Skip to main content

OSQP: The Operator Splitting QP Solver

Project description

PyPI version Python 3.8‒3.13 Build

OSQP Python

Python wrapper for OSQP: The Operator Splitting QP solver.

The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form

$$\begin{array}{ll} \mbox{minimize} & \frac{1}{2} x^T P x + q^T x \ \mbox{subject to} & l \le A x \le u \end{array} $$

where $( x \in \mathbf{R}^n )$ is the optimization variable and $( P \in \mathbf{S}^{n}_{+} )$ is a positive semidefinite matrix.

Installation

To install osqp for python, make sure that you're using a recent version of pip (pip install --upgrade pip) and then use pip install osqp.

To install osqp from source, clone the repository (git clone https://github.com/osqp/osqp-python) and run pip install . from inside the cloned folder.

Documentation

The interface is documented here.

Project details


Download files

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

Source Distribution

osqp-1.1.0.tar.gz (57.0 kB view details)

Uploaded Source

Built Distributions

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

osqp-1.1.0-cp313-cp313-win_amd64.whl (310.8 kB view details)

Uploaded CPython 3.13Windows x86-64

osqp-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (357.7 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

osqp-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (334.6 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

osqp-1.1.0-cp313-cp313-macosx_11_0_arm64.whl (302.2 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

osqp-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl (321.4 kB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

osqp-1.1.0-cp312-cp312-win_amd64.whl (310.7 kB view details)

Uploaded CPython 3.12Windows x86-64

osqp-1.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (357.6 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

osqp-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (335.0 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

osqp-1.1.0-cp312-cp312-macosx_11_0_arm64.whl (302.2 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

osqp-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl (321.4 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

osqp-1.1.0-cp311-cp311-win_amd64.whl (310.1 kB view details)

Uploaded CPython 3.11Windows x86-64

osqp-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (357.7 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

osqp-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (336.6 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

osqp-1.1.0-cp311-cp311-macosx_11_0_arm64.whl (301.9 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

osqp-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl (319.4 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

osqp-1.1.0-cp310-cp310-win_amd64.whl (309.3 kB view details)

Uploaded CPython 3.10Windows x86-64

osqp-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (356.1 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

osqp-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (335.5 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

osqp-1.1.0-cp310-cp310-macosx_11_0_arm64.whl (300.9 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

osqp-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl (318.0 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

osqp-1.1.0-cp39-cp39-win_amd64.whl (309.2 kB view details)

Uploaded CPython 3.9Windows x86-64

osqp-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (356.3 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

osqp-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (335.3 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

osqp-1.1.0-cp39-cp39-macosx_11_0_arm64.whl (301.0 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

osqp-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl (318.0 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

osqp-1.1.0-cp38-cp38-win_amd64.whl (308.9 kB view details)

Uploaded CPython 3.8Windows x86-64

osqp-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (356.0 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

osqp-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (335.2 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

osqp-1.1.0-cp38-cp38-macosx_11_0_arm64.whl (300.8 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

osqp-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl (317.8 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

File details

Details for the file osqp-1.1.0.tar.gz.

File metadata

  • Download URL: osqp-1.1.0.tar.gz
  • Upload date:
  • Size: 57.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0.tar.gz
Algorithm Hash digest
SHA256 4f81c819346ce8da6eeb105648c110cb00601d379aad8bd41a69296cb6d46464
MD5 fffe05ee561943afca3dcf314cb72f47
BLAKE2b-256 d8c504f5e38b45d08dd22a68bc7e7fff8607f8e23010162f63185f535e34480c

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 310.8 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 7803bf34683416e48835dabc8e8d7dd18325ccc24ca02072bec28eb14caeec98
MD5 e30a06fd8396b4579649cec30d79f9e0
BLAKE2b-256 14479a8fa96442ef020b50a4fa462657a74b3b129959d54dfe61ecb15cf2aff8

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bc7bb9c8b062a9d69702afd378413842c508e85e436742052f2a89b6b670b124
MD5 e0fa4efe0a0f91e9b94b4bf35af347b8
BLAKE2b-256 c0f3eaa1f35ffe08cf9fca0e85db6126199bf5ccc7bae13e2779bbdd01a274cf

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f164f722ea0f76fca2804bbb28621f12dd1d60e72bb4fba057d886fddf2dc628
MD5 2b9557e2d462edc8c0448a5fe30fe969
BLAKE2b-256 2e0117b1bd4cdeaa6c53b5c303b1cb999488b402bd0123bf81e24a4496c39a71

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 790dfa5ca4f5b85db3949c713f6b8583e074652c6cb35c18709764f27c27dffc
MD5 d6405a3d9565bbead8e0aff583829815
BLAKE2b-256 f1d6aaf4c2650a9385f2df0ce94e44cf292b5d8d16e969dc0a543b6f18fe30f6

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 dc3526c881e3f45e93039384c10e34f6cf2db7f15c203c41f1ee0745f111d107
MD5 443e818018411e8b039bd187d2045a5a
BLAKE2b-256 e02f67a889c7bd8fb56008ea43ae14211e2b7d2863afbb283e3fc75e202ee989

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 310.7 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a38956e5cdf7bb2213a906c4dfe9b722c44c24d3741380b2c43c31e5e7b9e2b5
MD5 fe476ca69caf866fa60507d0eede66d6
BLAKE2b-256 a436bee8cc33b517d1b93671828497270b0ef69338cba548271a6b5456f2080b

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 142feeb1b66a309abdd2cd206d5b0effe97da8111c4387d72601453804efd994
MD5 c2af47174383ad1599f14cd6bc456200
BLAKE2b-256 3936ca736c5404bc9948bffc0dc464647d24e0b2fd7c69126cd0d67c205894f4

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d2983851b91143bb12d2acf6061471d7dd6b885c0cfa440219a57a85b7d19c25
MD5 b4f7f6a44cf1d3b094f0e6c0815353ee
BLAKE2b-256 66f95ba3954a7ecfc7fd42e346a63621ccb04343467db668a4d5477f5c205c52

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b15bc820da970f4b5706e5ad3cbbb9a45c7864df3e613ed76966d81d7e5db1a9
MD5 49d33a9d8298a8c9d6e27bb81da97ee1
BLAKE2b-256 d1472a5f7d26288b92ca6ae7eb777e61487732317f282054854e38c1cf1abcee

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 3674e1fbe8479fa9e275918be2d2672dfd0f4d0b257813cde139a10103d5fcf9
MD5 dbd1168bef280748ebeb57355ec1de8e
BLAKE2b-256 4386a5c4ffd6d71e08a26bd1a076e740c7579e289bf6b54ae481b908e20f954b

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 310.1 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8f8ca54c90381b70130b5e49125a0d40676ae6230efcb5255eb70e940bfbc25a
MD5 ae35403815d1eaf5c9ee1bd8db49c233
BLAKE2b-256 08b2cc5834e4b277582ae831e2b5b2a4dd1f571c6ea1db605222082d74794681

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 201fa314dc5766c34f5bd6b93c0eaff53f7656f070f2b404057c4ed8bd0d8682
MD5 4497f94eba6194329752668fdd7772a4
BLAKE2b-256 ba538934416cfb20a37589762a5e374c9f5530ccc89fad3e3347c59e627c3f18

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1f79a1c3fde43174d2939da662d9e53de5e7ea2b62162b49ca3a6c2cc2b8a069
MD5 4bdbf51ef775a625137980ffbda239b1
BLAKE2b-256 ecfef514b53d44d49eba6bcfc25cec5d941e09bea8bfcaab54b7f0900ac5ad48

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 49dba64b2809d4dad8aeab97a7af16cf6eca7b24d54dfc9b4cfce69bdf0264cc
MD5 1e50bbb9469cb9a0e788718a8e8d32bf
BLAKE2b-256 80509214e4dc8eaece292c59dc29bf9a8b4e66604036e7a618c47d2d308f9c20

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0334ca6af9e6cb669c96228f176b4727d189f84cc5e79d1c14176aa7ccb59c08
MD5 09f176384ad118e6bb7b7cb8ddd7b44c
BLAKE2b-256 223728dd657c74d28b46c8bb7ea2aeea981bd6f33676dd82ebcc0e761c465e6d

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 309.3 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 18e62a6cedb595cf6b7227e7c05744759e8f01d0af25aecfa791f4afd1f11d61
MD5 210b8e85b42f078e7b8d43a27c9e9a0c
BLAKE2b-256 e309f45e5eccb6cf4269d3bded74a5cf8dfacd471bf7c4391a09f74f45f03744

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a5c7204bf79099e9cf1cc97e6b65fae672beb76fa0e0f038ab90ecf9de59126e
MD5 8576830f090c63f42082685bfa3ee20d
BLAKE2b-256 e1745c7ddb270a5a7f1e23ea7145b21f7007919ec805f42eb016e3e7e2f1f74d

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 59c546e7dcde0a4260d532eea50441fda39e16aa9e72f7b0e9fd7a881a7ef91b
MD5 360019d46fd1aced0742589a8fbaa11f
BLAKE2b-256 840c2b10b05ed8dede1b6c2629cc3451de5b38944329fb75c6ae3aa2214cdaff

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1c77738ca83cbecd950d395ae3f25a7d0bf1a1f36a2ea9f1c5ba9e09551645ee
MD5 93a4cabb5b5a915a0c7d57cf7cffe896
BLAKE2b-256 7759c261a245b40ebbf884a53d09951be0663f9fc1f0cd10ad966957fe0c056c

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8be4a4826804089cb9b91d9872461419eed857451ad92aa3d5b81920a2f11a4c
MD5 dac692bca402586b43a91170e3984f27
BLAKE2b-256 d7bf8c7c8c5b59b2bb5bd3079e5ac5d65d73086b5a0e01acae4a42edace1f114

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 309.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 9251cb758edab06e878a7a9b26e791c7807177facee347c1ececfacf415d1d4a
MD5 adf43daa8c0da5a4753d5818ebd03883
BLAKE2b-256 8fc1cd92a60ddd8f5bfc39d9b47573426e6c0f343df1eae74c6149b5125d977c

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a4824b8a35afd89e6b7c7f202eb0fe08a4b36eee70f36ae0a372a4bf8bb9e801
MD5 e625502b17e847ef3cb21f785e500860
BLAKE2b-256 84a83638cf6377ddc676245d9eb8b0dfdba820e3c34e046073f72478ee13403d

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e07c9139592253b10ee745e47309856224c69fd70b773ff1d6b205f8247b38af
MD5 75272ddc02ca5ad49bead6a4ebc4fe4b
BLAKE2b-256 2ab5bef6781558706f381ba90f68a83edca9563427d36179cf15cdf994f77383

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 301.0 kB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 28c00555b1dfcd5cade72eb72bdcf44db4f35c2fcb5de4370bd0dd458fa877b5
MD5 d8cce1b3391d70cebd472eaa7d71a1df
BLAKE2b-256 c046f64cd6c36346ed79674fb613fee4c802b4e4f957f11a1ee2d6b04c2c6791

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 318.0 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cfaef91bef364b5392ee60e39d20deb5e66282b04f249fd853cb0d60b762dfb4
MD5 81f49e9df0dbac42db53513b782f14e9
BLAKE2b-256 fb01be6f244fd2ada914da305eaaa81f31505c6d3678e47a7428454e4b79a6ff

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 308.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ce7298798f13ee12dd73ad7aed257fd9beac9258e4b844b20fd47d73fac08512
MD5 c91f89dcff6f6c255e948e09ecb9941d
BLAKE2b-256 d6273361bb369a6e716f6f6e845d32058597499ed0312e1557b3073a023537f1

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 beafdc39864cae6a5b5660185bfa5b0f04f4d5e79354a27585c1c3a665acaadb
MD5 20fca6603a983f847996a47d18251f6e
BLAKE2b-256 74abc531af665e46c0c100d9db6d4c1f4d72e369715659c6c0a0e1bf0a9cde45

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 daf8f21b86a99afd31530246c009c00e1cfb1cd4f76ebe59424bb31149fcb87a
MD5 d2894acebd1f8d6327d5dda491179ce7
BLAKE2b-256 f9f3aa98889251ecac9a5a26ea6ffe9bb6eb3553d5de6a07b1fd1a5be7f209c9

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 300.8 kB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 384d271ee78a232d9ada3c3b2a35d80dbb52aea238ec63ebfcf7ade2b37bc5d2
MD5 e0e0569b04bafa84fe2e4ba7b7e058b5
BLAKE2b-256 f2762fdc0f18588530d5a4efb78fad71b60edaab135e5ac5b0c2e7961fcd5e39

See more details on using hashes here.

File details

Details for the file osqp-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: osqp-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 317.8 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for osqp-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 eabacbece6531c04c877c5843f742d033e97937a85cfd328a791c215cbecfed8
MD5 539da96a0088cb58df01c5821281a367
BLAKE2b-256 9a44b4476240485b3ff464302b02c363c7e703483991fbce67f764ce8c9c6025

See more details on using hashes here.

Supported by

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