jupyter-builder
JupyterLab build tools
Decision gist · record as of 2026-08-14
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
Alternatives
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.
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.
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
| License | BSD-3-Clause AND MIT AND ISC permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesjupyter-coretomlitraitlets |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 24,139,359 / month, #925 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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
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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