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

Type hinting

Type hinting requires to run a second step

python generate_stubs.py dora dora/__init__.pyi
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-0.3.9rc2.tar.gz (219.5 kB view details)

Uploaded Source

Built Distributions

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

dora_rs-0.3.9rc2-cp37-abi3-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.7+Windows x86-64

dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_x86_64.whl (8.3 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ x86-64

dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_i686.whl (8.1 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ i686

dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_armv7l.whl (7.9 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ ARMv7l

dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_aarch64.whl (8.2 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ ARM64

dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ x86-64

dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_i686.whl (7.1 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ i686

dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_armv7l.whl (5.8 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ ARMv7l

dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_aarch64.whl (6.3 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.28+ ARM64

dora_rs-0.3.9rc2-cp37-abi3-macosx_11_0_arm64.whl (6.9 MB view details)

Uploaded CPython 3.7+macOS 11.0+ ARM64

dora_rs-0.3.9rc2-cp37-abi3-macosx_10_12_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.7+macOS 10.12+ x86-64

File details

Details for the file dora_rs-0.3.9rc2.tar.gz.

File metadata

  • Download URL: dora_rs-0.3.9rc2.tar.gz
  • Upload date:
  • Size: 219.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for dora_rs-0.3.9rc2.tar.gz
Algorithm Hash digest
SHA256 be422f15ee34c12a010f892505c3483bd5be516ae82ecc88fb73dfd4417e0171
MD5 6ae1ef14042cec663424ceccc71f5494
BLAKE2b-256 1a8f9ffa21fc4c068e0abfcf0c6be8990dd1c262ddc2bd651fd1bf6eab29a329

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 351e7cf4286f14a70c16cff364f4dac72a24799fc16d04c7609c9e0d027ea4b3
MD5 f48221f905eff4b87ac81a00b00cc7ce
BLAKE2b-256 b124441fa175b27cd509a732cfaef679e5378a8953005303a8478796e7b48d8e

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f1903a8a4559479ab39911f1816da61ae6282786c4e885519657575d4d9300ed
MD5 4d7d24e755a9ffa7e35fd48987bfd59d
BLAKE2b-256 42b86e1aaf554e8eb0efaecc98178b36b19ac71204067dd30f5568284a202992

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 ed910f90822cf11134b3404236230a498833566e76fe9b3b2558da7135564b2b
MD5 acac784ec642566b246e2d9260a9a7da
BLAKE2b-256 09583db542154818577df9351a29f1fe493b5d96ac241c0e9bfc69e68f9e225e

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 e0cf19b0b1c6fc8a6baccf8bb4514e2cc291a7146d3508851a5179b5467118e2
MD5 052b526eb65091172933c40cf093656e
BLAKE2b-256 c7d30b1dcad31b324326e27940737f76a5f8e2b5f02d26366397e53d722ec2f9

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 b81f8eead3203e7754574b2e9132e18e7e1db8613e773b491999e640fe63b03c
MD5 e495a1e5f9afd8c7141fcdde459e7452
BLAKE2b-256 e021d585ecaddb110c7d88a6cb0025453466c2fdca195ef92203bad4d0d31dc7

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 901ba58f87f0580328f6bccbffe09ee9ea9992e38c3ce564b8e499bf8ad16386
MD5 b22576e517c11f9405805573053a6773
BLAKE2b-256 38013c5da5237ef8712dde0e818058f1428f89eed5c5a50c93c8cee5af54a40b

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_i686.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_i686.whl
Algorithm Hash digest
SHA256 be83d5523013832bf757b68b96e6068d7a3d6796c29026b3bd46c23f6c5ce8b4
MD5 a8b8e40314640971e1af4d5203487368
BLAKE2b-256 33921f75e6ce4262a0d30444bad22378fcc9843951295e62d56a15df1badb6bf

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_armv7l.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_armv7l.whl
Algorithm Hash digest
SHA256 d5cd8080e69c9c3b6854c193aa51f1b31cbd5abeb7179cdfa6e2466031d17c67
MD5 54355cf06cf188227a6b359b3561b2f3
BLAKE2b-256 98413e93b91f159b444b9586941590db144a06737940e45a17dad57f644a617f

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 278cf0e1b4be550626ad2548f919e6e01b37df73ba9f3b86bf74d184fc5e2fbe
MD5 edb3d0f6c85c4201a6ad6a8a11f88933
BLAKE2b-256 a7f20f717f23ef467c9ac3e73145e77ae76a82c09d26269adfeea3121681b3c0

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 52eda9c6b955f39aebbc4aee49c1b3aac119a4d6af76540f245bd7103f609c0a
MD5 e52585f1a1b0a27a513c21e7e216495e
BLAKE2b-256 7bef2fabec3bfa668cf0dd2ae600e4577b52cf1544f35f59e89f4ec005f9047b

See more details on using hashes here.

File details

Details for the file dora_rs-0.3.9rc2-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for dora_rs-0.3.9rc2-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 8c06a69d5e07b97dfa1ca1311c47b0961d750ad46282a057b63f3ff6e12f1391
MD5 e2a9ad0a78b02f2d9bd0530b06a4bdee
BLAKE2b-256 d97531309ba234b153ddb30f3ce60db08604b8ca3a9a0602b90dfea4f1f4b90a

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