{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/15"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/18"},{"label":"Database","url":"https://skillfed.io/packages/category/database/4"},{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/4"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"},{"label":"Database Engines/Servers","url":"https://skillfed.io/packages/category/database-database-engines-servers"},{"label":"Shells","url":"https://skillfed.io/packages/category/system-shells"},{"label":"Indexing/Search","url":"https://skillfed.io/packages/category/internet-www-http-indexing-search"}],"enrichment":{"capability":"Python client library for the Rockset API, enabling programmatic creation, management, and querying of Rockset resources.","skillfed_tags":["api-client","database-integration"],"use_cases":["Execute SQL queries against Rockset collections from Python applications without direct HTTP calls.","Automate creation and management of Rockset collections, aliases, and API keys in deployment pipelines.","Build data ingestion workflows that programmatically configure Rockset sources (S3, Kafka, MongoDB, etc.).","Implement pagination logic for large query result sets using QueryPaginator.","Integrate Rockset analytics into Python-based data applications or ETL processes."],"what_it_does":"Rockset is a Python client library for interacting with the Rockset API, auto-generated from OpenAPI specifications. It provides a programmatic interface to create, manage, and query Rockset resources\u2014including collections, aliases, API keys, and query lambdas\u2014across multiple data sources (S3, Kafka, MongoDB, Snowflake, DynamoDB, and others). The library wraps HTTP requests to Rockset's API endpoints and includes convenience methods like `rs.sql()` for executing SQL queries and `QueryPaginator` for handling result pagination.\n\nThe package depends on urllib3 for HTTP transport, python_dateutil for timestamp handling, and geojson for geographic data support. It requires Python >=3.6 and <4.0 and supports current Python versions. The client is designed for developers building applications that need to programmatically interact with Rockset's analytics platform, though its dormant maintenance status means it may lag behind new Rockset API features or require manual updates.","worth_installing":"Yes, with conditions. The package is stable for basic Rockset API interaction and has low install friction, but its dormant maintenance status (834 days since last release) means it may not support recent Rockset API changes or receive security updates. Install if your use case aligns with the last documented API version; verify compatibility with your Rockset backend before production deployment."},"id":"rockset","links":{"html":"https://skillfed.io/packages/rockset","md":"https://skillfed.io/packages/rockset.md","pypi":"https://pypi.org/project/rockset/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-05-02","license_spdx":null,"license_treatment":"permissive","name":"rockset","python_support":"supports_current","summary":"The python client for the Rockset API."},"popularity":{"monthly_downloads":144182,"position":11159,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.1.2"}