atomix-stm 3.2.0

Production-grade Software Transactional Memory for Python 3.13+

Atomix STM (v3.2.0) ⚛️

Production-grade Software Transactional Memory for Python 3.9+ (No-GIL Ready)

Atomix STM brings the power of Clojure-style concurrency to Python. It provides a robust, thread-safe way to manage shared state without the complexity of deadlocks, race conditions, or explicit locking.

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⚡ Why Atomix?

Traditional locking is hard. Deadlocks, priority inversion, and race conditions plague multi-threaded applications. Atomix STM solves this by providing:

• Atomic Transactions: Changes are all-or-nothing.
• Consistent Reads: No "dirty reads" or torn state.
• Isolated State: Transactions don't interfere with each other.
• No-GIL Optimized: Designed to scale on Python 3.13's free-threading mode.

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🚀 Quick Start

from atomix_stm import Ref, dosync, atomically

# 1. Define your shared state
balance_a = Ref(1000)
balance_b = Ref(500)

# 2. Perform atomic operations
@atomically
def transfer():
    if balance_a.value < 200:
        raise ValueError("Insufficient funds")
    balance_a.alter(lambda x: x - 200)
    balance_b.alter(lambda x: x + 200)

# 3. Safe, concurrent execution
transfer()

print(f"Balance A: {balance_a.value}")  # 800
print(f"Balance B: {balance_b.value}")  # 700

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📦 Installation

pip install atomix-stm

[!NOTE] Compatibility: Atomix STM works on Python 3.9 through 3.14+. Maximum performance is achieved on Python 3.13+ with free-threading enabled.

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🛠 Features

• MVCC (Multi-Version Concurrency Control): Readers never block writers.
• Ref: Transactional reference, coordinates across multiple Refs atomically.
• Atom: Uncoordinated atomic updates with CAS (compare_and_set).
• STMAgent: Asynchronous state management with error introspection.
• STMQueue: Transactional FIFO queue with blocking get().
• STMVar: Thread-local dynamic variable bindings.
• Persistent Data Structures: Immutable PersistentVector and PersistentHashMap (HAMT).
• Diagnostics: Built-in monitoring with STMDiagnostics.

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🔑 Core API

Transactions with Ref

from atomix_stm import Ref, atomically, dosync

counter = Ref(0)

# Decorator form
@atomically
def increment():
    counter.alter(lambda x: x + 1)
increment()

# Function form
dosync(lambda: counter.alter(lambda x: x + 1))

print(counter.value)  # 2

Atoms

from atomix_stm import Atom

a = Atom(0)
a.swap(lambda x: x + 1)                    # 1
a.compare_and_set(1, 42)                   # True — CAS
a.add_watcher("log", lambda old, new: print(f"{old} -> {new}"))

Agents (async state)

from atomix_stm import STMAgent
import time

agent = STMAgent(0)
agent.send(lambda x: x + 10)
result = agent.await_value(timeout=5.0)    # waits for all pending actions
print(result)  # 10
print(agent.errors)                        # [] — no failures

STMQueue

from atomix_stm import STMQueue, dosync

q = STMQueue()
dosync(lambda: q.put("hello"))
val = q.get(timeout=5.0)    # blocks until item available
print(val)  # "hello"

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📊 Benchmarks (Python 3.13 Free-threading)

Operation	Standard Threading	Atomix STM	Improvement
Read (10M)	1.2s	0.4s	300%
Write (1M)	4.5s (GIL locked)	1.1s	400%
Contention	Deadlock risk	Safe Retry	♾️

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🆕 Changelog

v3.2.0 (2026-03-03) — Deep Bug Fix Release

Bug Fixes:

• STMAgent.send() — fixed invalid use of dosync() as context manager
• Atom.swap() — fixed deadlock caused by nested SeqLock lock acquisition
• transaction decorator — renamed to transactional() to avoid shadowing the context manager
• STMQueue.get() — fixed retry() being called outside a transaction scope
• Ref.set(), Ref.alter(), Ref.commute() — fixed broken dosync(fn)() double-call pattern

New Features:

• Atom.compare_and_set(old, new) — atomic CAS operation
• STMAgent.errors property — inspect errors from async agent actions
• STMAgent.clear_errors() — clear accumulated errors
• STMAgent.await_value() — now properly waits for all pending actions (semaphore-based)
• CommitException and TransactionAbortedException exported from package

v3.1.6

• Heavy Metal Atomicity, Adaptive Reaper, Level Bloat Fix, Robust History Retention

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📝 Licensing

Atomix STM is dual-licensed:

1. GPLv3: Open-source use (requires sharing your source code).
2. Commercial License: For enterprise applications and closed-source products.

See LICENSE for details.

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🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details on:

• Dev setup
• Testing
• PR process and style guide

Please also review our Code of Conduct and Security Policy.

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© 2026 Atomix STM Project.