Changelog

1.1.0 (2026-02-15)

Shared State API - ETS-backed storage for sharing data between Python workers
- state_set/get/delete/keys/clear accessible from Python via from erlang import ...
- py:state_store/fetch/remove/keys/clear from Erlang
- Atomic counters with state_incr/decr (Python) and py:state_incr/decr (Erlang)
- New example: examples/shared_state_example.erl
Native Python Import Syntax for Erlang callbacks
- from erlang import my_func; my_func(args) - most Pythonic
- erlang.my_func(args) - attribute-style access
- erlang.call('my_func', args) - legacy syntax still works
Module Reload - Reload Python modules across all workers during development
- py:reload(module) uses importlib.reload() to refresh modules from disk
- py_pool:broadcast/1 for sending requests to all workers
Documentation improvements
- Added shared state section to getting-started, scalability, and ai-integration guides
- Added embedding caching example using shared state
- Added hex.pm badges to README

Memory safety - Added NULL checks to all enif_alloc() calls in NIF code
Worker resilience - Fixed crash in py_subinterp_pool:terminate/2 when workers undefined
Streaming example - Fixed to work with worker pool design (workers don't share namespace)
ETS table ownership - Moved py_callbacks table creation to supervisor for resilience

Created py_util module to consolidate duplicate code (to_binary/1, send_response/3, normalize_timeout/1-2)
Consolidated async_await/2 to call await/2 reducing duplication

Initial release of erlang_python - Execute Python from Erlang/Elixir using dirty NIFs.

Python Integration
- Call Python functions with py:call/3-5
- Evaluate expressions with py:eval/1-3
- Execute statements with py:exec/1-2
- Stream from Python generators with py:stream/3-4
Multiple Execution Modes (auto-detected)
- Free-threaded Python 3.13+ (no GIL, true parallelism)
- Sub-interpreters Python 3.12+ (per-interpreter GIL)
- Multi-executor for older Python versions
Worker Pools
- Main worker pool for synchronous calls
- Async worker pool for asyncio coroutines
- Sub-interpreter pool for parallel execution
Erlang/Elixir Callbacks
- Register functions callable from Python via py:register_function/2-3
- Python code calls back with erlang.call('name', args...)
Virtual Environment Support
- Activate venvs with py:activate_venv/1
- Use isolated package dependencies
Rate Limiting
- ETS-based semaphore prevents overload
- Configurable max concurrent operations
Type Conversion
- Automatic conversion between Erlang and Python types
- Integers, floats, strings, lists, tuples, maps/dicts, booleans
Memory Management
- Access Python GC stats with py:memory_stats/0
- Force garbage collection with py:gc/0-1
- Memory tracing with py:tracemalloc_start/stop