logly

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A Rust-powered, high-performance logging library for Python.

Documentation | API Reference | Quick Start | Contributing

A Rust-powered, high-performance logging library for Python with structured sinks, custom levels, rotation, compression, and telemetry integrations.

[!NOTE] This project is under active development. If you encounter any issues, bugs, or have feature requests, please open an issue on GitHub. Contributions are welcome!

If you love logly, make sure to give it a star!

Table of Contents (click to expand)

Installation
- pip
- uv
- From Source
Quick Start
Custom Levels
Usage Examples
Log Levels
Features
Architecture
Building from Source
Documentation
Contributing
Acknowledgements
License
Links

Features of Logly (click to expand)

Feature	Description	Documentation
Rust-native engine	High-performance logging via PyO3 with zero unsafe Rust	Docs
10 built-in levels	TRACE, DEBUG, INFO, NOTICE, SUCCESS, WARNING, ERROR, FAIL, CRITICAL, FATAL	Docs
Custom levels	Define your own levels with custom priorities and colors	Docs
Multiple sinks	Console, file, callable, and network outputs simultaneously	Docs
File rotation	Size-based, time-based, clock-based, and weekday rotation	Docs
Compression	gzip, zip, bz2, xz, zstd with tar-compatible aliases	Docs
JSON logging	Structured JSON output with file, line, function, module fields	Docs
Context binding	Attach persistent key-value pairs to logs	Docs
Exception catching	`catch()` decorator and context manager	Docs
Background workers	Non-blocking writes with `enqueue=True`	Docs
Async sinks	Async functions, class-based async callables, functools.partial	Docs
Rich markup	Parse `<tag>` and `[tag]` syntax into ANSI escape codes	Docs
Batch HTTP sink	Rust-native batched HTTP JSON for high-throughput logging	Docs
Network sinks	HTTP, TCP, UDP, Syslog (RFC 3164/5424)	Docs
Source location	Automatic capture of file, line, function, module	Docs
40+ integrations	FastAPI, Django, Flask, Rich, Redis, Kafka, and more	Docs
Thread-safe	Safe concurrent logging from multiple threads	Docs
Color themes	Custom ANSI color themes per level	Docs
Independent loggers	Separate sink sets per logger instance	Docs

Prerequisites

Requirement	Version	Notes
Python	3.10+	Download from python.org
Rust	Latest stable	Only needed for building from source
Operating System	Linux, macOS, Windows	Cross-platform support

Installation

Quick Install

pip install logly
# or
uv add logly

[!TIP] Install with optional extras for integrations: pip install "logly[rich,fastapi]"

All Optional Extras (42 integrations)

# Core
pip install logly                            # core only (no optional deps)

# Frameworks & Libraries
pip install "logly[rich]"                    # Rich console output
pip install "logly[fastapi]"                 # FastAPI middleware
pip install "logly[starlette]"               # Starlette middleware
pip install "logly[django]"                  # Django handler + middleware
pip install "logly[flask]"                   # Flask handler
pip install "logly[gunicorn]"                # Gunicorn worker hooks
pip install "logly[uvicorn]"                 # Uvicorn log config
pip install "logly[sqlalchemy]"              # SQLAlchemy query logging
pip install "logly[structlog]"               # Structlog processor
pip install "logly[celery]"                  # Celery task logging
pip install "logly[click]"                   # Click CLI output
pip install "logly[typer]"                   # Typer CLI output
pip install "logly[apscheduler]"             # APScheduler job logging
pip install "logly[rq]"                      # RQ worker logging
pip install "logly[pydantic]"                # Pydantic log handler
pip install "logly[tqdm]"                    # tqdm progress bar sink

# Monitoring & Observability
pip install "logly[opentelemetry]"           # OpenTelemetry export
pip install "logly[prometheus]"              # Prometheus metrics
pip install "logly[elasticsearch]"           # Elasticsearch indexing
pip install "logly[sentry]"                  # Sentry error tracking
pip install "logly[datadog]"                 # Datadog Logs API (stdlib)
pip install "logly[newrelic]"                # New Relic agent
pip install "logly[seq]"                     # Seq structured logs (stdlib)
pip install "logly[telemetry]"               # Generic telemetry (stdlib)

# Cloud Providers
pip install "logly[aws]"                     # AWS CloudWatch Logs
pip install "logly[gcloud]"                  # Google Cloud Logging
pip install "logly[azure]"                   # Azure Monitor

# Data Stores
pip install "logly[redis]"                   # Redis lists/streams
pip install "logly[kafka]"                   # Kafka topics (requires librdkafka)
pip install "logly[mongodb]"                 # MongoDB collections
pip install "logly[postgresql]"              # PostgreSQL tables
pip install "logly[rabbitmq]"                # RabbitMQ queues

# Log Aggregation
pip install "logly[logstash]"                # Logstash TCP/UDP (stdlib)
pip install "logly[graylog]"                 # Graylog GELF (stdlib)
pip install "logly[loki]"                    # Grafana Loki

# Notifications
pip install "logly[discord]"                 # Discord webhooks (stdlib)
pip install "logly[slack]"                   # Slack webhooks (stdlib)
pip install "logly[email]"                   # Email via SMTP (stdlib)
pip install "logly[http]"                    # HTTP endpoint (stdlib)

# Utilities
pip install "logly[compression]"             # Zstandard compression

# Everything
pip install "logly[all]"                     # all of the above

Several integrations (datadog, seq, logstash, graylog, discord, slack, email, http, telemetry) use only Python stdlib and require no extra dependencies.

The kafka extra requires librdkafka to be installed on your system. See Kafka integration docs for details.

uv Install Commands

# Core
uv add logly

# Frameworks & Libraries
uv add "logly[rich]"
uv add "logly[fastapi]"
uv add "logly[starlette]"
uv add "logly[django]"
uv add "logly[flask]"
uv add "logly[gunicorn]"
uv add "logly[uvicorn]"
uv add "logly[sqlalchemy]"
uv add "logly[structlog]"
uv add "logly[celery]"
uv add "logly[click]"
uv add "logly[typer]"
uv add "logly[apscheduler]"
uv add "logly[rq]"
uv add "logly[pydantic]"
uv add "logly[tqdm]"

# Monitoring & Observability
uv add "logly[opentelemetry]"
uv add "logly[prometheus]"
uv add "logly[elasticsearch]"
uv add "logly[sentry]"
uv add "logly[datadog]"
uv add "logly[newrelic]"
uv add "logly[seq]"
uv add "logly[telemetry]"

# Cloud Providers
uv add "logly[aws]"
uv add "logly[gcloud]"
uv add "logly[azure]"

# Data Stores
uv add "logly[redis]"
uv add "logly[kafka]"
uv add "logly[mongodb]"
uv add "logly[postgresql]"
uv add "logly[rabbitmq]"

# Log Aggregation
uv add "logly[logstash]"
uv add "logly[graylog]"
uv add "logly[loki]"

# Notifications
uv add "logly[discord]"
uv add "logly[slack]"
uv add "logly[email]"
uv add "logly[http]"

# Utilities
uv add "logly[compression]"

# Everything
uv add "logly[all]"

From Source

git clone https://github.com/muhammad-fiaz/logly.git
cd logly
uv sync
uv run maturin develop

Quick Start

from logly import logger

logger.trace("Detailed trace")
logger.debug("Debug info")
logger.info("Application started")
logger.notice("Notice message")
logger.success("Operation completed!")
logger.warning("Warning message")
logger.error("Error occurred")
logger.fail("Operation failed")
logger.critical("Critical system error!")
logger.fatal("Fatal system failure!")

logger.complete()

Custom Levels

from logly import logger

# Register a custom level with icon and color
logger.level("HTTP", no=21, color="blue", icon=">")
logger.level("DATABASE", no=22, color="magenta", icon="*")
logger.level("SECURITY", no=35, color="red", icon="!")

# Log with custom levels
logger.log("HTTP", "GET /api/users")
logger.log("DATABASE", "Connected to PostgreSQL")
logger.log("SECURITY", "Authentication failed")

# Use icon in format strings
sink_id = logger.add(
    lambda msg: print(msg, end=""),
    format="{level_icon} {level} | {message}",
    level="TRACE",
)
logger.log("HTTP", "GET /api/users")
logger.remove(sink_id)
# Output: > HTTP | GET /api/users

Usage Examples

File Logging

from logly import logger

logger.add(
    "logs/app.log",
    level="INFO",
    rotation="daily",
    retention="30 days",
    compression="gzip",
)

logger.info("Application started")
logger.complete()

Context Binding

from logly import logger

user_logger = logger.bind(user_id="12345", request_id="abc-789")
user_logger.info("User logged in")
# Output includes: user_id=12345 request_id=abc-789

Exception Catching

from logly import logger

with logger.catch():
    risky_operation()

# With options
with logger.catch(exclude=ValueError, onerror=lambda e: print(f"Failed: {e}")):
    dangerous_call()

Multiple Sinks

from logly import logger

logger.add("app.log", level="DEBUG", rotation="daily")
logger.add("errors.log", level="ERROR", retention="90 days")
logger.add("stdout", level="INFO", colorize=True)

logger.info("All three sinks receive this")

Independent Loggers

Use Logger() when a subsystem needs a separate set of sinks that does not write to the global logger.

from logly import Logger

api_logger = Logger()
worker_logger = Logger()

api_logger.add("api.log", level="INFO")
worker_logger.add("worker.log", level="DEBUG")

api_logger.info("request accepted")
worker_logger.debug("job claimed")

Lazy Evaluation

from logly import logger

logger.opt(lazy=True).debug("Result: {}", lambda: expensive_computation())

Async Sinks

import asyncio
from logly import logger


# Async function sink
async def cloud_sink(message: str) -> None:
    await send_to_cloud(message)


# Async class-based sink
class AsyncDBSink:
    def __init__(self, db_url: str):
        self.db_url = db_url

    async def __call__(self, message: str) -> None:
        await insert_into_db(self.db_url, message)


async def main():
    logger.add(cloud_sink, level="WARNING")
    logger.add(AsyncDBSink("postgresql://localhost/logs"), level="ERROR")
    logger.warning("Sent to cloud")
    logger.error("Sent to both cloud and database")
    logger.complete()


asyncio.run(main())

Rich Markup

from logly import logger, parse_rich_markup

# Loguru-style angle bracket syntax
logger.info("<bold>Important</bold> message")
logger.error("<red>Error:</red> something went wrong")
logger.info("<bold, cyan>Combined styles</bold, cyan>")

# Rich-style bracket syntax
logger.info("[red]Error[/red] occurred")
logger.info("[bold green on white]Success[/bold green on white]")

# Parse markup manually
text = parse_rich_markup("<bold>hello</bold>", colorize=True)

Batch HTTP Sink

from logly import BatchHttpJsonSink, logger

sink = BatchHttpJsonSink(
    url="https://logs.example.com/ingest",
    batch_size=100,
    flush_interval=5.0,
    headers={"Authorization": "Bearer token"},
)

logger.add(sink, level="INFO")
logger.info("This will be batched and sent efficiently")

For more examples, see the documentation.

Log Levels

Level	Priority	Method	Use Case
TRACE	5	`logger.trace()`	Very detailed debugging
DEBUG	10	`logger.debug()`	Debugging information
INFO	20	`logger.info()`	General information
NOTICE	25	`logger.notice()`	Notice messages
SUCCESS	30	`logger.success()`	Successful operations
WARNING	40	`logger.warning()`	Warning messages
ERROR	50	`logger.error()`	Error conditions
FAIL	55	`logger.fail()`	Operation failures
CRITICAL	60	`logger.critical()`	Critical system errors
FATAL	70	`logger.fatal()`	Fatal system errors

Architecture

Logly is built as a modular Rust workspace with a thin PyO3 binding:

Crate	Purpose
`error`	Error types and conversions
`config`	Configuration data structures
`levels`	Log level definitions and registry
`record`	Log record builder
`color`	ANSI color engine and themes
`format`	Template, JSON, and custom formatters
`filter`	Level, prefix, extra, and chain filters
`rotate`	File rotation policies and execution
`compress`	Compression codecs (gzip, zip, bz2, xz, zstd)
`concurrency`	Background workers and thread pool
`schedule`	Scheduled tasks and scheduler
`context`	Bound context, scoped context, patchers
`sink`	Sink trait and built-in implementations
`core`	Logger engine dispatch
`network`	HTTP, TCP, UDP, Syslog sinks
`source`	Caller frame inspection

Building from Source

Tool	Version	Purpose
Rust	Latest stable	Compile the native engine
Python	3.10+	Runtime and build scripts
uv	Latest	Package manager (recommended)
Maturin	1.x	Build backend for PyO3 wheels

# Install uv (if not already installed)
pip install uv

# Build the extension in development mode
uv run maturin develop

# Run Python tests
uv run pytest

# Run Rust tests
cargo test --workspace

# Lint
uv run ruff check .
cargo clippy --workspace --all-targets -- -D warnings

Documentation

Full documentation is available at: https://muhammad-fiaz.github.io/logly

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Acknowledgements

Logly's Python API is inspired by Loguru and backed by an independent, from-scratch Rust implementation.

License

This project is licensed under the MIT License.

Links

Documentation: https://muhammad-fiaz.github.io/logly
PyPI: https://pypi.org/project/logly/
Repository: https://github.com/muhammad-fiaz/logly
Issues: https://github.com/muhammad-fiaz/logly/issues

all apscheduler aws azure celery click compression discord django elasticsearch fastapi flask gcloud gunicorn kafka mongodb newrelic opentelemetry postgresql prometheus pydantic rabbitmq redis rich rq sentry slack sqlalchemy starlette structlog tqdm typer uvicorn

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SHA256	`2f0991b90bf9482142f3fef242aa87f9c864ae22c1560a337c7b7f27c2b9c113`
MD5	`51d7780f1cb3a301e78af05175cfb7e6`
BLAKE2b-256	`b4e7c9b1e4506f3704deb56ae82b03e45394e56d72c900ff785156b5eeb928e3`

Algorithm	Hash digest
SHA256	`fb3bb5b5c55825867c49d65c26d8c3c24db42a99b7ab08dd8fda8e3838ea37ff`
MD5	`3ec782ab02a3dd91ee8ba2ea702f9f94`
BLAKE2b-256	`d80aaa3e3a642f9db6cd6cf9e6e9db3c6ed1f137e912a4965fd91619d2903e1c`

Algorithm	Hash digest
SHA256	`3c0ffc11c23838118f633e1414edbc73c3c2535a1623de5db28d9ed01d833b25`
MD5	`5275a88396ae41bedf97fa3e4ad35cfb`
BLAKE2b-256	`b8cf8aaa584bb4bce4043ebed0f6406297f229abdb8d5a854139a3c19c7f54cb`

Algorithm	Hash digest
SHA256	`529debf003228ab65276fee9d736ddab3a17b268c0a551b80ded5c07a4e32941`
MD5	`7f23561bf7516ea887329655bef5a753`
BLAKE2b-256	`7f577bbff1ad62eebb22e8f2dd9dc0f5a1007891d3f91528c0228b4f14e65c11`

Algorithm	Hash digest
SHA256	`9d496d6b901607d9c20ef6f78a125329e261a8ae4be9fc9eb2765c1180c3d34f`
MD5	`3d2333c556c2928f689b17697322a452`
BLAKE2b-256	`e76cea6d8762d11a4717811b5931622a4774d5078b43b53460984dac692d2a31`

Algorithm	Hash digest
SHA256	`8de797fae8bb66cde292c625e4d7a14c6565405608e14c7341c36b2e44f76aa4`
MD5	`cd4915f1ed869fdd58fc39340bf22128`
BLAKE2b-256	`0cb33a35470a360d82e9e81ae3ff4803b9fc207a9ba8e94e8f8f71af2a5bd08a`

Algorithm	Hash digest
SHA256	`2c2ec49fafdb3c1dd0ad2a85b6037014eff7c0e414ec5808a1d74cd8f3201117`
MD5	`eb428aee6e3cbf9c5eabc9b5873b2207`
BLAKE2b-256	`6a8d3fb85ba6f3939c600e943f3124620bfae346be44ce60e18b4be9c350799a`

Algorithm	Hash digest
SHA256	`b6ed4851e5eb3afc28f338279a4821b6a2d054584819d2a9612505668a1acc99`
MD5	`d12dfb813400e2374c913ae6365e29dd`
BLAKE2b-256	`297880c1d10e4786a91ade7e3fab9daf039a47a345ba88909bfebb5b34159409`

Algorithm	Hash digest
SHA256	`c496f595c08782a0fc67f8a5c8e2d2f74a4a0ff8b4eac2fba3d7cb1acaa7a398`
MD5	`b590cea14941fbc9c344946b179aac96`
BLAKE2b-256	`265ac0211f9216f31e6743c6293337fe8de7807141efe33f9d7792a8fa639a82`

Algorithm	Hash digest
SHA256	`65258f8b974fcd355c0577a2a870e08af451f71aa233933dab03076e7d541756`
MD5	`d3fc328386572fe6b1516fe623258b96`
BLAKE2b-256	`64f2bb9d968340a30522f48a550deb1f5c4c3d63ed77d8dd7a9830322ee0d39a`

Algorithm	Hash digest
SHA256	`3d1b2936d999c54810518285b76c3386da24688c8b1967ca9d664d8228d9c44c`
MD5	`3e38be4f30b2b3fcb65472368c4f00ae`
BLAKE2b-256	`da87bb26a0898b3fadac606fd2c794dbc484a70d535913fc96e6d5df08bab36c`

Algorithm	Hash digest
SHA256	`4b1671eb7be276409d3f2c27bfbcf5d8dd6cebeb929e9b38e503fd8ed66b1f02`
MD5	`543c719b1edf59f7fbe6e13cad2cd99e`
BLAKE2b-256	`3c4661ccbac9e435eeab9eaea0f0a8def798bab95979e35827a1835782f186a9`

Algorithm	Hash digest
SHA256	`b16487a4a3f17bf5219ae03e75b0ca2b368d95c1e4dbc34c522e4c98c3fd9e86`
MD5	`b884264d07466ec809b0b0b4d21317cf`
BLAKE2b-256	`e6952a0ea0a9dd5824d73241bee6f811168a406a0afc2d265f37a1debae597bd`

Algorithm	Hash digest
SHA256	`cc0831a3d027ab2aea72fd606d13993739f062a5a50f53dc293c1605bb07aa08`
MD5	`022492d76b9618fdaff3148b4ed61f37`
BLAKE2b-256	`ced552fd0e63c4f2265a88fd67e0960277c53a86b3d4aa7d908c290bc22460cf`

logly 0.2.2

Prerequisites

Installation

Quick Install

From Source

Quick Start

Custom Levels

Usage Examples

File Logging

Context Binding

Exception Catching

Multiple Sinks

Independent Loggers

Lazy Evaluation

Async Sinks

Rich Markup

Batch HTTP Sink

Log Levels

Architecture

Building from Source

Documentation

Contributing

Acknowledgements

License

Links

Key dates

1 maintainer

Credits

Requires

Provides Extra

Download files

Source Distribution

Built Distributions

File details

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File hashes

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Algorithm	Hash digest
SHA256	`c744993c3a21611deb2336130d66eaf0b49822fe637a89006e2f48e89710b5c2`
MD5	`8177dc63440b7094c8ecf47fdca1fbbb`
BLAKE2b-256	`868704208e7d8d138fbf699c6e97af7bbdff013a86a25ee820ce5fa0e22fc841`

Algorithm	Hash digest
SHA256	`14a0509701af670556355d1d3f78fb7fc935017ee2e9fd10784fd93818ba5573`
MD5	`7cca89761a912b72b3fac99cfafb785a`
BLAKE2b-256	`01d2ca0ee13085203065f0291511e18b84be2d6b9e410684a2692700a256bb24`

Algorithm	Hash digest
SHA256	`aee1a2a4d25334f0cd55c250b12d94add859fc75309b69783c06169c9579ea90`
MD5	`635b17ab0a90b3cd38befde6c174b4a3`
BLAKE2b-256	`dac0d937cc196ee92b2dec04a2e601de334d5a224c4833274fbf11a39343c1c8`

Algorithm	Hash digest
SHA256	`ade27f9c2ac5e92763229acd83e9748865391b18fd71397d6b3b3e7f81fe69ae`
MD5	`84218298560fe64a0478948eaef1f394`
BLAKE2b-256	`83219634f0701b3ce2fc858020051dbd1cb32de0407f36ebab7a99f0514b32d3`

Algorithm	Hash digest
SHA256	`0c33c25ded60d70b2ef2372348407fe08157577862082d59805fc890f5436df1`
MD5	`d57658d2a8a660b60935ead82ea5726c`
BLAKE2b-256	`8845ea48c65a6b54914a3d0e7e09b5f8bc45cdfe407ef3f296218d53bbca4d06`

Algorithm	Hash digest
SHA256	`1a9f6564e09d55bcbde76687959d4ec6bb3956de6ae85b72920179db198082c8`
MD5	`e291d14ad52df5d1fe02d05254b749b7`
BLAKE2b-256	`1fd81a943678024d41cd28f3c4486b1c6749a0997ffc0fe1962d7085782ce50c`

Algorithm	Hash digest
SHA256	`0d48d5670c11ffaa20aaca9f7c4fa835f7373dd2ad8952a1f5aa8dd92cc2662c`
MD5	`4f5c76eabbc9bc64a2d30358f31483ae`
BLAKE2b-256	`878b43a3ed699febcc36dba7c0528484eb4253d53753c686a74c61b8f37fc1e3`

Algorithm	Hash digest
SHA256	`58cea7e5b5ddc42f27cfdb19a27016d68930ae0ef2fe5327112b2905ec5902ea`
MD5	`b5a637332af3a6e00dd129a04f5fe8ac`
BLAKE2b-256	`50855170525d3bdd84e06c312f157d4f61ca58e6b18cef0d263498bf668bc4d6`

Algorithm	Hash digest
SHA256	`ed3093ad391e748b80591d8992932db6afa3ead154d038cf9796fd9ecb19b919`
MD5	`aeb84a261bea06fd7d8b76715ec6e47a`
BLAKE2b-256	`ff2d41fa55dc8935f6656be38d73d7d89b40b5445d174fdfab18a90b62095c9b`

Algorithm	Hash digest
SHA256	`e3f5b43ca583715f25a87e8a6cf4c66ba33dd884f7d136be3f87f260fcca236c`
MD5	`e1237ab1a3dd3bbdbde82acb7cd55f19`
BLAKE2b-256	`441f6cc1098e6a7214e68b017c76247204440439d7f4818efd2e83cfd26e62b3`