jupyter-events
Jupyter Event System library
Decision gist · record as of 2026-08-14
Yes. Jupyter Events is actively maintained, has no known vulnerabilities, and carries a permissive BSD license. It is a foundational library for Jupyter ecosystem integration, with low install friction and well-established dependencies. Install it if you are building or extending Jupyter applications that need to emit or consume events.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Low install friction with a pure-Python wheel and eight well-established runtime dependencies.
- The package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
permissive license (permissive) — BSD 3-Clause License permits commercial and private use with minimal restrictions; you must retain copyright notices and disclaimers in distributions.
last release 2026-04-20 (116 days) · last repo commit 2026-06-22 · 21 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 43,086,624 downloads/mo, #648 on PyPI
Alternatives
Verify before relying
pip install jupyter_events
from jupyter_events import EventSystem
event_system = EventSystem()
event_system.emit("my.event", {"key": "value"})- Whether the EventSystem class is the primary entry point or if other APIs are more commonly used for emitting and listening to events.
- Whether event schemas are validated against JSON Schema and how strict validation is by default.
- Performance characteristics when handling high-frequency events or many concurrent listeners.
What it is and what it does
Jupyter Events is an event system library designed for Jupyter Python applications—such as Jupyter Server, JupyterLab Server, and JupyterHub—to emit structured events that describe things happening inside the application. Other software, including client applications like JupyterLab, can listen and respond to these events. It abstracts the mechanics of event emission and subscription so that Jupyter applications can communicate state changes and user actions in a standardized way.
The package depends on jsonschema, packaging, python-json-logger, pyyaml, referencing, rfc3339-validator, rfc3986-validator, and traitlets to handle event validation, serialization, and schema management. It is intended for developers building Jupyter applications or extensions that need to integrate with the broader Jupyter ecosystem's event infrastructure.
Use it for
- Emit structured events from a Jupyter Server to notify connected clients of kernel state changes or user actions.
- Build a JupyterLab extension that listens to and reacts to events from the Jupyter Server.
- Log and audit application events in a Jupyter application using the python-json-logger integration.
- Validate event payloads against JSON Schema to ensure data consistency across Jupyter applications.
- Integrate third-party monitoring or analytics tools that consume Jupyter application events.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Jupyter Events is actively maintained, has no known vulnerabilities, and carries a permissive BSD license. It is a foundational library for Jupyter ecosystem integration, with low install friction and well-established dependencies. Install it if you are building or extending Jupyter applications that need to emit or consume events.
Install
jupyter-events on PyPI
Before you install
Low install friction with a pure-Python wheel and eight well-established runtime dependencies. The package is actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.9 or later.
License in practice
BSD 3-Clause License permits commercial and private use with minimal restrictions; you must retain copyright notices and disclaimers in distributions.
Quickstart
pip install jupyter_events
from jupyter_events import EventSystem
event_system = EventSystem()
event_system.emit("my.event", {"key": "value"})Verify before relying
- Whether the EventSystem class is the primary entry point or if other APIs are more commonly used for emitting and listening to events.
- Whether event schemas are validated against JSON Schema and how strict validation is by default.
- Performance characteristics when handling high-frequency events or many concurrent listeners.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesjsonschemapackagingpython-json-loggerpyyamlreferencingrfc3339-validatorrfc3986-validatortraitlets |
| Maintenance | Actively maintained 116 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 43,086,624 / month, #648 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3 |
Evidence: jupyter_events-0.12.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “jupyter event system”
- jupyter-eventsJupyter Events provides an event system for Jupyter applications and…
- ipyeventsipyevents provides a Jupyter widget that captures mouse and keyboard…
- jupyter-ui-pollBlocks Jupyter cell execution while waiting for user interaction with…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also jupyter-server · jupyter-core · jupyterlab-chat · jupyterlab-server · jupyter-server-terminals · jupyter-client · jupyter-server-proxy · pymitter · jupyter-archive · ipyevents