opendaq-3.40.3-cp310-cp310-win_amd64.whl (23.7 MB view details)

Uploaded CPython 3.10Windows x86-64

opendaq-3.40.3-cp310-cp310-manylinux_2_28_x86_64.whl (46.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

opendaq-3.40.3-cp310-cp310-manylinux_2_28_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

opendaq-3.40.3-cp310-cp310-macosx_11_0_arm64.whl (44.0 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

opendaq-3.40.3-cp310-cp310-macosx_10_15_x86_64.whl (45.2 MB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

opendaq-3.40.3-cp39-cp39-win_amd64.whl (23.9 MB view details)

Uploaded CPython 3.9Windows x86-64

opendaq-3.40.3-cp39-cp39-manylinux_2_28_x86_64.whl (46.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

opendaq-3.40.3-cp39-cp39-manylinux_2_28_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ ARM64

opendaq-3.40.3-cp39-cp39-macosx_11_0_arm64.whl (44.0 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

opendaq-3.40.3-cp39-cp39-macosx_10_15_x86_64.whl (45.2 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

File details

Details for the file opendaq-3.40.3-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: opendaq-3.40.3-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 23.7 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for opendaq-3.40.3-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 a21839ce53a2ecec51a50de34300c6b3ceb1a06be08afb176ea0610019e5bde5
MD5 d06fb75f15f39eadaeed4e0ab403ee55
BLAKE2b-256 3666c3b0a4aa876342b2363aec6474ed3984f9d70398be23b0bf7d920528f80e

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 93669dcfe049a55d91b5909f614711c36414d1d4678bbbf13499b155f14123e3
MD5 431634e12fb031d5dcfaf8d775c2486a
BLAKE2b-256 2615747f13a1947a28bfb26c08cd28b110e44459e11f6ce98ec5fa6b37f206aa

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp314-cp314-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp314-cp314-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 b3bcad7793201873d5f918b7695de750d76d9b62b98eb46a0e7c5db9f2ce58ff
MD5 fb5d5fe611711712c7cb7fa19faedd94
BLAKE2b-256 094b58f0ebb58eaa691504844cd8aa6c5bf4f4bc051acbb247a3425de436044c

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 53ab9e0706ded47d33b7ac5f8bfdb463a94a3d2a418d57de4a56764b2f834fd7
MD5 1341c5e54018afe02d8d92683aed26de
BLAKE2b-256 871f896a4ff08da62b49cb87a8bce2cdc5bd2c6650321225f62130811b36988a

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp314-cp314-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp314-cp314-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 c59441f454708ee6678fb567cb64dce6033e230662d85763ccbd8487bf89dcca
MD5 df834af5f5e36baeb7dc591f126c9dda
BLAKE2b-256 9e488d594d05d53934217821849c7411cae72331986141ebd90d70647bd22ead

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: opendaq-3.40.3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 23.7 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for opendaq-3.40.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 72dff6ce065fa6f7df8204f08de3b30eded9bc4f4aa856f4b895afeca36d8a7f
MD5 ce4e7efa33abebdf141b9f582607d7af
BLAKE2b-256 13dd54b4560e02946594ffd7e076acec2f5168a2b0bd24b0ee9485b811c1c799

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d16513f7c278e17e9dd2147774e69fcb41437d4e518d37377ff2c71970f59bc2
MD5 bda6a7c7386746fae74ca3c3778d7799
BLAKE2b-256 a27d7464af2919c97e7cfb8f047a475a16aeefba109de0f9b99b46c473620ac3

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp313-cp313-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp313-cp313-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 4d016687e6d5cbdcb21e3df305d0a588e6c4d5cac4a69d56ace4e1690da6d74a
MD5 f2bdf11eae3501924d8adf58120a8222
BLAKE2b-256 2d4f4d62a070320be6d7b12f8d876f1d7a55b7f16e70eb17f50a2185a1cd8a9a

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 851f67dd73207149c288a4592a6cc46754f2839f708f32437d9db86ba4b822db
MD5 d2f25a0f5ef3c12f1cb9e482171cd317
BLAKE2b-256 b95526ec3e7827f4e2e0efb5e1385b84171b58ea462e796904bd5c2c5a503b69

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp313-cp313-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp313-cp313-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 b4a242d92ce7499ad75d325e63e2b376dcb87b50c91b318d61753fe33ed64cd7
MD5 2301ebf75f959729c3614dc4edea44c1
BLAKE2b-256 b7880fb96615d5c277615d57017da7122388d2684da8bd7c08172b4df1dc9a77

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: opendaq-3.40.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 23.7 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for opendaq-3.40.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 32941cc6088df27a5ada9f80eb49bfee580519719332aab5f8f9e86455951709
MD5 ca7f3d4f0edc9844eaa718927e34494b
BLAKE2b-256 a7f537b304b058968bcad15f8cc064d85bbbcccdcf98adc194d4ba6e022cdcc6

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c64078c6867786f46dbe6dd90abf175202cb9a7ea5bb7d83e1a825564b67e891
MD5 88cb151c3b7b54b3550a2bea7a7045fc
BLAKE2b-256 ceb27edb2e05e19501d34d58be4cddd735c585929ecf28e0cec13146c8fb300e

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a859cc411787a9159cbc0448aa187194b789fe012e46606f9e94752285cbffee
MD5 535749d11529841d3cf42c9ebcfeeda4
BLAKE2b-256 b88261ada1015d8213592d61b4619daa6c3a5b411f6600254a0d8a59111a9ca9

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2ead824830b924309b6af20a6758f5f676036f21577a53dbf6c4408fac9cb9b4
MD5 11e70c8899e490f05294f151ba8210dd
BLAKE2b-256 74bd5375de29dee124fe497b473af32c5963ad7b4f2cb9519127aeea92266900

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp312-cp312-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp312-cp312-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 0c4a9ee83dbf3b0b4bd4cd0aa5ea5cef3b2f4ef288e7deb1b8e0c0105c1a8d0e
MD5 292d325f1b65cd14e0b7425ce550d984
BLAKE2b-256 75cdc2a9ff73dc683a73a341d25c7bd47c53c284c9e6ee28aa31709880d2cef2

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: opendaq-3.40.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 23.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for opendaq-3.40.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 02bbd41f9e73667e38a7990f225e66e875598e6e1f43ee5ae2a8be14c4973060
MD5 487989df5987dcc26e5690ee9e87e3fc
BLAKE2b-256 4ec8d5b513e5844c224c8b6432a8154d82330ef0f964a1e00be8d45e0eb590dc

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a3077ffbd6eee86d68b99e520c48a0b82d40e0b9a1ef15df7c3a726d5d4614e9
MD5 4bbf5ffe98e4eb08cf2080e31dd737c3
BLAKE2b-256 ab4bbc0e0477016e7c668f895dcbfab118399f6611cde6cc105458ddacb2fd78

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a43ad04eca324ec4fb3af7ad6db182e8846f850b30e4f2d7e782804b98e80f11
MD5 82452059bf16b57225fb9acca2320abd
BLAKE2b-256 7c6babbcb243c9cc0e15e3a9bc4781f65685afa8017e6c7561cca49f41bb5e03

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f6e1f87d57043c820a3475780c92326077ec1c04cb8b6b6da5f3152d956f8b5c
MD5 21cd756a1aa7f6c4e5f4641082cc902d
BLAKE2b-256 6ffcbb9959be23fa82f751d3918db0d46367c4176ba5faf6f439f7755ff4e4a0

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 7d5ecf1f311377e7e1dfa591e067f5af33b192b16b3c17f1a1c229b3b90e2c0f
MD5 7cbdc42ab121c6752f3507655aa985e1
BLAKE2b-256 1f846b0ff1169a16ae86bdcb4aae8eae3ab2709f54453aab375a6a1c923a2044

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: opendaq-3.40.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 23.7 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for opendaq-3.40.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 451ef4da2f74cdc0c7102f5ab632d840f7e7853455b3adae85ed8c2510d9d039
MD5 521a6a3d4d7ab114d89b2d376c4c3468
BLAKE2b-256 bae3934915ba200c583852d64ed064ee70da6e77c52b15b3f0c97cb337022893

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e0c0c6a0d55119cf714ff25994e68551e293180022c338e65f896eb22bf1c25a
MD5 8a652a14cc0ca92510ada62ae7d1c717
BLAKE2b-256 869f50beffed9e4a0c98249b3d07d98f36c2867ecf920d48cb98414578d14e5e

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 60bc72dce1c677d342c9f5213859722da60316b2847f26b633eff5788edda5f9
MD5 f3b075b855d482556745f2c2a0764cc2
BLAKE2b-256 4012f633a3a4fed35da63b0042774c1532fe765a9434b7101a2f708d8707c969

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e268b9eaa17114c6b04ee47e5016afe3c6b5029270e759a04227c30e0d749522
MD5 c1c344d5ca9c942376cd21651d1bca56
BLAKE2b-256 7ea4c4b5331f8f08b5818dd3d1608b1f0d950233eb32166c9357bcedb25e48ee

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d21ee9c494872f61a32ad0736aa4060894bcde3a4b6b0fb2cea375047f6e401f
MD5 3064df87cb1be9d5584a25905d8b6569
BLAKE2b-256 dbfba0960c36eedddc41dbcc4691a5a250a8db15a9140e022e0cda6e95b995c2

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: opendaq-3.40.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 23.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for opendaq-3.40.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a4b4e6b136b760c60216d6270367f9a8d8e264fa7c9ad48eff9de23223caa09d
MD5 b7814877acb845c5802b9933294c3dde
BLAKE2b-256 1483b361db891504ebce5f33d191e0889f2529f6b0f6f6b48e2c3fc741c3e049

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c75d624adc4933eb58a4b1917b3084d787e0f2b7d0ab526c82d7629dff814de1
MD5 731529f99067b5d18bddd9d534fef753
BLAKE2b-256 f0a81e92c01d547485620ba6b64f16feb785c15c66697b21848be198db77c539

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp39-cp39-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp39-cp39-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 caa15d1a6435b058e09dde0610df9919887a9bb9ec43d0d99e6dc811d7799d0b
MD5 b280bd009a511ae101d7b00337ec0321
BLAKE2b-256 a72261a6b700a44d49fbccb2e067fba378f4f2018c6b71c84e56ec6e1a4ed2b0

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ca0b299564ae824e01555eb758b5b3046fde1a590bf92e8f664f93c44dee5e48
MD5 122ffc9e6a550598f6352be7724756be
BLAKE2b-256 46c91c5594d53c248f2e1ce16bf5e0c8614a5a4203dca8cd29af9949bc0944a3

See more details on using hashes here.

File details

Details for the file opendaq-3.40.3-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for opendaq-3.40.3-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 786ea7798006c09c8dfcb7a4e438f3dc9b2c3919a2dad3d5a0ad4ab9b462c5cd
MD5 63c0f3e153496cd252089ab75ddac3e5
BLAKE2b-256 051a2a5c5db6a20ba55dd7876cd43775e4ec4d35817b0ae6a4753511c26ce0dc

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

3.40.3 This release

30 files

3.40.0

24 files

3.30.3

28 files

3.30.0

28 files

3.20.4

24 files

3.20.2

24 files

3.20.1

24 files

3.20.0

24 files

3.10.4

12 files

3.10.3

12 files

3.10.0

12 files

3.0.0

10 files

2.0.0

10 files

0.9.8

2 files

0.3.2

1 file

0.3.1

1 file

0.2.0

1 file

0.1.1

1 file

0.1.0

2 files

Supported by

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