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jupyter-builder

JupyterLab build tools

Worth itPyPI Build ToolsReleased Aug 202624.1M downloads / moBSD-3-Clause AND MIT AND ISCPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — jupyter_builder-1.2.2-py3-none-any.whl
v1.2.2 · released 2026-08-07 · Python >=3.10 · 3 runtime deps: jupyter-core, tomli, traitlets

Yes. This is a specialized, actively maintained tool for JupyterLab extension developers. Install it if you are building or developing JupyterLab extensions; it is not useful for end users of Jupyter. No known vulnerabilities, permissive licensing, and low install friction make it a safe choice for its intended audience.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; extension source must be present at the specified path.
  • Low friction install with three lightweight runtime dependencies (jupyter-core, tomli, traitlets).
  • Actively maintained with a release within the past week and no known vulnerabilities.

License · maintenance · safety

BSD-3-Clause AND MIT AND ISC (permissive) — Permissive multi-license (BSD-3-Clause AND MIT AND ISC) means you can use this in commercial and proprietary projects without restriction.

last release 2026-08-07 (7 days) · last repo commit 2026-08-06 · 14 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 24,139,359 downloads/mo, #925 on PyPI

Verify before relying

pip install jupyter_builder

from jupyter_builder.federated_extensions import build_labextension
build_labextension("/path/to/extension", development=False)
  • Whether Node.js and npm are required system dependencies for the build process to succeed.
  • Whether the jlpm wrapper requires npm to be installed separately or if it bundles Node tooling.
Same gist for agents: .md · .json

What it is and what it does

jupyter-builder is a build system extracted from JupyterLab's core codebase to manage the compilation and installation of JupyterLab extensions independently. It provides three main CLI commands—build, develop, and watch—for compiling extension JavaScript assets, installing them in development mode with symlinks, and automatically rebuilding on source changes. The package also includes jlpm, a Jupyter-aware Node.js package manager wrapper, and a Python API for programmatic control.

The tool handles the complexity of resolving JupyterLab core metadata, supporting both explicit version specification and automatic discovery from node_modules or npm registries. It supports environment variable overrides for network URLs, making it suitable for corporate environments with internal mirrors. With three runtime dependencies and a permissive license, it integrates cleanly into extension development workflows.

Use it for

  • Build JavaScript assets for a JupyterLab extension before packaging it for distribution.
  • Set up a development environment for a JupyterLab extension with automatic asset rebuilding on file changes.
  • Install a JupyterLab extension in development mode using symlinks for rapid iteration.
  • Compile extension assets against a specific JupyterLab core version in a CI/CD pipeline.
  • Redirect npm registry lookups to an internal corporate mirror during extension builds.

Worth the install?

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

Worth it

Yes.

This is a specialized, actively maintained tool for JupyterLab extension developers. Install it if you are building or developing JupyterLab extensions; it is not useful for end users of Jupyter. No known vulnerabilities, permissive licensing, and low install friction make it a safe choice for its intended audience.

Install

jupyter-builder on PyPI

Before you install

Low friction install with three lightweight runtime dependencies (jupyter-core, tomli, traitlets). Actively maintained with a release within the past week and no known vulnerabilities.

Requires Python 3.10 or later; extension source must be present at the specified path.

License in practice

Permissive multi-license (BSD-3-Clause AND MIT AND ISC) means you can use this in commercial and proprietary projects without restriction.

Quickstart

pip install jupyter_builder

from jupyter_builder.federated_extensions import build_labextension
build_labextension("/path/to/extension", development=False)

Verify before relying

  • Whether Node.js and npm are required system dependencies for the build process to succeed.
  • Whether the jlpm wrapper requires npm to be installed separately or if it bundles Node tooling.

Package facts

LicenseBSD-3-Clause AND MIT AND ISC permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
jupyter-coretomlitraitlets
MaintenanceActively maintained 7 days since the last release
Last repo commit
First released
Downloads24,139,359 / month, #925 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Framework :: JupyterFramework :: Jupyter :: JupyterLabFramework :: Jupyter :: JupyterLab :: 4Intended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14

Evidence: jupyter_builder-1.2.2-py3-none-any.whl

Tags

Capabilities
jupyterlab extension build toolsjupyter extension compilerbuild jupyterlab extensionsjupyter extension developmentlabextension build systemjupyter federated extensionsextension asset compilation
Topics
jupyter-ecosystemextension-development
PyPI keywords
ipythonjupyter

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See also jupyterlab-widgets · jupyter-archive · jupyterlab-commands-toolkit · jupyterlab-chat · jupysql-plugin · jupyter-ai-chat-commands · jupyter_bokeh · jupyter-packaging · ipympl · jupyter-server-documents