$npx skillfedfor your agent

qds-sdk

Python SDK for coding to the Qubole Data Service API

With conditionsPyPI Front-EndsReleased Mar 2025218.8K downloads / moApache License 2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — qds_sdk-1.17.0-py3-none-any.whl
v1.17.0 · released 2025-03-06 · Python >=2.7 · 5 runtime deps: requests, boto3, six, urllib3, inflection

Yes, if you are an existing Qubole customer and need a Python client to interact with your cluster. The package installs cleanly, has no security vulnerabilities, and supports modern Python versions. However, be aware that it is aging—the last release was 526 days ago and the original maintainers have moved on—so expect limited support for new features or breaking API changes. Use it for integration with an established Qubole deployment, not as a foundation for new big data infrastructure.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a valid Qubole API token and network access to a Qubole Data Service instance (api.qubole.com or custom endpoint).
  • Low friction install with no compiled dependencies.
  • The package is aging—last release was 526 days ago—and the maintainers have moved on since Qubole's acquisition, though the repository remains active and the codebase supports current Python versions.

License · maintenance · safety

Apache License 2.0 (permissive) — Licensed under Apache License 2.0 (permissive), so you can use, modify, and distribute the package freely in commercial and open-source projects without significant legal restrictions.

last release 2025-03-06 (526 days) · last repo commit 2025-03-06 · 51 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 218,846 downloads/mo, #9,332 on PyPI

Verify before relying

pip install qds-sdk

from qds_sdk.qubole import Qubole
from qds_sdk.commands import HiveCommand

Qubole.configure(api_token='your_token')
hc = HiveCommand.create(query='show tables')
print(f"Id: {hc.id}, Status: {hc.status}")
  • Whether the package is actively maintained post-acquisition or in maintenance-only mode for existing users.
  • Current compatibility with modern Qubole API versions and any breaking changes since the last release.
Same gist for agents: .md · .json

What it is and what it does

qds-sdk is a Python client library for the Qubole Data Service, a cloud-based big data platform. It provides both a command-line tool (qds.py) and a programmatic API for submitting and monitoring data processing jobs—Hive queries, Hadoop streaming jobs, Pig scripts, Presto queries, and shell commands—against a Qubole cluster. The SDK handles authentication via API tokens and abstracts away HTTP communication through its runtime dependencies (requests, boto3, urllib3).

The package is designed for developers integrating Qubole into Python applications or automation workflows. It supports synchronous command execution (wait for results) and asynchronous submission (check status later). The CLI tool can be invoked directly from the shell, while the SDK API allows programmatic control within Python code. The codebase is aging—last updated 526 days ago—and the original maintainers have moved on after Qubole's acquisition, though the repository remains accessible and the package still installs cleanly on modern Python versions.

Use it for

  • Run Hive queries against a Qubole cluster from a Python script and retrieve results programmatically.
  • Submit Hadoop streaming jobs with custom mappers and reducers to process large datasets in S3.
  • Build data pipeline orchestration tools that execute Presto queries and monitor their status via the SDK.
  • Automate shell command execution on Qubole infrastructure as part of a larger data workflow.
  • Integrate Qubole job submission into CI/CD or data processing automation without direct HTTP calls.

Worth the install?

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

With conditions

Yes, if you are an existing Qubole customer and need a Python client to interact with your cluster.

The package installs cleanly, has no security vulnerabilities, and supports modern Python versions. However, be aware that it is aging—the last release was 526 days ago and the original maintainers have moved on—so expect limited support for new features or breaking API changes. Use it for integration with an established Qubole deployment, not as a foundation for new big data infrastructure.

Install

qds-sdk on PyPI

Before you install

Low friction install with no compiled dependencies. The package is aging—last release was 526 days ago—and the maintainers have moved on since Qubole's acquisition, though the repository remains active and the codebase supports current Python versions.

Requires a valid Qubole API token and network access to a Qubole Data Service instance (api.qubole.com or custom endpoint).

License in practice

Licensed under Apache License 2.0 (permissive), so you can use, modify, and distribute the package freely in commercial and open-source projects without significant legal restrictions.

Quickstart

pip install qds-sdk

from qds_sdk.qubole import Qubole
from qds_sdk.commands import HiveCommand

Qubole.configure(api_token='your_token')
hc = HiveCommand.create(query='show tables')
print(f"Id: {hc.id}, Status: {hc.status}")

Verify before relying

  • Whether the package is actively maintained post-acquisition or in maintenance-only mode for existing users.
  • Current compatibility with modern Qubole API versions and any breaking changes since the last release.

Package facts

LicenseApache License 2.0 permissive
Python supportSupports the current Python release >=2.7
Install frictionLow. Pure-Python wheel
Runtime dependencies
5 packages
requestsboto3sixurllib3inflection
MaintenanceAging 526 days since the last release
Last repo commit
First released
Downloads218,846 / month, #9,332 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Environment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.3Programming Language :: Python :: 3.4

Evidence: qds_sdk-1.17.0-py3-none-any.whl

Tags

Capabilities
qubole api clienthive query execution sdkhadoop streaming pythonqds command runnerdata service api wrapperpresto query pythonbig data orchestration sdk
Topics
big-dataapi-clientcli-tool
PyPI keywords
qubolesdkapi

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 › “qubole api client”

  • qds-sdkA Python SDK for authenticating with and executing commands against…
  • codewords-clientA Python client library for the Codewords API with built-in FastAPI…
  • twentyc.rpcA client library for consuming 20c's RESTful API, built on top of the…

Give your agent the search over MCP, or paste the wish link into any chat.

More Front-Ends packages

SQLAlchemy Worth it
PyPI · Front-Ends · released Aug 2026

SQLAlchemy is a Python SQL toolkit and Object Relational Mapper (ORM) that provides both a high-level ORM layer for declarative object persistence and a Core SQL construction system for direct database abstraction and query building.

permissive licensepure Python · 3.7+
422.7Mdownloads / mo
psycopg2-binary Worth it
PyPI · Software Development · released Apr 2026

psycopg2-binary is a PostgreSQL database adapter for Python that implements the DB API 2.0 specification, enabling Python applications to connect to and query PostgreSQL databases with thread-safe concurrent operations.

copyleftcompiled wheel · 3.9+
271.6Mdownloads / mo
alembic Worth it
PyPI · Front-Ends · released Aug 2026

Alembic generates and manages database schema migrations for SQLAlchemy applications, handling version control of database structure changes with support for upgrades, downgrades, and auto-generation from model changes.

Install it if you use SQLAlchemy and need to version-control schema changes; skip it only if you manage migrations manually or use a different ORM entirely.

MITpure Python · 3.10+
215.2Mdownloads / mo
weaviate-client Worth it
PyPI · Front-Ends · released Aug 2026

A Python client library for connecting to and querying Weaviate, a vector database that enables semantic search and AI-powered data retrieval.

permissive licensepure Python · 3.10+
213.2Mdownloads / mo
databricks-sql-connector Worth it
PyPI · Front-Ends · released Jul 2026

A Python client library that connects to Databricks clusters and SQL warehouses using a Thrift-based protocol, conforming to the Python DB API 2.0 specification and supporting Arrow-based data exchange.

Install it if you need to query Databricks clusters or SQL warehouses from Python.

Apache-2.0pure Python
119.5Mdownloads / mo
psycopg Worth it
PyPI · Software Development · released May 2026

Psycopg 3 is a PostgreSQL database adapter for Python that enables applications to connect to, query, and manage PostgreSQL databases using Python code.

Install it if you need to connect Python to PostgreSQL.

LGPL-3.0-onlypure Python · 3.10+
117.0Mdownloads / mo

See also PyHive · hive-metastore-client · nflx-genie-client · presto-python-client · snakebite-py3 · apache-airflow-providers-apache-hive · cloudcruise · pytd · databricks-dbapi · boto