{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Kumo SDK provides a Python interface to programmatically interact with the Kumo machine learning platform, enabling users to build and manage ML workflows on modern data infrastructure.","skillfed_tags":["ml-platform-client","data-warehouse-integration"],"use_cases":["Build and deploy ML pipelines that read from and write to cloud data warehouses","Automate feature engineering and model training workflows on modern data infrastructure","Integrate graph neural network models with data warehouse queries and transformations","Orchestrate multi-step ML jobs with progress tracking and async execution"],"what_it_does":"Kumo SDK is a Python library that acts as a client for the Kumo machine learning platform, which is positioned as an AI tool for the modern data stack. It lets you programmatically define, configure, and execute ML workflows that integrate with cloud data warehouses and other data infrastructure. The package bundles 12 runtime dependencies covering data manipulation (pandas, pyarrow), visualization (plotly), HTTP communication (requests, aiohttp, urllib3), async task management (tqdm), structured data validation (pydantic), and templating (jinja2), suggesting it handles data pipelines, API interactions, and model orchestration.\n\nThe SDK is actively maintained, supports Python 3.10 through 3.14, and carries an MIT license. It installs with low friction as a pure wheel. Optional database connectors for sqlite, duckdb, and snowflake can be added via extras, indicating that data source integration is a core use case. No known security vulnerabilities are recorded.","worth_installing":"Yes, if you are building ML workflows on a modern data stack and need programmatic control over the Kumo platform. The low install friction, active maintenance, permissive license, and broad Python version support make it a practical choice. No security vulnerabilities are known. Verify that Kumo's capabilities align with your specific ML use case before committing to the platform."},"id":"kumoai","links":{"html":"https://skillfed.io/packages/kumoai","md":"https://skillfed.io/packages/kumoai.md","pypi":"https://pypi.org/project/kumoai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-11","license_spdx":"MIT","license_treatment":"permissive","name":"kumoai","python_support":"supports_current","summary":"AI on the Modern Data Stack"},"popularity":{"monthly_downloads":164331,"position":10552,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.22.0"}