aeventkit
Event-driven data pipelines
Decision gist · record as of 2026-08-14
Yes, if you are building event-driven or async data pipeline applications and want a Pythonic abstraction over asyncio. The low install friction, active maintenance, and permissive license support adoption. However, the Beta status and recent first release mean you should evaluate it in a non-critical context first and clarify the license ambiguity with the maintainer before using it in proprietary code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Python 3.10 or later is required.
- Low install friction with a pure-Python wheel.
- Active maintenance with recent commits; however, the package is in Beta status and has been in its first release cycle for under a year, so stability and API maturity remain unproven.
License · maintenance · safety
BSD (permissive) — BSD license is permissive and poses no restrictions on use or redistribution. However, the classifiers also list 'Other/Proprietary License', creating ambiguity about the actual license terms—clarification from the maintainer would be prudent before relying on it in proprietary projects.
last release 2025-06-22 (418 days) · last repo commit 2026-04-08 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 555,450 downloads/mo, #6,025 on PyPI
Alternatives
Verify before relying
pip install aeventkit
import aeventkit as ev
event = ev.Event()
event += lambda a, b: print(a * b)
event.emit(10, 5)- Whether the 'Other/Proprietary License' classifier is a documentation error or indicates dual licensing
- Actual test coverage and production readiness despite Beta status
- Performance characteristics under high-throughput or large-scale pipelines
What it is and what it does
aeventkit is an event-driven framework for building asynchronous data pipelines in Python. It lets you emit events that trigger multiple listeners, compose async operations on data streams, and integrate seamlessly with asyncio. The package offers a Pythonic API for connecting loosely-coupled components and supports both synchronous event emission and async iteration.
The framework is suitable for real-time data processing and distributed computing workflows. It abstracts away boilerplate asyncio code while preserving full control over scheduling and async behavior, with numpy as its sole runtime dependency.
Use it for
- Build real-time data pipelines that transform and filter streams of events or sensor data
- Connect independent components in an application without tight coupling via event listeners
- Compose async iterators and streams with operators like map, filter, and zip
- Process continuous data with async analysis stages in event-driven architectures
- Distribute compute-heavy pipeline stages across multiple cores or machines
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building event-driven or async data pipeline applications and want a Pythonic abstraction over asyncio.
The low install friction, active maintenance, and permissive license support adoption. However, the Beta status and recent first release mean you should evaluate it in a non-critical context first and clarify the license ambiguity with the maintainer before using it in proprietary code.
Install
aeventkit on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with recent commits; however, the package is in Beta status and has been in its first release cycle for under a year, so stability and API maturity remain unproven.
Python 3.10 or later is required.
License in practice
BSD license is permissive and poses no restrictions on use or redistribution. However, the classifiers also list 'Other/Proprietary License', creating ambiguity about the actual license terms—clarification from the maintainer would be prudent before relying on it in proprietary projects.
Quickstart
pip install aeventkit
import aeventkit as ev
event = ev.Event()
event += lambda a, b: print(a * b)
event.emit(10, 5)Verify before relying
- Whether the 'Other/Proprietary License' classifier is a documentation error or indicates dual licensing
- Actual test coverage and production readiness despite Beta status
- Performance characteristics under high-throughput or large-scale pipelines
Package facts
| License | BSD permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagenumpy |
| Maintenance | Actively maintained 418 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 555,450 / month, #6,025 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseLicense :: Other/Proprietary LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12 |
Evidence: aeventkit-2.1.0-py3-none-any.whl
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See also aiostream · eventkit · zthreading · pyventus · pyee · ib-insync · pyobjc-framework-EventKit · quixstreams · slackeventsapi · llama-index-workflows