Skip to main content

libCellML Library: A library for the parsing, printing, and manipulation

Project description

libCellML is a library for the creation, printing, parsing, and manipulation of CellML 2.0 models.

Visit https://libcellml.org for help on getting started.

Project details


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.

libcellml-0.3.101rc1-cp310-cp310-win_amd64.whl (2.2 MB view details)

Uploaded CPython 3.10Windows x86-64

libcellml-0.3.101rc1-cp310-cp310-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

libcellml-0.3.101rc1-cp310-cp310-manylinux_2_17_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

libcellml-0.3.101rc1-cp310-cp310-macosx_11_0_arm64.whl (1.6 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

libcellml-0.3.101rc1-cp310-cp310-macosx_10_15_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

libcellml-0.3.101rc1-cp39-cp39-win_amd64.whl (2.2 MB view details)

Uploaded CPython 3.9Windows x86-64

libcellml-0.3.101rc1-cp39-cp39-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

libcellml-0.3.101rc1-cp39-cp39-manylinux_2_17_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

libcellml-0.3.101rc1-cp39-cp39-macosx_11_0_arm64.whl (1.6 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

libcellml-0.3.101rc1-cp39-cp39-macosx_10_15_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

libcellml-0.3.101rc1-cp38-cp38-win_amd64.whl (2.2 MB view details)

Uploaded CPython 3.8Windows x86-64

libcellml-0.3.101rc1-cp38-cp38-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

libcellml-0.3.101rc1-cp38-cp38-manylinux_2_17_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

libcellml-0.3.101rc1-cp38-cp38-macosx_10_15_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

libcellml-0.3.101rc1-cp37-cp37m-win_amd64.whl (2.2 MB view details)

Uploaded CPython 3.7mWindows x86-64

libcellml-0.3.101rc1-cp37-cp37m-musllinux_1_1_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ x86-64

libcellml-0.3.101rc1-cp37-cp37m-manylinux_2_17_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

libcellml-0.3.101rc1-cp37-cp37m-macosx_10_15_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file libcellml-0.3.101rc1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 759d079b0e14c53b6dc2215da185b6903de9f22ef43550208fee6124ccd50c2c
MD5 a8a35829e8370204c2fee7767ac49b1d
BLAKE2b-256 91ce2af6639681baf8206d0bc450aee23fb83dab5bcac23f7f6bdd78ec94ac8a

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 9b057f0f1e9a3882fe5c6cd4fa5f0da7bff21d97745dc5bdce65af256db42c24
MD5 e8db07c9fb6979952f88bd5bfe2a44f4
BLAKE2b-256 38ad15e957aaf6fe9063fa5d9de017909429041e4fcc4ded40fc08a5e0775131

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 7f8bb8d855a5dd7365d550d43a7204a636562afd5183629c428d9b1e4f203e1b
MD5 1feaa2939d6cfa6c63576c1bab49934c
BLAKE2b-256 f4a2a22144a8a6019124dca76dc47fc18a30b79dfd532ecf29632dbab5ec3203

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dd02925057cadc2720a6516122a6e1b1e75773aee442f84bde57cf63bc2664dc
MD5 5b610de78817c49dffbf3819b7472309
BLAKE2b-256 a690278fa89960cafdec44f0010e207e31728edbf6e7312bbf234a0188aca558

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 2bf118aeeadd8649591ab3e3e0e9c4c76de66497321667699ad7d5e16c9dc1f2
MD5 af22b630186b0eff8af7c6a04cbbe8f2
BLAKE2b-256 56aef4526186e9b86e15e4ec256ccbbc2a27f8371bb25411be9128ad0a312c13

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d1e73ea46a229cb8eeea2567b86db68466269181e473818f6c65aec8429ea369
MD5 59d589616169856a5324facc81bdbb4b
BLAKE2b-256 26bec06902f15f0900a31d95cc91131b6f87e0e7b1d9a0ee55b9b73f4fb83b1a

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 842fb6a989ca4ee08681e7b1f0b118e57b49c8700aa0cd2335ab280e6ca03ce2
MD5 146e1b12dbeca53179be61eb45c78221
BLAKE2b-256 f374b47a85a7f86a1d0eaf847093c9f3fb52da06d425551b7dcd44369907dc31

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 d95616e68cd4c5cd607c9d59d213211879e724c751c4bfeaf2bf750f169d61ad
MD5 a40def4ce9066e1e6bf9037800387192
BLAKE2b-256 e5f1477445e94e6817434daebe0960ccbd8fe7f3194bf815984b67d8f5e88d79

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bedaa7688d95b8e60a2d929e9584e9c44eb5d843169c6a00a67111a32df17c2f
MD5 1fcb34d5b27b5e2fa9c8a9715bc57d20
BLAKE2b-256 a2797814ee931db43ffe70640b7b593b79af6b4314a93290d61c0f16a73e727c

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 0a22dc1a10f5cc240bf7d06ca39c8d914177b337e3dd30abb18b0b2f2ce81869
MD5 106cfb784823f5c415b7a2ca1de55ece
BLAKE2b-256 733b5d8b589e99ad1a726e09501fd1a6df1bf5b8d6ae7207d4d62d390d179b19

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 47c900fb5c2fef47a8b50714a6af95e06e912a826b4ca78a5a53b8efb8003384
MD5 267337e56362f9c48d98f210d7d9f924
BLAKE2b-256 4415799fe3026bc0d75aca1c005f2e0fccdeb9cb9fb87c0ee16a9819b0643572

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 8b790a308f2036bd9cf64ea98c76ec981afd4e58f46fe4be3fe02b5db839a890
MD5 109775d9d98263f9982d9d6791a5d8e2
BLAKE2b-256 d77008fd87533caa2a491e6ac6dde72c2a4808178d237883b7fb262acc7ea486

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 9ee8bdcaac3f315d54a4687baad94c9c4c46adc80cca7e6bef8cffe1f82b0fb6
MD5 89d2b8263f0d6d59303210324f587762
BLAKE2b-256 c25cbbbd9ddd97974e8eb388eb81652b9b6977c30b78c1e76c47b40aadb23188

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6a283e60ea949a1677d15d178ffcc966b2079a872d8dc19358e9a3fdbec0aef4
MD5 8ca98bc03bd668bebc0d4d7ab5578f37
BLAKE2b-256 cf7a478f50c38b3b2c72240df6bf64a67433883abec6f89cc08211d9ba52261e

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 dc15542e1f4c8c12ca0b9050ed7e5453e40c90ac09e749c0cbb044a5b01be1d5
MD5 73e6494e187b3bec37b527455c57e462
BLAKE2b-256 38f17aea3bb90ab0bd135c5d392d2a803f7d7b09c878008db24e3bbc3dffbfc4

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 aa37251a4412b8019b1af426a33c9179db15d94a4fcb6bee0248a8305ef25c9f
MD5 cddc64d63d3a055b3e0b371760b833a7
BLAKE2b-256 e0466cda0039fec1aff1efca016daf89dfca7c18d8318435af851509379839e6

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp37-cp37m-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp37-cp37m-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 da20ae84935d3f69125696153fd4eb1fafefe16b54afcdc0cb1304d1e9c570ea
MD5 7d0e5073c37e653cd1aee27818b9fd8c
BLAKE2b-256 be4bdfe7217f545f2151257b6c30bea0a50b07bc497af4df24d2542df0b50c69

See more details on using hashes here.

File details

Details for the file libcellml-0.3.101rc1-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for libcellml-0.3.101rc1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 f7545f4924a2e6aacaca11283c302476192cbf1ed2e695434210ccc86fa08eff
MD5 aad64b6b11af70db0e2d2e5382731cb9
BLAKE2b-256 a1ce58fdb6a602e8db5e1ea1c2a49fa76973b1d7bd41072b3fa9825e36e0f35a

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