Skip to main content

A Fast Async Python backend with a Rust runtime.

Project description

Hypern

Hypern: A Versatile Python and Rust Framework

Hypern is a flexible, open-source framework built on the Rust, designed to jumpstart your high-performance web development endeavors. By providing a pre-configured structure and essential components, Hypern empowers you to rapidly develop custom web applications that leverage the combined power of Python and Rust.

With Hypern, you can seamlessly integrate asynchronous features and build scalable solutions for RESTful APIs and dynamic web applications. Its intuitive design and robust tooling allow developers to focus on creating high-quality code while maximizing performance. Embrace the synergy of Python and Rust to elevate your web development experience.

🏁 Get started

⚙️ To Develop Locally

  • Setup a virtual environment:
python3 -m venv venv
source venv/bin/activate
  • Install required packages
pip install pre-commit poetry maturin
  • Install development dependencies
poetry install --with dev --with test
  • Install pre-commit git hooks
pre-commit install
  • Build & install Rust package
maturin develop

🤔 Usage

🏃 Run your code

You will then have access to a server on the localhost:5005,

# main.py
from hypern import Hypern
from hypern.routing import Route, HTTPEndpoint

class MyEndpoint(HTTPEndpoint):
    
    async def get(self, request):
        return {"data": "Hello World"}

routing = [
    Route("/hello", MyEndpoint)
]

app = Hypern(routing)

if __name__ == "__main__":
    app.start()
$ python3 main.py

You can open swagger UI at path /docs

CLI

- host (str): The host address to bind to. Defaults to '127.0.0.1'.
- port (int): The port number to bind to. Defaults to 5000.
- processes (int): The number of processes to use. Defaults to 1.
- workers (int): The number of worker threads to use. Defaults to 1.
- max_blocking_threads (int): The maximum number of blocking threads. Defaults to 32.
- reload (bool): If True, the server will restart on file changes.
- auto_workers (bool): If True, sets the number of workers and max-blocking-threads automatically.

💡 Features

⚡ High Performance

  • Rust-powered core with Python flexibility
  • Multi-process architecture for optimal CPU utilization
  • Async/await support for non-blocking operations
  • Built on top of production-ready Rust language

🛠 Development Experience

  • Type hints and IDE support
  • Built-in Swagger/OpenAPI documentation
  • Hot reload during development
  • Comprehensive error handling and logging

🔌 Integration & Extensions

  • Easy dependency injection
  • Middleware support (before/after request hooks)
  • WebSocket support
  • Background task scheduling
  • File upload handling

🔒 Security

  • Built-in authentication/authorization (Comming soon)
  • CORS configuration
  • Rate limiting
  • Request validation

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

hypern-0.3.14.tar.gz (200.6 kB view details)

Uploaded Source

Built Distributions

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

hypern-0.3.14-cp312-cp312-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.12Windows x86-64

hypern-0.3.14-cp312-cp312-win32.whl (3.6 MB view details)

Uploaded CPython 3.12Windows x86

hypern-0.3.14-cp312-cp312-musllinux_1_2_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

hypern-0.3.14-cp312-cp312-musllinux_1_2_i686.whl (4.3 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ i686

hypern-0.3.14-cp312-cp312-musllinux_1_2_armv7l.whl (4.3 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARMv7l

hypern-0.3.14-cp312-cp312-musllinux_1_2_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARM64

hypern-0.3.14-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

hypern-0.3.14-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ s390x

hypern-0.3.14-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ppc64le

hypern-0.3.14-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (3.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARMv7l

hypern-0.3.14-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

hypern-0.3.14-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl (4.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.12+ i686

hypern-0.3.14-cp312-cp312-macosx_11_0_arm64.whl (3.6 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

hypern-0.3.14-cp312-cp312-macosx_10_12_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.12macOS 10.12+ x86-64

hypern-0.3.14-cp311-cp311-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.11Windows x86-64

hypern-0.3.14-cp311-cp311-win32.whl (3.6 MB view details)

Uploaded CPython 3.11Windows x86

hypern-0.3.14-cp311-cp311-musllinux_1_2_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

hypern-0.3.14-cp311-cp311-musllinux_1_2_i686.whl (4.3 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ i686

hypern-0.3.14-cp311-cp311-musllinux_1_2_armv7l.whl (4.3 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARMv7l

hypern-0.3.14-cp311-cp311-musllinux_1_2_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARM64

hypern-0.3.14-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

hypern-0.3.14-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ s390x

hypern-0.3.14-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ppc64le

hypern-0.3.14-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (3.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARMv7l

hypern-0.3.14-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

hypern-0.3.14-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl (4.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.12+ i686

hypern-0.3.14-cp311-cp311-macosx_11_0_arm64.whl (3.6 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

hypern-0.3.14-cp311-cp311-macosx_10_12_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11macOS 10.12+ x86-64

hypern-0.3.14-cp310-cp310-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.10Windows x86-64

hypern-0.3.14-cp310-cp310-win32.whl (3.6 MB view details)

Uploaded CPython 3.10Windows x86

hypern-0.3.14-cp310-cp310-musllinux_1_2_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

hypern-0.3.14-cp310-cp310-musllinux_1_2_i686.whl (4.3 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ i686

hypern-0.3.14-cp310-cp310-musllinux_1_2_armv7l.whl (4.3 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARMv7l

hypern-0.3.14-cp310-cp310-musllinux_1_2_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARM64

hypern-0.3.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

hypern-0.3.14-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ s390x

hypern-0.3.14-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ppc64le

hypern-0.3.14-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (3.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARMv7l

hypern-0.3.14-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

hypern-0.3.14-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl (4.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.12+ i686

hypern-0.3.14-cp310-cp310-macosx_11_0_arm64.whl (3.6 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

hypern-0.3.14-cp310-cp310-macosx_10_12_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10macOS 10.12+ x86-64

File details

Details for the file hypern-0.3.14.tar.gz.

File metadata

  • Download URL: hypern-0.3.14.tar.gz
  • Upload date:
  • Size: 200.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for hypern-0.3.14.tar.gz
Algorithm Hash digest
SHA256 74af8e8e8f1f0d6b0f35a12f4973a3cde276a1702d234f05cee9658c6055310f
MD5 efbabed8cb7bb8d17c70c6f6ba225bdf
BLAKE2b-256 6b20f21513614bcf329f712fb1d183c4228222945c57381eb8679b62ffe74ec0

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: hypern-0.3.14-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for hypern-0.3.14-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 62ac7858f73c0f937237be8e5ebfa513180e57908b6e6c0ffa9877b1c24d246a
MD5 97738f8697b07c583f71b0bd84c81cd4
BLAKE2b-256 13e9b8fd574f8db6a558801c2b253f840706299e6d7e6aafb29564dccfed34e6

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-win32.whl.

File metadata

  • Download URL: hypern-0.3.14-cp312-cp312-win32.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for hypern-0.3.14-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 527871b35d0f3b218420af0ab354e4187ec297e24cafaaec79f81766416de0d9
MD5 fee15bae025349bc982320ca6d0376c4
BLAKE2b-256 4ec45f4b2fdc9ec58bc02fb3d923fe4aae62d17eed565e69905b7d00f9027be4

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 cd8657a4057dc4d32877c44a493eb591604cf2ad83b495548d9cca1369d212f4
MD5 4264fc4a184b7c59a4fd89498fb0d956
BLAKE2b-256 3569a6ba2921a6315c0c2526294bc13600f9f254230927b8ab69f597e1131f72

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 63f2235b5695a9dfa81fddbb696a82ff89667b01bb137de9b96928bf6dabffc2
MD5 9009e8ea409454d6c011caaeacc579e4
BLAKE2b-256 f03d0d9504afd8c5fa20303d16a3cf1003ebd2f022e3c26acae22dc9f538509f

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 9ad6ef2e3e8cce94bccacd53fd2222d474197642505c8b6ba5d63ce015e095fa
MD5 0edfdab06d13c0c0e941eef36c86747a
BLAKE2b-256 3e232e3c1c517b6a4d925610bbf9a14f10eb752cc0ab57c1826dbde9e73454cd

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 49bdcd4fe7349910c68fc8fa76d168ef27e43f608bbdfb27f43ec05b698f8359
MD5 a5121eb0e6254c45b81884de8c2f6136
BLAKE2b-256 0ba5f7b5568e5a09f1b323f9c70d40eb4b8ab8d22bbe77ac14be257e626229a8

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b35a4797154b2fb70d30f090427d30c072057d030722b312648c5e6f76b8afda
MD5 5728fe4e0d218791752867008999a3ff
BLAKE2b-256 22ecb9a849777772bdfa443860b5f23ed2ec9ad25a65da1fb953d131fc69f459

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 15ff0df3efb431a57f10e0c94d73607f311650b9eb688ed89b9a7b5b39a6fb48
MD5 1da56570b076828b55a6a9c21ef10c37
BLAKE2b-256 b634775f75d2daedd583979ad39f63b86db7b374d5933512c9193e13cc1a9386

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 8a4b3d92a7e7bf68b58589b1ee89a0d56093663b06591759e62ed4098d620406
MD5 da26ab178cf9e7a4b2523e3fdb2edb37
BLAKE2b-256 78a403dc040d3734854dc7698f69bb55a0ecc86c604d297602120b9f7e0019bd

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 29538adba29af23bb1fd3632d4551c1992f791d1cd858a167a4523fb4eab3b93
MD5 24a11ab055a89b4d27277c2ec7ed79c6
BLAKE2b-256 a7b22152c486899871d385fb0230412065de6147003e1649cb17d2a285b15eb0

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9add042fed220d71bbfbc18bdea6f03ccf9c28104b48a3ee85851c2f850ec48f
MD5 e6f9acd0229a8808de59194d6c639abe
BLAKE2b-256 940337d1a50ebbe1866950338309a17e6c19c1290d8fea000a3bbf7468c9c06b

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 9d9c4c218debe134050866dd37e1e93ee35c253d69050562640d3884c56ccf90
MD5 e02adfd534fbb16b166f820fe6c1e517
BLAKE2b-256 7ed0fdee5ac9e4b775c5db650f39411fe1c2d928d951dd04f50cc218d02a3c6c

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5b259e2b248f1785288fb5cd8d13f83a338f2ff835d04892605b3c12be710f65
MD5 1c534c62081d2a3e985cac6f8d394d32
BLAKE2b-256 a24d389993ca6805f31b32fdf602620770a0fad332bba39a03f9fc318af82308

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 cbb8a7951d0400411f532f4ce0c12af9ddcfdd031e3ad5d45aa92f4c3f6e9bf1
MD5 7d73c388683c837ae2f55ba4ad958e5f
BLAKE2b-256 bedfa6f0b392041082f42d60650fe449c244d0892fd3d4d1fdcd6af2f5c4ce32

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: hypern-0.3.14-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for hypern-0.3.14-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 1fcd56f55fa6935a36b7c0ed72115204617b2bf6d97e5caf752e1742c2df8aa5
MD5 755d46af68ddc28e7ca485c4f680142d
BLAKE2b-256 ad1016b304c6e7eb15f6673ca32aabbff977093b2e363c28a0e089b048073618

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-win32.whl.

File metadata

  • Download URL: hypern-0.3.14-cp311-cp311-win32.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for hypern-0.3.14-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 9291f5834b076aa2bf7df2356aad6762825bd4522d958befc690cca2b9eb37cd
MD5 23a573a50cbc562ee0de356c0ca42dbb
BLAKE2b-256 43771d8f45a891b6699ade5cc854e333ed1d7206cd27cc39e3afc96dfa390c67

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 574211038aa788699a64b3183c54788574ad23c84af1bc369fb2652eabcafbf1
MD5 f2953466f44cca2460f25d2ff032c29b
BLAKE2b-256 0f6fd6ba3a9dbb83e9bd010a559ccbbaefd5a5a9c34f5c04039bfa78827ad7a0

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 b28bcfc6b4cc42288e1e85fb446e3ee81b1ebb03905fe55e5cca3bbc0fccf89b
MD5 3c4b36541ec255d8d10eb706f20de787
BLAKE2b-256 bbcb68f770df3fe3a4cbaa9922cea12aee512999b830ff27cdbff234213ca61c

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 a35eb77d69dd04dfd87db72c28d5c964d8f1ea3b090d79cefc8c5351dd87ccb8
MD5 0b549668666857719983711c1b9d52c5
BLAKE2b-256 2a7553be6e3a04198e68314f453db03ae2ad045c900f297d4b9ebf1514fed353

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 18e375306774e98c286b1fc882378c476857724124280152d3b1f6f322990aef
MD5 f26c5a598d44da102d6f9c7983b111c1
BLAKE2b-256 0c8abaa8f425c7f718be669a912db88dab8e85da611572b6b9e4b38b5db6a385

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c10050e2a2bbac6cf168b1740cd9ec29d1d1c30afa4ffde3d151c473ec254db1
MD5 0bad614962a1f40d1c245a221301e96f
BLAKE2b-256 6a6be49dd2e7d54af781353463c30c8fdbf3759ed843acdccd20605ae126237f

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 14435ae5905433f0ccededc43f3ebcc3b2a865ba5ea50a9772193b1516e8824d
MD5 7b2b121177a8cab636e184464e337bc3
BLAKE2b-256 70e5df9ac0b7603b2db4ae8f219eb226b94bc33647107e657bae2da9e6f27764

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 cc1efca4928d48f17a30d01f9830339b4c589682843b233e1808c4de9fe36b47
MD5 a6d04248df04b6bfc927f8b4cdbd7bd8
BLAKE2b-256 3b8b1ddad40ee3473e94e0253c8f71018dcfafcb73f174c6beae0f46a372d6d0

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 4ca99f5976b74823421a2a2541428d5bb6fa7eed166679dbbbfd4e56861e4431
MD5 f7982d956dc08d30aed71aba825c1d88
BLAKE2b-256 4787e3eba8c3bb1032e0a7c37363c35e6aca90501d8aaffc20540ec295119442

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 93bbfbae1b68c4913a3ab4685019b364282f06398fbd0d34882aef97f9838655
MD5 f5389659b586bec30838002252fbfea1
BLAKE2b-256 b5832148423313592cb672c20404fbed30b13c6c1c7a2f94ab99da7a559dc677

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 593e7c2acb4504aa8d805a3beee990d4407c908662746079ec16dfcc5ea1377b
MD5 83343ee3877f9f7680c180233c1819e8
BLAKE2b-256 17675aa606ede19dcf3b657b662365dc3fe5dc908f9248cda484e6c74a56f8a3

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9553a6380b52175bdfc2e6ed89535dc9ccb75ecc436063381856484d12c845f7
MD5 fe22bff3eb9e3cba6a5c54ef9bca4f2c
BLAKE2b-256 ef4d75c39c95a8c6c35193736d3981e4a82353220a2f4b9b7d9135edb40c1f8c

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 447364929019ae5dd4e354ab4d8bf2d58ef4354a07ef2998e637cb0fd6c9d218
MD5 17fa04191aec6595bc14af1317ae5d69
BLAKE2b-256 543f1d2ec9050757313b0f55bb33e6dcf4f4c7696b2144b571cf8b98e65e9f17

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: hypern-0.3.14-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for hypern-0.3.14-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 aa0580a5812fe0882bd7736de0435a0ea613514955669f174878302ed1924e94
MD5 e7e030ee35bcd0ea3a62d0313e58ce9e
BLAKE2b-256 4831292b8949571b03840f6084b5d8d10e970a8c56fca71444fd899dec059a2b

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-win32.whl.

File metadata

  • Download URL: hypern-0.3.14-cp310-cp310-win32.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.8.1

File hashes

Hashes for hypern-0.3.14-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 1960ff5f1ba4010f01c5fa8a84d6d437b4ab2f68fbb0c16ae379f1cad40fdaf6
MD5 4d26f822e44048cd25f8b692f85cffa0
BLAKE2b-256 e70c92668688f7e01e4e01883900b41ef1fc2d22a38c1a5d35e2f4267c8772d5

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 55487eeeeb7ec19b7b560518be6526d35ba9ef5e3328ca608fc3e8a1bf8a0faf
MD5 8c9fc9a3b9bcd0821c7a4c7526c65eec
BLAKE2b-256 fc10e5640fbb98443d05023db0fcffb2849c1d098528be610a4cc9fe72dda9f3

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 43d8d556f0bba52401665c1482bf6802c37dfbb34ffcf46b95af6a6eded77991
MD5 b72b699983ab9821405a1c45841c92fb
BLAKE2b-256 6baaab755bfca7c48bdb153ec1b84aebd866f9aaa6bcbd6ba20d4aca68415aa0

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 fc968f4570abaec70eddcff5903919d42a423052174e947f8802d22a662b63f0
MD5 2d6c5e286cf25cb29b7043eef717b485
BLAKE2b-256 dfdd99752afcd4f65f3f75572656de11884839dc2e327fd8cfe1ddef4682f3af

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 c7cbed92580813460fcac1977698ccdd15310c0c0c2d8f852d9c7467c25cb10f
MD5 68d213c0b190fe6726eca2a0bb022c0b
BLAKE2b-256 7c3882f8685fd7674a41545a94b168eed4da62aa13a5dba29e8b2778f0702197

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 891c55fcc19226293e8458bafd9e457311b1ef531e9efe8bd761f87765d65a97
MD5 2bcded5747ef7df4be1d7950e3566e62
BLAKE2b-256 bf61fd6946036f78b41d07634b3fffab969307d2622bf5e713195414c429261b

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 4286a8c864c633b79551b706338c691a8ad0941b3b674bc7978e388e2b3db961
MD5 d4c5d5731052f16d740512aece17f937
BLAKE2b-256 fa30e1206591ba5d152c585df92bc153ae97fdc5f48f1ef13e6f95dd060ea24e

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a165183852eda91a3701841a223355cb91b7bd1654db651e5bd3e832e588bcdd
MD5 d3a807f1bd8dc93567566722b31dd7be
BLAKE2b-256 4810cafad626b5030614b00d79e9b395ecb8bf319bfaccf900bc674692b80b1f

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 38da9b66df149ab1efd9db18f316e4900392148688bb5870d1847ed71cb4a30b
MD5 53b34061e2767966affe7ea3a430198e
BLAKE2b-256 aaeb3a101216318ea7bff700d49dacc4b8f44e59f94a786898134063c2ef545d

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a363ef60d3a6d6ae417a6b3e72232a57aa1cc495e678eb8d54447adb4e34c70d
MD5 f5476cbded3ee03b49450d2063d21eeb
BLAKE2b-256 a4e677a85eac2748704b472d754e1251d8ec8b297c7388e29f0a777f0e9d0004

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 fb8cb910aa5f4be174a8fa2569a32e12b98a0fc54f3484fe75c9820288fef30c
MD5 7a9a5453aa8f7b6a6ada400a08de5f2e
BLAKE2b-256 2618ff08d805e128fbca391db068c6adae4e5917eaff91ae555891fa76517f0a

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ff56b9d5e7b1d9a24b14fde916bd3f349fc9fae7125d8bd2912f689da410713e
MD5 17eb673f23e3d50081d457a0ae9f5ed8
BLAKE2b-256 7b8b74e95a9efe31922f58a743d8b3ed336e1829a1bd798add42c4cc3242685b

See more details on using hashes here.

File details

Details for the file hypern-0.3.14-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for hypern-0.3.14-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ba808be9b60891e36c6bf7eacabd80f260d435bc59fa4ac71c77181c6544641b
MD5 752e6ff878bee768796a51ccdf1b15ae
BLAKE2b-256 95816f338fb8a9db371b775e5bdd39d17ec21776954200041ec5dca96cdbb372

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