hdijupyterutils
HdiJupyterUtils: Utils for Jupyter projects from HDInsight team
Decision gist · record as of 2026-08-14
Yes, but typically as a transitive dependency of Sparkmagic rather than directly. If you are setting up Sparkmagic for interactive Spark work in Jupyter, this will be installed automatically. Install it explicitly only if you are developing Sparkmagic extensions or utilities. The aging maintenance status (403 days since last release) warrants monitoring, but no security vulnerabilities are known and the BSD license poses no restrictions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Intended as a support library for Sparkmagic; direct standalone use is uncommon.
- Requires Jupyter and IPython ecosystem already installed.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
BSD 3-clause (permissive) — BSD 3-clause permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice preservation.
last release 2025-07-07 (403 days) · last repo commit 2025-09-09 · 1,366 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,609,412 downloads/mo, #3,722 on PyPI
Alternatives
Verify before relying
pip install hdijupyterutils
from hdijupyterutils.utils import get_variable_name
from hdijupyterutils.sparkmagic_utils import get_spark_context- Whether this package is intended for direct end-user installation or primarily as a transitive dependency of Sparkmagic.
- Current maintenance status and whether the 403-day gap since last release indicates active development or dormancy.
- Python version support beyond the classifier mentioning 3.7; compatibility with modern Python versions.
What it is and what it does
hdijupyterutils is a utility library that underpins the Sparkmagic project, providing helper functions and Jupyter integration scaffolding for working with remote Spark clusters. It is designed to be used alongside Jupyter notebooks and the IPython ecosystem, offering utilities that abstract common operations needed when connecting to Spark via REST servers like Livy, Lighter, or Ilum.
The package depends on seven runtime components—ipython, ipywidgets, ipykernel, jupyter, pandas, numpy, and notebook—reflecting its deep integration with the Jupyter data science stack. It is primarily a support library; most users encounter it as a transitive dependency when installing Sparkmagic itself rather than as a standalone tool. The BSD 3-clause license permits unrestricted use in commercial and private projects.
Use it for
- Supporting Sparkmagic's Jupyter kernel implementations to enable automatic Spark context creation and SQL query execution.
- Providing shared utility functions across Sparkmagic's multiple authentication methods (Basic, Kerberos, custom).
- Enabling visualization and dataframe capture workflows in Jupyter notebooks connected to remote Spark clusters.
- Facilitating local-to-remote data transfer and Spark job configuration management from Jupyter.
- Abstracting REST communication details when interacting with Livy or other Spark session servers.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, but typically as a transitive dependency of Sparkmagic rather than directly.
If you are setting up Sparkmagic for interactive Spark work in Jupyter, this will be installed automatically. Install it explicitly only if you are developing Sparkmagic extensions or utilities. The aging maintenance status (403 days since last release) warrants monitoring, but no security vulnerabilities are known and the BSD license poses no restrictions.
Install
hdijupyterutils on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintenance is aging—last release was 403 days ago—but the repository remains active and unarchived with modest community engagement (1366 stars).
Intended as a support library for Sparkmagic; direct standalone use is uncommon. Requires Jupyter and IPython ecosystem already installed.
License in practice
BSD 3-clause permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice preservation.
Quickstart
pip install hdijupyterutils
from hdijupyterutils.utils import get_variable_name
from hdijupyterutils.sparkmagic_utils import get_spark_contextVerify before relying
- Whether this package is intended for direct end-user installation or primarily as a transitive dependency of Sparkmagic.
- Current maintenance status and whether the 403-day gap since last release indicates active development or dormancy.
- Python version support beyond the classifier mentioning 3.7; compatibility with modern Python versions.
Package facts
| License | BSD 3-clause permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesipythonipywidgetsipykerneljupyterpandasnumpynotebook |
| Maintenance | Aging 403 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,609,412 / month, #3,722 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishProgramming Language :: Python :: 3.7 |
Evidence: hdijupyterutils-0.23.0-py3-none-any.whl
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