{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/4"}],"enrichment":{"capability":"A command-line interface for interacting with Monte Carlo's data observability platform, enabling configuration, integration management, monitor deployment, and data catalog operations.","skillfed_tags":["data-observability","dbt-integration","cli-tool"],"use_cases":["Configure and validate Monte Carlo authentication in CI/CD pipelines without manual prompts using API key or OAuth credentials.","Deploy data quality monitors in bulk by applying YAML-based monitor configurations to multiple tables and datasets.","Import dbt project metadata into Monte Carlo's catalog to enable lineage tracking and automated quality monitoring.","List and manage active integrations (data sources, warehouses) from the command line for auditing or automation.","Set up multiple named profiles with custom config paths for managing different Monte Carlo environments or teams."],"what_it_does":"montecarlodata is the official CLI for Monte Carlo, a data observability platform. It provides a command-line interface to configure authentication, manage integrations, deploy data quality monitors, and interact with the data catalog\u2014all without leaving the terminal. The tool is designed for both interactive use (with guided prompts) and scripted/CI workflows (supporting non-interactive API key or OAuth authentication).\n\nThe package bundles 13 runtime dependencies including click for CLI scaffolding, boto3 for AWS integration, Jinja2 for templating, and questionary for interactive prompts. It supports Python 3.10 and later and is actively maintained. Primary use cases include setting up Monte Carlo profiles, listing and managing integrations, applying monitor configurations from YAML files, and importing dbt manifests into the Monte Carlo catalog.","worth_installing":"Yes, if you use Monte Carlo for data observability and need programmatic or scripted access to platform operations. The CLI is actively maintained (released 1 day ago), has low install friction, and integrates well with CI/CD and dbt workflows. No known security vulnerabilities. Apache 2.0 license is permissive. Not relevant if you don't use Monte Carlo or prefer web-only interaction."},"id":"montecarlodata","links":{"html":"https://skillfed.io/packages/montecarlodata","md":"https://skillfed.io/packages/montecarlodata.md","pypi":"https://pypi.org/project/montecarlodata/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"montecarlodata","python_support":"supports_current","summary":"Monte Carlo's CLI"},"popularity":{"monthly_downloads":184557,"position":10031,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.175.0"}