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eventkit

Event-driven data pipelines

With conditionsPyPI Application FrameworksReleased Dec 2023867.0K downloads / moBSDPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — eventkit-1.0.3-py3-none-any.whl
v1.0.3 · released 2023-12-11 · 1 runtime deps: numpy

Yes, if you need event-driven pipelines with asyncio integration and accept that the package is no longer maintained. The API is stable, it has no known vulnerabilities, and low install friction. Not recommended for new projects expecting active maintenance or future Python version support beyond 3.12.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Python 3.6 or higher is required.
  • Installation is straightforward with no compiled dependencies.
  • The package is abandoned as of 2023-12-11 with no recent maintenance, though it remains functional for existing codebases.

License · maintenance · safety

BSD (permissive) — BSD license is permissive, allowing commercial and private use with minimal restrictions; suitable for most projects.

last release 2023-12-11 (977 days) · last repo commit 2023-12-11 · 148 stars · archived

0 known vulnerabilities (OSV.dev, 2026-08-14) · 866,958 downloads/mo, #4,860 on PyPI

Verify before relying

pip install eventkit

import eventkit as ev

event = ev.Event()
event += lambda a, b: print(a * b)
event.emit(10, 5)
  • Whether the abandoned status affects long-term compatibility with future Python versions beyond 3.12
  • Performance characteristics when handling high-frequency event streams or large-scale pipelines
Same gist for agents: .md · .json

What it is and what it does

eventkit is an event-driven framework that lets you build asynchronous data pipelines and connect components through events. It provides familiar Python-style interfaces inspired by Qt signals, itertools, and reactive extensions. The core abstraction is the Event object, which can emit data to multiple listeners, and a Sequence-like API for composing transformations into pipelines that run asynchronously with asyncio.

You can use it to send events between loosely coupled parts of an application, build real-time data processing pipelines, combine async iterators, or compute running statistics over streams. It requires numpy as a runtime dependency and supports Python 3.6 through 3.12. The package is no longer actively maintained but remains stable for existing use cases.

Use it for

  • Build event-driven architectures where components communicate through events without tight coupling
  • Compose asynchronous data transformation pipelines that run with asyncio
  • Process real-time streams such as video frames or sensor data with inline analysis
  • Combine multiple async iterators and coordinate their output in a single pipeline
  • Compute rolling statistics over streaming data

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need event-driven pipelines with asyncio integration and accept that the package is no longer maintained.

The API is stable, it has no known vulnerabilities, and low install friction. Not recommended for new projects expecting active maintenance or future Python version support beyond 3.12.

Install

eventkit on PyPI

Before you install

Installation is straightforward with no compiled dependencies. The package is abandoned as of 2023-12-11 with no recent maintenance, though it remains functional for existing codebases.

Python 3.6 or higher is required.

License in practice

BSD license is permissive, allowing commercial and private use with minimal restrictions; suitable for most projects.

Quickstart

pip install eventkit

import eventkit as ev

event = ev.Event()
event += lambda a, b: print(a * b)
event.emit(10, 5)

Verify before relying

  • Whether the abandoned status affects long-term compatibility with future Python versions beyond 3.12
  • Performance characteristics when handling high-frequency event streams or large-scale pipelines

Package facts

LicenseBSD permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
numpy
MaintenanceAbandoned 977 days since the last release
Last repo commit repository archived
First released
Downloads866,958 / month, #4,860 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: eventkit-1.0.3-py3-none-any.whl

Tags

Capabilities
event-driven data pipelinesasyncio event systemreactive data streamsevent emitter patternasync pipeline compositionloosely coupled componentsevent-driven architecture
Topics
event-drivenasynciodata-pipelines
PyPI keywords
pythonasyncioeventdrivendatapipelines

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See also aeventkit · pyventus · aiostream · llama-index-workflows · zthreading · koheesio · ib-insync · pyee · pyobjc-framework-EventKit · quixstreams