rust-py-monitor

High-performance Python monitoring library with a Rust core.

Collects CPU, memory, threads, and HTTP request metrics from Django and FastAPI applications with minimal overhead. Exports metrics to logs, JSON, and Prometheus.

Features

Process snapshot — CPU %, RSS memory, virtual memory, thread count, PID
FastAPI middleware — per-request latency, method, path, status code (errors recorded even when a handler raises)
Django middleware — same, for WSGI and ASGI Django apps
Aggregator — total requests, error count, error rate, avg/min/max/p50/p95/p99 latency
Bounded store — request history is a capped ring buffer (default 10k) — constant memory under any traffic
Multi-worker aggregation — opt-in shared store merges metrics across gunicorn/uvicorn workers (RPY_MULTIPROC_DIR)
Prometheus exporter — /metrics endpoint compatible with Prometheus scraper
Rust core — collection and aggregation happen in Rust via PyO3; Python API stays simple

Requirements

Python 3.10+
No mandatory runtime dependencies

Optional, installed separately:

fastapi + starlette — for MonitorMiddleware and make_fastapi_router()
django — for MonitorMiddleware and django_metrics_view

Installation

pip install rust-py-monitor

With optional extras:

pip install "rust-py-monitor[fastapi]"
pip install "rust-py-monitor[django]"
pip install "rust-py-monitor[fastapi,django,prometheus]"

Quick Start

import rust_py_monitor

# Process snapshot
m = rust_py_monitor.snapshot()
print(m)
# Snapshot(pid=1234, cpu=0.3%, rss=45.2MB, virt=512.0MB, threads=4, ts=1718000000)

print(m.pid)            # 1234
print(m.memory_rss_mb)  # 45.2
print(m.to_dict())      # {"pid": 1234, "cpu_percent": 0.3, ...}

# Aggregated request metrics
stats = rust_py_monitor.aggregate()
print(stats.total_requests)  # 0 (no middleware active yet)
print(stats.p95_latency_ms)  # 0.0

FastAPI

Middleware

from fastapi import FastAPI
from rust_py_monitor.fastapi import MonitorMiddleware

app = FastAPI()
app.add_middleware(MonitorMiddleware)


@app.get("/")
async def root():
    return {"status": "ok"}

Prometheus endpoint

from fastapi import FastAPI
from rust_py_monitor.fastapi import MonitorMiddleware
from rust_py_monitor.prometheus import make_fastapi_router

app = FastAPI()
app.add_middleware(MonitorMiddleware)
app.include_router(make_fastapi_router())          # GET /metrics
# app.include_router(make_fastapi_router("/prom")) # custom path

Inspect metrics programmatically

import rust_py_monitor

stats = rust_py_monitor.aggregate()
print(f"Requests: {stats.total_requests}")
print(f"Errors:   {stats.total_errors} ({stats.error_rate:.1f}%)")
print(f"p95:      {stats.p95_latency_ms:.1f}ms")
print(f"p99:      {stats.p99_latency_ms:.1f}ms")

for req in rust_py_monitor.get_requests()[-5:]:
    print(req)
    # RequestMetric(GET /api/users 200 12.34ms)

Django

Middleware

# settings.py
MIDDLEWARE = [
    "rust_py_monitor.django.MonitorMiddleware",
    # ... other middlewares ...
]

Prometheus endpoint

# urls.py
from django.urls import path
from rust_py_monitor.prometheus import django_metrics_view

urlpatterns = [
    path("metrics/", django_metrics_view),
    # ...
]

The middleware supports both WSGI and ASGI Django applications automatically.

Prometheus Output

GET /metrics returns:

# HELP rpy_requests_total Total HTTP requests recorded
# TYPE rpy_requests_total counter
rpy_requests_total 1024

# HELP rpy_errors_total Total HTTP errors (status >= 400)
# TYPE rpy_errors_total counter
rpy_errors_total 12

# HELP rpy_error_rate_percent HTTP error rate as a percentage
# TYPE rpy_error_rate_percent gauge
rpy_error_rate_percent 1.171875

# HELP rpy_latency_p95_ms P95 request latency in milliseconds
# TYPE rpy_latency_p95_ms gauge
rpy_latency_p95_ms 47.3

# HELP rpy_process_memory_rss_bytes Process RSS memory in bytes
# TYPE rpy_process_memory_rss_bytes gauge
rpy_process_memory_rss_bytes 52428800

# ... (13 metrics total)

Content-Type: text/plain; version=0.0.4; charset=utf-8

API Reference

`rust_py_monitor.snapshot() → Snapshot`

Captures a point-in-time snapshot of the current process.

Property	Type	Description
`pid`	`int`	Process ID
`cpu_percent`	`float`	CPU usage (0–100 × cores). First call may return 0.0.
`memory_rss`	`int`	Resident Set Size in bytes
`memory_rss_mb`	`float`	RSS in megabytes (convenience)
`memory_virtual`	`int`	Virtual memory in bytes
`threads`	`int`	Thread count (0 on macOS/Windows)
`timestamp`	`int`	Unix timestamp in seconds
`to_dict()`	`dict`	All fields as a plain dict

`rust_py_monitor.aggregate() → AggregatedMetrics`

Computes statistics over all requests recorded since startup (or last clear_requests()).

Property	Type	Description
`total_requests`	`int`	Total request count
`total_errors`	`int`	Requests with status ≥ 400
`error_rate`	`float`	`total_errors / total_requests × 100`
`avg_latency_ms`	`float`	Mean latency
`min_latency_ms`	`float`	Minimum latency
`max_latency_ms`	`float`	Maximum latency
`p50_latency_ms`	`float`	Median latency
`p95_latency_ms`	`float`	95th percentile latency
`p99_latency_ms`	`float`	99th percentile latency
`to_dict()`	`dict`	All fields as a plain dict

`rust_py_monitor.get_requests() → list[RequestMetric]`

Returns all recorded requests. Each RequestMetric has:

Property	Type
`method`	`str`
`path`	`str`
`status_code`	`int`
`duration_ms`	`float`
`timestamp`	`int`
`to_dict()`	`dict`

`rust_py_monitor.metrics_text() → str`

Returns all metrics in Prometheus text exposition format (v0.0.4).

`rust_py_monitor.clear_requests()`

Clears the request store. Useful for testing and periodic resets.

`rust_py_monitor.set_max_requests(n)` / `get_max_requests() → int`

The request store is a bounded ring buffer (default capacity 10 000). Once full, the oldest entries are evicted first, so memory never grows without bound. Use these to tune the retention window.

Multi-worker deployments (gunicorn / uvicorn)

By default each worker process keeps its own in-memory store. A Prometheus scrape of /metrics reaches only one worker, so the numbers would reflect just that worker's traffic.

Set the RPY_MULTIPROC_DIR environment variable to a writable directory to enable shared aggregation. Each worker writes a small fixed-size shard file (rpy-<pid>.shard); aggregate() and metrics_text() then merge all live workers' shards at read time. Shards of dead workers are pruned automatically.

export RPY_MULTIPROC_DIR=/tmp/rpy-metrics
gunicorn -w 4 myapp:app

You can also configure it at runtime:

import rust_py_monitor
rust_py_monitor.set_multiproc_dir("/tmp/rpy-metrics")
rust_py_monitor.multiproc_enabled()   # True
rust_py_monitor.get_multiproc_dir()   # "/tmp/rpy-metrics"

Notes:

Counters (total_requests, total_errors) and latency histogram buckets are summed across workers. Latency percentiles (p50/p95/p99) are therefore approximated from the merged histogram rather than computed exactly.
get_requests() always returns the local process's recent requests only.
Process metrics (CPU/memory/threads) reflect the worker that served the scrape.

Roadmap

rust-py-monitor is mature (v0.2.0): process snapshots, FastAPI/Django middlewares, the latency aggregator, the bounded ring-buffer store, multi-worker aggregation, and the Prometheus exporter are shipped. Directional ideas under consideration (simple CPU/memory alerts, GC metrics, per-route labeled metrics, more exporters/sinks, a Flask middleware) are tracked in ROADMAP.md.

Building from Source

Requires Rust and maturin.

pip install maturin
git clone https://github.com/robertolima-dev/rust-py-monitor
cd rust-py-monitor

# Development build (installs into current Python environment)
maturin develop

# Release wheel
maturin build --release

Running tests

# Rust unit tests
cargo test

# Python integration tests
pip install pytest pytest-asyncio httpx fastapi django
pytest tests/

Architecture

Python API (rust_py_monitor)
    ├── snapshot()          ──► src/snapshot.rs   (sysinfo crate)
    ├── aggregate()         ──► src/aggregator.rs (pure Rust math)
    ├── get_requests()      ──► src/request_metrics.rs (static Mutex<VecDeque>, bounded)
    ├── metrics_text()      ──► src/prometheus.rs (text formatter)
    ├── set_multiproc_dir() ──► src/multiproc.rs  (mmap shard per worker)
    │
    ├── fastapi.MonitorMiddleware  ──► record_request() ──► Rust store
    ├── django.MonitorMiddleware   ──► record_request() ──► Rust store
    └── prometheus.make_fastapi_router() / django_metrics_view

The Rust core is compiled to a native .so / .pyd extension module by maturin and PyO3. The Python layer is thin — it just routes calls and provides framework-specific adapters.

License

MIT — see LICENSE.

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SHA256	`5808cc28d3bcda796b7fe9ece2c12ee938147095f4e0271070e6e90cfefa175e`
MD5	`26db39d613b2d81fb819417fd78fa469`
BLAKE2b-256	`c9ff473b4ef59ea26473f57e907baac5c356bdc90744ae4080d47c1355a16454`

Algorithm	Hash digest
SHA256	`99a54036f99e85069028554d33a3ca83e5642b637b2024feba3624a21d6a1a79`
MD5	`5ad51d8b530b5aa8feabf8f72f299516`
BLAKE2b-256	`6758a0524e0691b5717ece651b11477bf493c596481f32cf888e7d1e0d2b8505`

Algorithm	Hash digest
SHA256	`9cb79e74e43ca809557dec5187863b23283543bee545129da5bd87ea72757c95`
MD5	`3ce14d8d233038d1d2f2ca682e4bcf1a`
BLAKE2b-256	`19165cfca82f17d14fb63affc98837bd9e782cb88c288cc4c1a7f22296b3455c`

Algorithm	Hash digest
SHA256	`d47d04afa0af3b54ba8356172845618615c5db330efd7194588d9bedc2623eba`
MD5	`97c8b5d7734643c56bee09034501888a`
BLAKE2b-256	`ddf8e13a965f54adc72cb2bf3b6b53d6816d981515aa49ba9fa1bf0959179fcd`

Algorithm	Hash digest
SHA256	`642deae4a2256b211eb1643f23f78b98be24ebeb6b6da0ae6e71f6fcfe26b600`
MD5	`2217c68134db7664caac56554646a5e8`
BLAKE2b-256	`396c7b676a0b2dfe3e9757f875f8d38e105039ec9a3defa72c030f7dce0fabae`

Algorithm	Hash digest
SHA256	`24420fb38ff4ae8b733815c5f4347e542e0d66f7d07deb107c4a943c999153fa`
MD5	`d34b8429c92380935d1d373703760a47`
BLAKE2b-256	`c9fc5be786599b3f5613d39679da7aa422fc289d0c03ea8c25bff6fa9cfb8749`

rust-py-monitor 0.2.1

rust-py-monitor

Features

Requirements

Installation

Quick Start

FastAPI

Middleware

Prometheus endpoint

Inspect metrics programmatically

Django

Middleware

Prometheus endpoint

Prometheus Output

API Reference

rust_py_monitor.snapshot() → Snapshot

rust_py_monitor.aggregate() → AggregatedMetrics

rust_py_monitor.get_requests() → list[RequestMetric]

rust_py_monitor.metrics_text() → str

rust_py_monitor.clear_requests()

rust_py_monitor.set_max_requests(n) / get_max_requests() → int

Multi-worker deployments (gunicorn / uvicorn)

Roadmap

Building from Source

Running tests

Architecture

License

Key dates

1 maintainer

Credits

License

Requires

Tags

Classifiers

Download files

Source Distribution

Built Distributions

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`rust_py_monitor.snapshot() → Snapshot`

`rust_py_monitor.aggregate() → AggregatedMetrics`

`rust_py_monitor.get_requests() → list[RequestMetric]`

`rust_py_monitor.metrics_text() → str`

`rust_py_monitor.clear_requests()`

`rust_py_monitor.set_max_requests(n)` / `get_max_requests() → int`

Algorithm	Hash digest
SHA256	`608b760c1f6edbddf530ff5b4efbc7019980c7ae8f0485e784f22f9a8cfb8745`
MD5	`a2fd718d75795c7185d12125cc35d386`
BLAKE2b-256	`165978602a64ca853146ce5cb03eb6caab8b0002bafa07477b4f40dd3fa449f8`

Algorithm	Hash digest
SHA256	`3baeb5c9fdfb0c5b4cf259d9f2ba2beccc7b85551a1234755c2731038da0aada`
MD5	`372b16c7953df7f2fe6427af789b9ee9`
BLAKE2b-256	`f8e3d9b17249a61b952374a73928321609a9877fca18a0cb13bf462b2fe2a6df`

Algorithm	Hash digest
SHA256	`ff844a35a195a519a74ba53e88115f4159b80a17af13f08b7be4ceb0aded80c5`
MD5	`3c598287abef0fac7067e0b2252b9deb`
BLAKE2b-256	`ef9f837f7b191a7b2d348d09d9f35a746812904862ba1c6c29cadb778613cce7`

Algorithm	Hash digest
SHA256	`88cc4a1a5df7b1c4c4f5b27d6a388e87892b852900ca4791708eafc55916cc13`
MD5	`e4c5c1cd76331394d30c2b6fdc209548`
BLAKE2b-256	`3c39844b27d47a73addb8e2f83256abc5f14e8cafff47e0c080a4c1f4315ff92`

Algorithm	Hash digest
SHA256	`50994f8958be446db694fcf20b6167c32c562943526070e97bd1382218d61df8`
MD5	`67790332601ee1b6f7fa6b78f5802a0a`
BLAKE2b-256	`24d1a90c7c5b19c6a76f9b48f9b9502349b4cd9cb7c4f77985ed18e3c10041c4`

Algorithm	Hash digest
SHA256	`c10a2663221b6dd3ed109d546cc88366909c7aa6547772e8f644a8a3c9f3224f`
MD5	`2c0587e76400dcc867e1eb0e76a5892e`
BLAKE2b-256	`abee69e69bcb6aa07311f5dcd5976a4904ca0045979a6aaec5a48a6773896ee1`

Algorithm	Hash digest
SHA256	`877908a50174a6273c0882dc1dc8cc529f168d7a6f2311f651e0c64ea433322f`
MD5	`538c006618126ddef94e983991a655c5`
BLAKE2b-256	`c4367ee9201f278248d158ec900ebb47bcd1e827ab6763b2101733ee5ef94b19`

Algorithm	Hash digest
SHA256	`5775ebb5272ceadc7c839cb7a80999a65d382592714233571280f05594f03a96`
MD5	`bbf0f32eb0742a5673bdf8cde40ab967`
BLAKE2b-256	`f4b19ad64cd7671f53cb5677c3307369200677d13c4b82f6ab6a9ff155ce2b31`

Algorithm	Hash digest
SHA256	`02ce9c7c6a322f3e0dabd84306e23e23ccb0f98ac486a06bf017fa8b82777c3c`
MD5	`f31cfb3c37836045a4ca86c9d6c16b3c`
BLAKE2b-256	`2729abe229ad13bb791fe041dc32709bcc68c521197ebc3e042fa2b3eed24847`

Algorithm	Hash digest
SHA256	`aea870d7d2a0ebda964968549d2aef86675357d4f866d954e7d58dee45bee362`
MD5	`8e8eb1e6ecbec018ba15589f1d9f0133`
BLAKE2b-256	`f5bc23cf2656692727092f9575354b3825d7333174146923d6b411e209f4a09b`