Skip to main content

`dora` goal is to be a low latency, composable, and distributed data flow.

Project description

This crate corresponds to the Node API for Dora.

Building

To build the Python module for development:

python -m venv .env
source .env/bin/activate
pip install maturin
maturin develop

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

dora_rs-0.3.2.tar.gz (147.9 kB view details)

Uploaded Source

Built Distributions

dora_rs-0.3.2-cp37-abi3-win_amd64.whl (6.2 MB view details)

Uploaded CPython 3.7+ Windows x86-64

dora_rs-0.3.2-cp37-abi3-win32.whl (5.5 MB view details)

Uploaded CPython 3.7+ Windows x86

dora_rs-0.3.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ x86-64

dora_rs-0.3.2-cp37-abi3-manylinux_2_17_i686.manylinux2014_i686.whl (10.3 MB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ i686

dora_rs-0.3.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (10.1 MB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ ARM64

dora_rs-0.3.2-cp37-abi3-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.7+ macOS 11.0+ ARM64

dora_rs-0.3.2-cp37-abi3-macosx_10_12_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7+ macOS 10.12+ x86-64

dora_rs-0.3.2-cp37-abi3-macosx_10_7_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.7+ macOS 10.7+ x86-64

File details

Details for the file dora_rs-0.3.2.tar.gz.

File metadata

  • Download URL: dora_rs-0.3.2.tar.gz
  • Upload date:
  • Size: 147.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for dora_rs-0.3.2.tar.gz
Algorithm Hash digest
SHA256 cd03819b3b0ff9fb6d41efd0c90dd3f5c0701c166b09726aa93d0452a5f3b96e
MD5 7779268f8719a231a151713eb2c67014
BLAKE2b-256 71f2ce07a3341cf524473afaafc0d765a68fb7887543072eb97d1bd7fd55c883

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 3ab71cd305ce3dae7a72c09d5ffb7c34c3db375cf32da0686da93ea1a0e90417
MD5 68737ffeb589ccfac86652b1ac892fc2
BLAKE2b-256 4deb4a68b4b7df27e8c2ca245406c112d75fd1d0a4d39159126f85e7f0271f27

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-win32.whl.

File metadata

  • Download URL: dora_rs-0.3.2-cp37-abi3-win32.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.7+, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-win32.whl
Algorithm Hash digest
SHA256 5ff3e32b6be00e3bbb39ed3cdb7921f751f9603729d72c2dc3d4d5c9ee23ce1d
MD5 33619411ca1373d019e0c3bc1acc427d
BLAKE2b-256 8925102804ff13d41168b5be88f35d83f33d9ea51de495c15cb16f5ad4bb5d1c

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 efb23ce1de7e3361abce23efdb42e5bf5696142a7eff2cd5d090330051a00e29
MD5 bb9ae5c9220e662ee397150d7950d072
BLAKE2b-256 c2ad7b1ef3d664cc5a92d76222c895996104172ca40cdd084d17ac75b8cf6d9b

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 add980bbd7891999d5312cfe7d2e5a2854356b4dd8cbcd2ea1c2d40d48e84949
MD5 230e90b4f7a41bf4a429899d4ae30da5
BLAKE2b-256 8c96aec2d0bbe9714d1726acece517c16802f3b3e863f1d27fd54521b1d7c666

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e7bdc36d1f37eb11f9ff26c3ce90e124fc864c4f477341cf1baf2b3bc35255ea
MD5 161ed74d24ad143f4e2e953ad9c9f41a
BLAKE2b-256 d13830e51169b3d5b08e6d61c60b7a599cf3dff2b8456ddd81aced3b0c239235

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8a3b178ed5530bf373d0155860602770f6c6a47734e57c3e61a5b05ec9af7232
MD5 175496413317d52b3e3ad6fffa611239
BLAKE2b-256 6db3d40b3c092d0f79b4dff193b2f9e2b659e9a550964e9e1ae2036f54da9695

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 8d9deb73f69030cc882ed15d8cde5c639b169b5ca51c34434f2fbe0da11ac429
MD5 02ee392f3d2fa62cbab4cf43edbecf07
BLAKE2b-256 0400427335926724efdf0a8e2ead803f98e9840cfa3cd7b3a825a2a166af3d31

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.2-cp37-abi3-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.2-cp37-abi3-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 3fc316608c50db762f52d77ccaad88f06bed3c453f9753d35e188f9db4d0c083
MD5 0391d2ebbd0d483458132eecc4f1fb6c
BLAKE2b-256 e989f47d3c1a194db50479a820a57b2d04b355c02413ae74ad31126579c160f8

See more details on using hashes here.

Supported by

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