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Thursday, January 30, 2025
Show HN: Reactive Signals for Python – inspired by Angular's reactivity model https://ift.tt/BXOsv8H
Show HN: Reactive Signals for Python – inspired by Angular's reactivity model Hey everyone, I built reaktiv, a small reactive signals library for Python, inspired by Angular’s reactivity model. It lets you define Signals, Computed Values, and Effects that automatically track dependencies and update efficiently. The main focus is async-first reactivity without external dependencies. Here is an example code: ``` import asyncio from reaktiv import Signal, ComputeSignal, Effect async def main(): count = Signal(0) doubled = ComputeSignal(lambda: count.get() * 2) async def log_count(): print(f"Count: {count.get()}, Doubled: {doubled.get()}") Effect(log_count).schedule() count.set(5) # Triggers: "Count: 5, Doubled: 10" await asyncio.sleep(0) # Allow effects to process asyncio.run(main()) ``` https://ift.tt/WDuQ05z January 31, 2025 at 12:26AM
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Show HN: Dspyer – self-correcting, optimizable LLM steps for DSPy and LangGraph https://ift.tt/KpYFV74
Show HN: Dspyer – self-correcting, optimizable LLM steps for DSPy and LangGraph https://ift.tt/jwiQgJO June 25, 2026 at 02:38AM
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