Skip to main content
 

build status pypi DOI:10.1109/SII59315.2025.10871000
ps-3.14 ps-3.15.8 ps-5.5 ps-5.17.3

A C++ interface for controlling and receiving data from a UR robot using the Real-Time Data Exchange (RTDE) interface of the robot. The interface can also be used with python, through the provided python bindings.

[!tip] Announcements

  • PolyScopeX is now supported, when using the External Control UR Cap for PolyScopeX :rocket:
  • Control the robot joint torques directly using directTorque() and get the robot Mass matrix, Jacobian, Coriolis and centrifugal forces. (From PolyScope 5.26)

Key Features

  • Fast and lightweight interface for programming UR robots.
  • Uses the Real-Time Data Exchange (RTDE) of the robot.
  • Execute with real-time priority on operating systems with a real-time kernel, see the Real-time Setup Guide
  • Available on multiple platforms (Linux, Windows, macOS)
  • Can be used from C++ and Python.
  • Relies only on STL datatypes and can be used with various robot frameworks.
  • Switchable register range (FieldBus / PLC [0..23] or external clients range [24..47])
  • Use it with the UR's ExternalControl UR Cap, download it here see how to install it on the robot here. In order to setup ur_rtde for using it see here.
  • Easy to install and setup.

Documentation

Documentation with installation and build instructions, examples and API resides at https://sdurobotics.gitlab.io/ur_rtde/

How to Cite

If you use ur_rtde in your research, please cite this paper:

@inproceedings{10871000,
  author={Lindvig, Anders Prier and Iturrate, Iñigo and Kindler, Uwe and Sloth, Christoffer},
  booktitle={2025 IEEE/SICE International Symposium on System Integration (SII)},
  title={ur_rtde: An Interface for Controlling Universal Robots (UR) using the Real-Time Data Exchange(RTDE)}, year={2025}, pages={1118-1123}, keywords={Protocols;Linux;C++ languages;System integration;Writing;Manipulators;Real-time systems;Libraries;Timing;MATLAB},
  doi={10.1109/SII59315.2025.10871000}}

Quick Install

From PPA:

If you are on Ubuntu, you can install ur_rtde with:

sudo add-apt-repository ppa:sdurobotics/ur-rtde
sudo apt-get update
sudo apt install librtde librtde-dev

From PyPi:

If you only want to the use the Python interface, you can install ur_rtde through pip:

pip3 install ur_rtde

:warning: Notice! Make sure your pip version >=19.3, otherwise the install might fail.

Prebuilt python wheels support matrix:

macOS Intel macOS Apple Silicon Windows 64bit Windows 32bit Windows Arm64 manylinux x86_64 manylinux i686 manylinux aarch64 manylinux ppc64le manylinux s390x
CPython 3.6 :x: :x: :x: :x:
CPython 3.7 :x: :x: :x:
CPython 3.8 :x: :x: :x:
CPython 3.9 :x: :x: ✅¹
CPython 3.10 :x: :x: ✅¹
CPython 3.11 :x: :x: ✅¹
CPython 3.12 :x: :x: ✅¹
PyPy 3.7 v7.3 :x: :x: :x: :x: :x:
PyPy 3.8 v7.3 :x: :x: :x: :x: :x:
PyPy 3.9 v7.3 :x: :x: :x: :x: :x:

¹ Windows arm64 support is experimental.

Dependencies

Compatible Robots

  • All CB-Series from CB3/CB3.1 software 3.3
  • All e-Series

Compatible Operating Systems

Currently tested on:

  • Ubuntu 20.04 (Focal Fossa)
  • Ubuntu 22.04 (Jammy Jellyfish)
  • Ubuntu 24.04 (Noble Numbat)
  • macOS 15 (Sequoia)
  • Windows 10 Pro x64

Contact

If you have any questions or suggestions to the interface, feel free to contact Anders Prier Lindvig anpl@mmmi.sdu.dk or create an issue here.

Download files

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

Source Distribution

ur_rtde-1.6.5.tar.gz (3.4 MB view details)

Uploaded Source

Built Distributions

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

ur_rtde-1.6.5-pp310-pypy310_pp73-win_amd64.whl (2.6 MB view details)

Uploaded PyPyWindows x86-64

ur_rtde-1.6.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

ur_rtde-1.6.5-pp39-pypy39_pp73-win_amd64.whl (2.6 MB view details)

Uploaded PyPyWindows x86-64

ur_rtde-1.6.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

ur_rtde-1.6.5-pp38-pypy38_pp73-win_amd64.whl (2.6 MB view details)

Uploaded PyPyWindows x86-64

ur_rtde-1.6.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

ur_rtde-1.6.5-pp37-pypy37_pp73-win_amd64.whl (2.6 MB view details)

Uploaded PyPyWindows x86-64

ur_rtde-1.6.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

ur_rtde-1.6.5-cp312-cp312-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.12Windows x86-64

ur_rtde-1.6.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686

ur_rtde-1.6.5-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11Windows x86-64

ur_rtde-1.6.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

ur_rtde-1.6.5-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10Windows x86-64

ur_rtde-1.6.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

ur_rtde-1.6.5-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9Windows x86-64

ur_rtde-1.6.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

ur_rtde-1.6.5-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8Windows x86-64

ur_rtde-1.6.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

ur_rtde-1.6.5-cp37-cp37m-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

ur_rtde-1.6.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

ur_rtde-1.6.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (5.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

File details

Details for the file ur_rtde-1.6.5.tar.gz.

File metadata

  • Download URL: ur_rtde-1.6.5.tar.gz
  • Upload date:
  • Size: 3.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for ur_rtde-1.6.5.tar.gz
Algorithm Hash digest
SHA256 3d5b6c6bf73346b806d146f128537abd2afb1d769f4a9c8b3ef5a884fab0bcfa
MD5 f3638877458bd06389c35998130aa047
BLAKE2b-256 79115f3dc66a5ba608830ffa83bdaa8808562172b6332f8aaf9bdafeb22e2df2

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8086d8e38642caff499dd854b5decd3238b69c573f64e429db4402f35c5c277d
MD5 f74c64ddaddd715221fe76f16640fa13
BLAKE2b-256 abf8b2673a074850762c6c10354970f79dd27eff9e66e559b64f8b76ccb7e299

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a9085038f9112a749a9cff894657856f09620b63fcfbb233e3e6c93d8dcf6556
MD5 e91e9a080bbe3586f74ee371c545f0ce
BLAKE2b-256 e97078200c0b49307fa21a75ec2bf5f5b5cdc2c4c0f78c6b12bd9729135e5842

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2e44e77901de5439ca16edbeb5ce481dd0e54a8fa9787137517494985b6e2801
MD5 dd5cebe96c7841645ba1c9279c4d062e
BLAKE2b-256 87e181387530d5bf80bfafea8c70c68436e89953a94e7d816ab4fb240fb4508f

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 56c6276bd2a334be951c48187ba83c2ab6ac410197cc614d3a1032dc6e33edf7
MD5 706c63380d33b03be223b4811ef2537e
BLAKE2b-256 3aace0fc1d02728c83250047f8c2db9976b0f9ad4b3805630e85e0c43799ac3b

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e3ae84f044c574f49b89188ddf8d7e5d68b53d8f1a3155309c25bef191d3602d
MD5 c37ce1f966a5a4ddcae8e0b50d248959
BLAKE2b-256 85f43f3e0df329903bc428eb9a1d4ee6fc2e041e6d3af8476906e9427001d20d

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 553e9ff0b937da0672b269a74e54856210b26d22f46c6bfb0de8e41182462400
MD5 088ef9cbaf56c3daeb0837ac6e29e1b6
BLAKE2b-256 ea927069d1d4fcfe6f19a328d8529fe7c2a8efb4d3525e661c5a642dd915f263

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 298c4409ad1619a5e56d2f119b18e5024a28e2e9c078ea7d5935fc12ab520b9f
MD5 3a6bd6a791c6b67bf9541678e56233b0
BLAKE2b-256 c76db6ff8f1918876aa7b9afa13bae41ec9e769b4c15f8a8e05bb8567c85304c

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cb68e77ec14866c5fb9b4b61dbe832a3d62a331e2b47d4c76c8ed712289b4830
MD5 1c97a436fc48819191aac4a44bcf08e4
BLAKE2b-256 e374fb84247e1bc108f575ef7c52fb4ff1df4376fa76839879928c430ea2558b

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 afb442a7ae6679d7cf981159790e499c15894aeaa18e111882d0fbf03c8c3f44
MD5 bd0d7b01a1efc75061e51dca2dc21d4c
BLAKE2b-256 a85be49193d94323b25ec66cc950f806ec2667dca803e551deb2d2c652c89ef6

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 f8c1651369a9521ba267eb5340ef9b4e8b957b568c73fc0a67f97af531ef02a5
MD5 cb88990780992eb7e745c77a49eae7ce
BLAKE2b-256 0d513e9598925e6f1e7fe4088682667c6cfdeeca4a0ad6d33f1f2e1cde1c87bc

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 69be966dd8959f2f554b81cc735e1d603b9c2f17303043d91db6f3bc2531425a
MD5 67230f8d9df35b43266eeae4ab3bc60e
BLAKE2b-256 23afb467588d9380ec2b99a7b35ce3f9da227a5d59bfcaf7be677784a86e5011

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e9bf309280c585e38a6ea0f03a03492fc956c60cfdc15a94dad18e37567128d0
MD5 2e3d01f944dee13f64b99578c22a9be0
BLAKE2b-256 c2db19c58066bce4e9dab56334beb1281221e818f815550213ec4cb456704fe4

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: ur_rtde-1.6.5-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for ur_rtde-1.6.5-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 e2fb0b71b9c9a5969695db29bafb1e22f6aac529595cf5001b3114890b34d8ba
MD5 37a0c0a95211897e7276c703e3295135
BLAKE2b-256 61f6d55fb42416633d6a4319dc2088430b107b6d28f3dcd3b8a3041f15ca9b03

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f5aeddaba7b7ba99d9edb0e25c3a9ff8f7d5b5641aa4396a5380d884840b6870
MD5 33183d1ab2b6be743b9ed7a103455a39
BLAKE2b-256 6928d96a5ba6e759f010d61229d70fed508ef19fe89302d486b26c207c4086d6

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 0a9b39a82d731bf7b2cca91fd2218246c22331e4d060e287cc257352d24594a7
MD5 f8a553acf1fd299b3cac2a0f0889529e
BLAKE2b-256 3a6ad61e5e016d6637b5c425ead983573caff143d91a2342e4fdd45a30b12f58

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: ur_rtde-1.6.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for ur_rtde-1.6.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 aed228c12b8ddfadf2107ea5e8d25c1bdd8996b2d22cf586d67e128615512386
MD5 6fb07c18c7df41e823daecd44ee0068f
BLAKE2b-256 ebd6322f4a3c3a1fd738535c8354ce72ddced68c6613385efea8349c8864d25d

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6f9a25c98bf77be9fe7c559b2d0e56053dca2896ad4a56fd4ef7fe331aeb749f
MD5 e09e2af580f58a17d01cb33c6b3f2df2
BLAKE2b-256 3f3d122c3f415041e059bc3f28ae2d4424ddc39b9cabe43000fa04663401f322

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1d323cce37cb60e0e0440e9eae68df5397d2f1a3752268cab2ddced07fd8777f
MD5 1cbd198ccc8bb566407cdfea0c4c8c1c
BLAKE2b-256 b3f4ee6e92a3e755d8779d13ecd5bbee75038d8ae5e3be1bb1203100eaedeff0

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: ur_rtde-1.6.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for ur_rtde-1.6.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 deca2ac893976a44368ca44cc25b419aacd7735d3a67f6bc95bdf4c763f9e3c4
MD5 88ffa16f44189453cc6e34dc50036349
BLAKE2b-256 8a281de19b7513d42687576cb4c5f2888fe8d5e8a556315fdd6b4735f3e3ec8a

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 24c401be06afd8c14cbaaf5b35cae71d97ee0226f08d7bd1a7d33d94582c94f9
MD5 592d4f3903fad3ac65f2647b63c9adcf
BLAKE2b-256 2a7c5873de8a9a99c0a7eda4ebe43aa3b6e1e5d71266d010dbb8bdf003740329

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4df02fad1455d6462e8b26042c2fc0dfadddcfc993a83dda0c10cb69df8f9c36
MD5 f0078777d70272e03bb9d5846f40888f
BLAKE2b-256 b4a501e25f3ebee392282acedd84770865cbe0c7d6a540cd3178276363b96b7e

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ur_rtde-1.6.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for ur_rtde-1.6.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4b5ff3ffbc12fb714afbab5b8907cc2b6858d0e286ad2cb294d0d29565c27b36
MD5 05fad78df5b69798ac7fb64a16afb89e
BLAKE2b-256 c1d062053c6635f375a0906b9ba789243daf570469e7741fd6b3700eeefb803b

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8f2d2ab60480a76224901798c80b0176cea16977250377c3e26f980d0e4a3f57
MD5 2ac1f4b85ec47d88c21d2614aaa18642
BLAKE2b-256 9c764940fcc21fcf95ee5100dda791d7450aaa80356756ea43772ef5cc9c8c96

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c54209697ab9d81188fea3af00850cd39d56e008c7fe7c0cd6747fe0eb051a1b
MD5 4f0d01f335822dc6a4d7de8578f0dfc6
BLAKE2b-256 30e96a53ad7f23b57e8eb7f6def5ff859fd91736052b22e067a7a9e2d9bf4b14

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ur_rtde-1.6.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for ur_rtde-1.6.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3ea8f57af212b2e782d5a96588f93a7bbf871b5f26bcaa8e54ca04e9766af09e
MD5 04d26c6140cfb66aa86618379464b676
BLAKE2b-256 82817e978102250d25c4d8cc7b041cb9d9f69ac84bc3fddb50b05dbce39bffeb

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3bf9f0c226926f7441c23d5146c8bca0eb023a59013883cc3a4a9c78c378efad
MD5 df0b203a3ed990aa6a939ffef9f321d6
BLAKE2b-256 8ba796e1406d390832aa1157405f300091ad9c7906063b01adec3884d1086574

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8f9e236721fbc022857ae06d37555ee1f5e6cb5f08046f77853fff3b6e9f2ca3
MD5 b3116f55aa486db067b4efa63544febe
BLAKE2b-256 ef96d65aec3cf1dc4706a16f6bbabc27775249cf94fd424d880dad67e7bcae14

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: ur_rtde-1.6.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for ur_rtde-1.6.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f2270811ccee856e42c46b32629bbf10bb5e58d3a69c70f005d51a2b76fca518
MD5 14c497510652895350eaceea38022326
BLAKE2b-256 aa3aedf76583575ae6cd623ee81c3c915ed14accd080969b587fa6951ec9acb6

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 46b2b6a13f66ad64770271df476071122e754f136cc03a8b9eec9c278ca7c6d8
MD5 71c81fbd9db18889d411ad4b0a27f61c
BLAKE2b-256 29d3ae6c6ddc6919996a764d2312d89eb2d7c67f8a0a1009ff7b453a8e65147c

See more details on using hashes here.

File details

Details for the file ur_rtde-1.6.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ur_rtde-1.6.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 438563addbdba89c8560b168f782e9dcacf512abc72d179b51a9a107ad6213f4
MD5 ca19c7f95cd3083f9669dcb5005a6af7
BLAKE2b-256 57eb701ddb8c812175a34027f5fe544b5f20132ce0d5b5755fd7db5715aa33a0

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.6.5 This release

31 files

1.6.4

31 files

1.6.3

31 files

1.6.2

33 files

1.6.1

23 files

1.6.0

33 files

1.5.9

42 files

1.5.8

42 files

1.5.7

27 files

1.5.6

27 files

1.5.5

36 files

1.5.4

14 files

1.5.3

6 files

1.5.2

14 files

1.5.1

14 files

1.5.0

14 files

1.4.9

14 files

1.4.8

14 files

1.4.7

17 files

1.4.6

17 files

1.4.5

17 files

1.4.4

17 files

1.4.3

10 files

1.4.2

6 files

1.4.1

6 files

1.4.0

6 files

1.3.9

6 files

1.3.8

6 files

1.3.7

6 files

1.3.6

6 files

1.3.5

6 files

1.3.4

6 files

1.3.3

6 files

1.3.2

6 files

1.3.1

6 files

1.3.0

7 files

1.2.7

7 files

1.2.6

7 files

1.2.5

7 files

1.2.4

7 files

1.2.3

7 files

1.2.2

7 files

1.2.1

7 files

1.2.0

7 files

1.1.0

7 files

1.0.0

7 files

0.0.9

7 files

0.0.8

7 files

0.0.7

7 files

0.0.6

7 files

0.0.5

7 files

0.0.4

7 files

0.0.3

7 files

0.0.2

7 files

0.0.1

7 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