Skip to main content

AstraAPI framework, high performance, easy to learn, fast to code, ready for production

Project description


⚡ AstraAPI

High-Performance · Easy to Learn · Fast to Code · Ready for Production

PyPI MIT License Status Python C++20 Pydantic v2


AstraAPI is a modern, production-grade Python web framework with a C++20 hot-path core. It is inspired by and fully API-compatible with FastAPI — you get the same beautiful decorator-based routing, automatic OpenAPI docs, Pydantic v2 validation, Depends injection, and WebSocket support, while the inner engine is a compiled C++ extension that handles HTTP parsing, route matching, parameter extraction, JSON serialization, CORS, compression, and response building — with zero Python overhead on the critical path.

"AstraAPI = FastAPI's developer experience + uWebSockets' throughput + Node.js cluster's multi-worker model"


✨ Key Features

Feature Description
🚀 C++20 HTTP Core HTTP parsing, route matching, param extraction, JSON encode/decode — all in compiled C++ (_astraapi_core.so)
🎯 FastAPI-Compatible API Same decorators (@app.get, @app.post, …), Depends, Body, Query, Path, Header, Cookie, Form, File, Security
🔄 Zero-Lock Multi-Worker Each worker is a fully independent OS process with its own GIL, event loop, and memory space. Zero shared state = zero lock contention
🌀 uvloop / winloop Event Loop Uses uvloop (Linux/macOS) or winloop (Windows) instead of CPython's default asyncio loop — up to 2–4× more I/O throughput
📄 Auto OpenAPI + Swagger/ReDoc Built-in /docs (Swagger UI) and /redoc (ReDoc) — served directly from C++ pre-built byte buffers
Pydantic v2 Validation Full request body validation, response model serialization, and model_dump_json — all via Pydantic v2
🛡️ Built-in Middleware CORS, TrustedHost, GZip/Brotli compression, Rate Limiting — implemented in C++ with zero Python allocation per request
🔌 WebSocket Support RFC 6455 compliant WebSocket with C++ ring-buffer frame parsing, echo auto-detection, batch frame building, and per-connection backpressure
⚙️ Lazy Imports Heavy imports (Pydantic, OpenAPI models) are deferred until first access. Cold startup reduced from ~4.7 s → ~1–1.5 s
🔁 Hot Reload File-watching reloader (watchfiles) restarts workers on code change
🧪 Test Client Drop-in TestClient based on httpx for sync/async endpoint testing
📁 Static Files + Jinja2 Templates Plug-and-play static file serving and HTML templating
🔒 Security OAuth2, HTTP Basic/Bearer, API Key — mirrors FastAPI's security utilities
🪝 Lifespan Events on_startup / on_shutdown callbacks and async context-manager lifespan
🖥️ Cross-Platform Linux (SO_REUSEPORT + uvloop), macOS (fork + uvloop), Windows (subprocess + winloop + socket.share)

🌟 Inspired by FastAPI

AstraAPI was directly inspired by FastAPI created by Sebastián Ramírez. Every public-facing API — decorators, dependency injection, parameter declarations, OpenAPI generation, security utilities, response models — is intentionally compatible with FastAPI so that existing FastAPI applications can be migrated with minimal changes.

# This is valid AstraAPI code — and also valid FastAPI code
from astraapi import AstraAPI, Depends
from pydantic import BaseModel

app = AstraAPI(title="My API")

class Item(BaseModel):
    name: str
    price: float

@app.post("/items/", response_model=Item)
async def create_item(item: Item):
    return item

What AstraAPI adds on top of the FastAPI mental model:

  • A compiled C++20 extension replaces the entire ASGI hot path
  • A built-in multi-worker supervisor replaces Gunicorn/Uvicorn
  • A uvloop/winloop event loop replaces the default asyncio loop
  • Zero-allocation per-request interning for HTTP method strings, header names, status lines

📦 Installation

pip install astraapi

Note: The package ships a pre-built _astraapi_core.so (Linux) / .pyd (Windows). To build from source:

cd cpp_core && mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make -j$(nproc)
cp _astraapi_core*.so ../../astraapi/_astraapi_core.so

🚀 Quick Start

from astraapi import AstraAPI

app = AstraAPI()

@app.get("/")
async def root():
    return {"message": "Hello from AstraAPI ⚡"}

# Run with built-in multi-worker server
if __name__ == "__main__":
    app.run(host="0.0.0.0", port=8000, workers=4)

🔄 Complete Request Flow

The following diagram shows the full lifecycle of an HTTP request inside AstraAPI:

┌─────────────────────────────────────────────────────────────────────────────┐
│                          CLIENT  (Browser / HTTP Client)                    │
└────────────────────────────────────┬────────────────────────────────────────┘
                                     │  TCP Connection
                                     ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                   MASTER PROCESS  (Supervisor / Accept Thread)              │
│                                                                             │
│  ① listen_sock.accept()  — single blocking accept, no thundering herd      │
│  ② Round-robin dispatch  — SCM_RIGHTS (Linux) / socket.share() (Windows)  │
│  ③ Worker restart        — crashed workers are automatically re-spawned    │
└────────────┬──────────────────────────┬────────────────────────────────────┘
             │ fd / shared socket        │ fd / shared socket
      ┌──────▼──────┐            ┌───────▼──────┐
      │  Worker 0   │            │  Worker 1    │   ... (N workers)
      │  (Process)  │            │  (Process)   │
      │  own GIL    │            │  own GIL     │
      │  own loop   │            │  own loop    │
      └──────┬──────┘            └──────────────┘
             │
             ▼  CppHttpProtocol.data_received()
┌─────────────────────────────────────────────────────────────────────────────┐
│                   C++ HTTP LAYER  (_astraapi_core.so)                       │
│                                                                             │
│  ④ HTTP Parse      — llhttp (Node.js parser, zero-copy view)               │
│  ⑤ Route Match     — Radix trie, O(log n), pre-compiled at startup         │
│  ⑥ Param Extract   — Path params, query string, headers, cookies in C++    │
│  ⑦ JSON Parse      — yyjson (SIMD-accelerated, strict mode)                │
│  ⑧ CORS Check      — case-insensitive origin matching, zero allocation     │
│  ⑨ DI Resolution   — Resolve Depends graph, inject typed params in C++     │
│  ⑩ Compression     — libdeflate (gzip) / Brotli, chosen by Accept-Encoding │
│  ⑪ Rate Limiting   — Sharded mutex counters (16 shards), per-IP           │
└──────────────┬──────────────────────────┬──────────────────────────────────┘
               │                          │
   ┌───────────▼─────────┐    ┌───────────▼─────────────┐
   │  SYNC ENDPOINT      │    │  ASYNC / PYDANTIC        │
   │  (no Python touch)  │    │  ENDPOINT                │
   │                     │    │                          │
   │  C++ builds full    │    │  C++ returns InlineResult│
   │  HTTP response and  │    │  Python: await endpoint  │
   │  calls              │    │  Pydantic validates resp │
   │  transport.write()  │    │  C++ serializes JSON     │
   └─────────────────────┘    └──────────────────────────┘
               │                          │
               └──────────┬───────────────┘
                          ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                      RESPONSE PATH                                          │
│                                                                             │
│  C++ build_response_from_parts() → pre-cached status lines + headers →     │
│  transport.write(bytes)  — single syscall, keep-alive maintained           │
└─────────────────────────────────────────────────────────────────────────────┘
                          │
                          ▼
                      CLIENT  ✅

Request Flow — Step by Step

  1. TCP Accept — The master supervisor calls accept() once and dispatches the file descriptor to a worker via Unix socket (SCM_RIGHTS on Linux) or socket.share() (Windows). Workers never compete for connections.
  2. data_received — Python's asyncio protocol (CppHttpProtocol) receives raw bytes and calls into _astraapi_core via a single C-extension call.
  3. HTTP Parse — C++ uses the llhttp parser (same as Node.js) to parse headers and body. Strings are interned (PyUnicode_InternFromString) once and reused forever.
  4. Route Match — A compiled radix trie matches the method + path in O(log n). Routes are frozen before workers fork — shared as read-only COW pages.
  5. Parameter Extraction — Path params, query strings, headers, cookies extracted in C++ with zero Python dict construction for sync routes.
  6. Endpoint Dispatch — Sync endpoints return directly; async endpoints yield an InlineResult capsule back to Python which awaits the coroutine.
  7. Pydantic Validation — Response models call model_dump_json() — result is passed back to C++ for final serialization.
  8. Response Write — C++ assembles the full HTTP response from pre-cached byte fragments and calls transport.write() — a single syscall.

🏗️ Worker Architecture

┌──────────────────────────────────────────────────────────────────────┐
│                        ASTRAAPI  PROCESS MODEL                       │
├──────────────────────────────────────────────────────────────────────┤
│                                                                      │
│   ┌─────────────────────────────────────────────────────────────┐   │
│   │              MASTER  (Supervisor Process)                    │   │
│   │                                                              │   │
│   │  • listen_sock.accept() ──► round-robin dispatch           │   │
│   │  • Monitors child PIDs via os.waitpid()                    │   │
│   │  • Auto-restarts crashed workers                           │   │
│   │  • Tunes sysctl (somaxconn, tcp_max_syn_backlog)           │   │
│   │  • Raises fd limit (RLIMIT_NOFILE → 65535)                 │   │
│   └──────────┬──────────────┬────────────────┬─────────────────┘   │
│              │              │                │                       │
│    SCM_RIGHTS│   socket.    │  SO_REUSEPORT  │                       │
│    (Linux)   │   share()    │  (kernel does  │  + ─ ─  N workers    │
│              │  (Windows)   │   balancing)   │                       │
│    ┌─────────▼──┐  ┌────────▼──┐  ┌──────────▼──┐                  │
│    │  Worker 0  │  │  Worker 1  │  │  Worker N   │                  │
│    │            │  │            │  │             │                  │
│    │ own GIL    │  │  own GIL   │  │  own GIL    │                  │
│    │ own memory │  │ own memory │  │ own memory  │                  │
│    │ own loop   │  │ own loop   │  │ own loop    │                  │
│    │ uvloop/    │  │ uvloop/    │  │ uvloop/     │                  │
│    │ winloop    │  │ winloop    │  │ winloop     │                  │
│    │            │  │            │  │             │                  │
│    │ CPU pinned │  │ CPU pinned │  │ CPU pinned  │ ← sched_setaff. │
│    │ (core 0)   │  │ (core 1)   │  │ (core N%k)  │                  │
│    └────────────┘  └────────────┘  └─────────────┘                  │
│                                                                      │
│  • Route table frozen before fork → shared as read-only COW pages   │
│  • Zero IPC after startup (SO_REUSEPORT mode)                       │
└──────────────────────────────────────────────────────────────────────┘

Linux — Three Modes (Best → Fallback)

Mode How it works Latency
SO_REUSEPORT Each worker binds its own socket; kernel dispatches SYN packets directly — no master accept thread, no IPC Lowest
Master-Accept + SCM_RIGHTS Master calls accept(), sends fd to worker via sendmsg + SCM_RIGHTS over Unix socketpair Low
Shared socket Single listen socket shared via socket.share() Moderate

Windows

Master uses socket.share(pid) + socket.fromshare() over AF_INET socketpairs. Same round-robin guarantee, no thundering herd.


⚡ Why AstraAPI is Faster Than Uvicorn + Gunicorn

The table below compares what happens on every single request:

Component Uvicorn + Gunicorn AstraAPI
HTTP Parsing Python ASGI scope dict allocation (7+ keys) C++ llhttp, zero Python dict
Route Matching Python regex, dictionary lookup per route C++ radix trie, O(log n), pre-compiled
Param Extraction Python re.match() + dict construction C++ param_extractor, direct struct write
JSON Decode Python json.loads() / orjson.loads() C++ yyjson SIMD parser
JSON Encode Python json.dumps() / orjson.dumps() C++ yyjson writer, single allocation
CORS Python middleware, dict lookups, .encode() calls C++ case-insensitive origin match, no alloc
GZip Python gzip module (GIL-bound) C++ libdeflate (2–3× faster than zlib)
Brotli Requires separate brotli middleware C++ Brotli native, auto-negotiated
Response Build Python bytearray + string formatting C++ pre-cached status lines + single memcpy
Worker Model Gunicorn master-accept → WSGI/ASGI overhead Zero-lock independent processes, no arbiter GIL
Event Loop Default asyncio (libuv-less) uvloop / winloop (libuv-based, 2–4× faster I/O)
Startup Time FastAPI ~4–5 s cold import AstraAPI ~1–1.5 s (lazy imports)
String Interning .encode() per request for method/headers Pre-interned PyUnicode_InternFromString at startup
Memory per request Multiple dict + list allocations in Python Reused C++ buffer pool (buffer_pool.cpp)

Key Architectural Advantages

1. C++ on the hot path, Python only where needed

Sync endpoint:   TCP bytes → C++ parse → C++ route → C++ params → C++ response  (zero Python)
Async endpoint:  TCP bytes → C++ parse → C++ route → C++ params → Python await → C++ serialize

2. Zero thundering herd

Gunicorn's default pre-fork model has all workers call accept() simultaneously, causing a kernel stampede on connection arrival. AstraAPI's master process accepts once and dispatches — workers consume from a queue with guaranteed even distribution (Node.js cluster SCHED_RR pattern).

3. Per-worker CPU affinity

os.sched_setaffinity(0, {worker_id % cpu_count})

Each worker is pinned to a dedicated CPU core, eliminating L2/L3 cache thrashing and TLB flushes caused by process migration across cores.

4. Pre-warmed buffer pool

A C++ buffer_pool pre-allocates std::vector<char> buffers at startup. Per-request allocation becomes an O(1) list pop — no malloc/free on the critical path.

5. Route table frozen and COW-shared

Before forking, app._sync_routes_to_core() freezes the radix trie. All workers inherit it as read-only copy-on-write pages — never copied, never locked.

6. Lazy imports cut startup time by 3–4×

# Heavy imports (pydantic, openapi, routing) deferred to first use
# `from astraapi import AstraAPI` → ~1-1.5s  (vs ~4.7s eager)

🔌 WebSocket Architecture

Client  ──WS Frame──►  C++ ws_frame_parser (ring buffer, RFC 6455)
                            │
                            ▼
                    _WsFastChannel.feed()  ──► Python endpoint await
                            │
                  (echo detected?) ──YES──►  _handle_ws_frames_echo_fd
                            │                 (direct FD write, no Python)
                           NO
                            ▼
                    Python endpoint processes frame
                            │
                    ws.send_text() / send_bytes() / send_json()
                            │
                    C++ ws_build_frame_bytes()  (single allocation)
                            │
                    transport.write()
  • Echo auto-detection: if an endpoint echoes received data, AstraAPI switches to a direct-fd echo handler that bypasses Python entirely
  • Batch frame building: multiple sends within the same event loop tick are coalesced into a single transport.write() via _ws_build_frames_batch
  • Backpressure: pauses transport reading when buffer > 256 messages or 8 MB, resumes at 64 messages / 2 MB
  • WebSocket Groups: broadcast to N connections using pre-built frames (_ws_groups.py) — frame built once, sent to all

🧩 Project Structure

astraapi/
├── __init__.py              # Lazy-import gateway (startup: ~1.5s)
├── applications.py          # AstraAPI class — main app entrypoint
├── routing.py               # APIRouter, APIRoute, path operation decorators
├── _cpp_server.py           # asyncio.Protocol bridge to C++ core
├── _multiworker.py          # Zero-lock multi-worker supervisor
├── _astraapi_core.so        # Compiled C++20 extension
├── _request.py              # Request object
├── _response.py             # Response classes (JSON, HTML, Stream, File…)
├── _routing_base.py         # Base routing primitives
├── _middleware_impl.py      # Middleware stack builder
├── _websocket.py            # WebSocket wrapper (CppWebSocket)
├── _ws_groups.py            # WebSocket group broadcast
├── param_functions.py       # Body, Query, Path, Header, Cookie, Form, File, Depends, Security
├── dependencies/            # DI resolver
├── openapi/                 # OpenAPI schema generation
└── security/                # OAuth2, HTTP Basic/Bearer, API Key

cpp_core/
├── src/
│   ├── app.cpp              # CoreApp, HTTP handler, InlineResult
│   ├── router.cpp           # Radix trie route matching
│   ├── http_parser.cpp      # llhttp wrapper
│   ├── param_extractor.cpp  # Path/query/header param extraction
│   ├── json_writer.cpp      # yyjson-based JSON serialization
│   ├── json_parser.cpp      # yyjson-based JSON parsing
│   ├── ws_frame_parser.cpp  # RFC 6455 WebSocket frame parser
│   ├── ws_ring_buffer.cpp   # Ring buffer for WS frames
│   ├── middleware_engine.cpp # CORS, TrustedHost in C++
│   ├── body_parser.cpp      # JSON/form body parsing
│   ├── response_pipeline.cpp# Response assembly
│   └── dependency_resolver.cpp # C++ DI graph resolution
├── third_party/
│   ├── llhttp/              # Node.js HTTP parser
│   ├── yyjson/              # Fast JSON (SIMD)
│   └── ryu/                 # Fast float→string (d2s)
└── CMakeLists.txt           # C++20, -O3 -march=native -flto

⚙️ Configuration

app = AstraAPI(
    title="My API",
    version="1.0.0",
    description="API description (Markdown supported)",
    docs_url="/docs",          # Swagger UI
    redoc_url="/redoc",        # ReDoc
    openapi_url="/openapi.json",
    root_path="/api/v1",       # For reverse proxy setups
)

app.run(
    host="0.0.0.0",
    port=8000,
    workers=4,         # Number of worker processes
    reload=False,      # Enable hot reload (dev only)
)

📚 Dependencies

Package Role
pydantic ≥ 2.7 Request/response validation and serialization
uvloop (Linux/macOS) High-performance asyncio event loop
winloop (Windows) High-performance asyncio event loop for Windows
orjson Fast JSON fallback for Python-side serialization
watchfiles File change detection for hot reload
annotated-doc Rich type annotation documentation

Optional (install via pip install astraapi[standard]): httpx, jinja2, python-multipart, email-validator, pydantic-settings, pydantic-extra-types


🤝 Contributing

See CONTRIBUTING.md for how to set up the development environment, build the C++ core, and run the test suite.


📄 License

MIT License — see LICENSE.


Made with ⚡ by Lumos Labs HQ · Inspired by FastAPI

Download files

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

Source Distribution

astraapi-0.1.17.tar.gz (1.5 MB view details)

Uploaded Source

Built Distributions

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

astraapi-0.1.17-cp314-cp314-win_amd64.whl (486.9 kB view details)

Uploaded CPython 3.14Windows x86-64

astraapi-0.1.17-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

astraapi-0.1.17-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

astraapi-0.1.17-cp314-cp314-macosx_14_0_arm64.whl (919.1 kB view details)

Uploaded CPython 3.14macOS 14.0+ ARM64

astraapi-0.1.17-cp313-cp313-win_amd64.whl (479.8 kB view details)

Uploaded CPython 3.13Windows x86-64

astraapi-0.1.17-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

astraapi-0.1.17-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

astraapi-0.1.17-cp313-cp313-macosx_14_0_arm64.whl (919.0 kB view details)

Uploaded CPython 3.13macOS 14.0+ ARM64

astraapi-0.1.17-cp312-cp312-win_amd64.whl (479.9 kB view details)

Uploaded CPython 3.12Windows x86-64

astraapi-0.1.17-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

astraapi-0.1.17-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

astraapi-0.1.17-cp312-cp312-macosx_14_0_arm64.whl (919.0 kB view details)

Uploaded CPython 3.12macOS 14.0+ ARM64

File details

Details for the file astraapi-0.1.17.tar.gz.

File metadata

  • Download URL: astraapi-0.1.17.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for astraapi-0.1.17.tar.gz
Algorithm Hash digest
SHA256 30d3f441dab7350564bdd4b0288eabe5580b6fb8152011072bb183438313fb43
MD5 1917765e0eb92c0d8b79f9cf640cd9a3
BLAKE2b-256 86f003641f075caa9d7dbce858141754b422bff54b625b71b7b155c240077796

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: astraapi-0.1.17-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 486.9 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for astraapi-0.1.17-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 958a7826df4d5e05abf266a1d60684eba530ddf636e3f3ddd0e552ff128482f6
MD5 16abe371733fc4c417dec8cd3c261bbd
BLAKE2b-256 851d65b58f18b2227af2a8c0f842a52ccbb164facbdadd2e61e5b67b04d01c0a

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a5560f1084441f95e80b0bc02264a8c9b125dcbbc711320b6fb680687cf286ef
MD5 f75b8a1757b585068342aaa2ba6acfa6
BLAKE2b-256 63d818f3419e540240608d6f2a5e0597bd58701b7e27c7b74101e31c064a7a65

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 072574e6fd26f7e92ac16be20af6ee67ead5c03f9ee1a2cc1d39ad7f5da0cc50
MD5 a2aac61b36a361c9779ad130e6f706e1
BLAKE2b-256 47f8bf043270cad89d825a87419dc0cb4b6780f5ee31f3b2d1081b5340aeb9bc

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp314-cp314-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp314-cp314-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 a19068dd2a9ab9043f7c8d1c975bce7e2eb563b06dd6bd29558f0e1dcf183d46
MD5 5a92d4fb5487634f9291c3f81eb3c9ed
BLAKE2b-256 b36f8367e7c6568a67f0836d5bd40faf2b8bbeaa08a3737a574d35d96e56e3b7

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: astraapi-0.1.17-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 479.8 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 astraapi-0.1.17-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 2ea447bcb8673b4d5a64ab80d513ba39c16338b2ae621f8b1b63b843259cf644
MD5 8f3115186096123fd3de603752a88bbf
BLAKE2b-256 ebdf7f618ff42e8f8d0fa2ad913792803fbc46770defd8bd97e6cd9d523eff83

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 218bc318df9f96de7ff050e4755c9ddf3c511dcd17c3a0ef30712c557fe2433d
MD5 a3e9cd880701d5d3bff0cb497f9f84c9
BLAKE2b-256 b287032892b5a77b52a1afd6d1d0c115930fdcac4613921602fb1c257f960540

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 7b5f55e5f5fac5b65c95f065f274a56114e363e3bfe9a99998ed116928c3bf60
MD5 03d65588e2a43933621fc53f27cbc5c3
BLAKE2b-256 d91292117252beb24e0ba7f3ae9af955b9b7ce9871658ce578081db63ce5a152

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp313-cp313-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp313-cp313-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 a8ef616d5acd4ab2f56df6e10c89353448dcf2df2ce046768dce40663abb2f0f
MD5 e588ff99eefa38253b6d6368fd926c92
BLAKE2b-256 781379f874535d1b2bb36dfb124be9483188d1cd8527cbaab6cb221b518f544b

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: astraapi-0.1.17-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 479.9 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 astraapi-0.1.17-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 958a9206444bede227948e9d6d11f58c3075d1a109a3c9a51828c12c267f457a
MD5 d25ed5285c320a1d2e1212dd95a2cb3e
BLAKE2b-256 159c810d3af153981aabb8aff40ddfdd699a7353d3d5b7caeb2b1bf0a5ec88ef

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e757f1541437fbb62cb6a6fa31d1249cddbde8e02a5a5eefb714e37fcfa9c193
MD5 d05621d932a7f4a8390b4270abfa1528
BLAKE2b-256 a17145d778768fe5cf02136e2fa399042ddc7dc5ffe7bb504a1571ddac6d3e4e

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 0c2d9eaa3a1f7160ca8aa41e457b6089cb1b694b7c63d826005dbd4749786f3e
MD5 1b1fb3adef8cb9d9115743cc0d49ab0d
BLAKE2b-256 b1a3159a85f9c3c35cbdc9a65b442672b5898e68bdd13b0fa5d285c656a6e8bf

See more details on using hashes here.

File details

Details for the file astraapi-0.1.17-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for astraapi-0.1.17-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 34a48db6feee51b502905da072266288c8b6778523740218fe127942dfef6f4a
MD5 b530da44f58e6d2452471033285c9915
BLAKE2b-256 625ffca472a6c43eae54bd91e1a0b114b8bd9bbdecde78a0610b32b61fb4f446

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