snowpark-connect-deps-1
Spark JAR dependencies for Snowpark Connect (Part 1)
What it is and what it does
This package is a JAR bundle—a collection of compiled Java libraries—that contains Apache Spark 3.5.6 core components needed by Snowpark Connect. Snowpark Connect is a Python client for executing Spark workloads, and it requires the underlying Spark framework to be available. Rather than asking you to download Spark separately, this package pre-bundles Spark's core components so they're available when you install it.
The package itself is a pure distribution artifact with no Python code and no runtime dependencies. It supports Python 3.10, 3.11, and 3.12. You will likely install this as a transitive dependency of the main Snowpark library rather than directly, as it exists to handle the plumbing of getting Spark's JARs into your environment.
Use it for:
- Setting up a Snowpark Connect environment in Python without manually downloading Apache Spark
- Ensuring consistent Spark 3.5.6 versions across team members and CI/CD pipelines
- Deploying Snowpark applications that execute Spark queries on Snowflake
- Containerizing Snowpark workloads where pre-bundled dependencies reduce image build complexity
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Bundles Apache Spark 3.5.6 JAR files required by Snowpark Connect, eliminating the need to download Spark separately.
Yes, if you are using Snowpark Connect for Python. This is a foundational dependency that will almost certainly be installed automatically when you install the main Snowpark library. It has no external dependencies, carries a permissive license, is actively maintained, and has no known vulnerabilities.
Install
snowpark-connect-deps-1 on PyPI
pip
pip install snowpark-connect-deps-1uv
uv add snowpark-connect-deps-1poetry
poetry add snowpark-connect-deps-1Installing snowpark-connect-deps-1
Before you install
Low friction installation; actively maintained with a release within the last 30 days. No runtime dependencies to resolve.
License in practice
Licensed under Apache License, Version 2.0 (permissive), so you can use, modify, and distribute this package freely in both open-source and commercial projects.
Quickstart
pip install snowpark-connect-deps-1==3.56.6
# Typically installed as a dependency of Snowpark Connect, not directly imported
Requires Python 3.10, 3.11, or 3.12; does not support Python 3.13 or later
Verify before relying
- Whether this package is required for all Snowpark Connect use cases or only specific configurations
- Compatibility with non-Python Spark clients or alternative Spark distributions
- Whether installation is typically automatic as a transitive dependency or manual
Package facts
| License | Apache License, Version 2.0 (permissive) |
| Python support | capped below the current Python release (<3.13,>=3.10) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | none |
| Maintenance | actively maintained — 30 days since the last release |
| First released | |
| Downloads | 182,237/month — #10,106 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: snowpark_connect_deps_1-3.56.6-py3-none-any.whl
Tags
More Libraries packages
urllib3 is an HTTP client library that provides…
permissive · top 100 on PyPI
requestsRequests is a Python HTTP library that…
permissive · top 100 on PyPI
pluggyPluggy provides a plugin system that lets you…
permissive · top 100 on PyPI
python-dateutilProvides parsing, arithmetic, and recurrence…
permissive · top 100 on PyPI
sixSix provides utility functions to write Python…
permissive · top 100 on PyPI
pytestpytest is a testing framework that lets you…
permissive · top 100 on PyPI
snowpark-connect-deps-2Provides JAR dependencies for Snowpark Connect,…
permissive · top 15,000 on PyPI
snowpark-connectSnowpark Connect for Spark lets you run Spark…
permissive · top 15,000 on PyPI
pyspark-clientPython client for connecting to Apache Spark…
permissive · top 5,000 on PyPI
sagemaker-feature-store-pysparkIngest Spark DataFrames into Amazon SageMaker…
permissive · top 15,000 on PyPI
snowflake-snowpark-pythonSnowpark Python provides APIs to query and…
permissive · top 1,000 on PyPI
pyspark-extensionProvides Python bindings and utilities for…
permissive · top 15,000 on PyPI
snowflakeUnified Python API for Snowflake workloads,…
permissive · top 5,000 on PyPI
pysparkPySpark provides Python bindings to Apache…
permissive · top 1,000 on PyPI
sagemaker-feature-store-pyspark-3.1Connects Apache Spark DataFrames to Amazon…
permissive · top 15,000 on PyPI
mleapSerializes and deserializes machine learning…
permissive · top 5,000 on PyPI