Packages
Manages Julia language installation and package dependencies from Python, automatically resolving and isolating Julia environments per Python virtual environment or Conda setup.
Provides open-source extensions, plugins, and integrations for the pyATS framework that automatically hook into its published entry-point interfaces.
Extends colcon to configure environment variables for locating shared libraries at runtime during builds.
Integrates pyATS testing capabilities with RobotFramework, enabling RobotFramework to interact with pyATS test infrastructure for data-driven and reusable automated testing.
Provides a design specification and parser for Pipfile and Pipfile.lock, a TOML-based format intended to replace requirements.txt for declaring Python dependencies with deterministic lock files.
Install only if you are maintaining legacy code that explicitly depends on this package or studying the history of Python dependency management.
Parse, manipulate, and generate changelog files in Keep a Changelog format, converting between markdown and Python dictionaries, and automating semantic version releases.
Install it if you maintain a changelog and want to automate release workflows or programmatically access changelog data; skip it if you manage changelogs manually…
Provides AWS CDK constructs for defining EC2 networking and compute resources (VPCs, subnets, instances) as infrastructure-as-code in Python.
A colcon-core extension that recursively crawls directory trees to discover and locate packages for the colcon build system.
However, verify compatibility with your colcon-core version first, as the package is dormant and may not be updated for breaking changes in colcon's plugin API.
Extends colcon-core to configure environment variables for locating pkg-config files during builds.
Automatically maps object fields from one class to another, handling different field names, nested objects, and integration with Pydantic, TortoiseORM, and SQLAlchemy models.
Fabric3 is a Python 2.7 and 3.4+ compatible fork of Fabric that enables remote command execution and application deployment over SSH from Python code.
Provides utilities for working with Spark DataFrames that have complex nested schemas, including flattening StructType columns, renaming nested fields, and converting JSON schemas to Spark schemas.
Install only if you are locked into an older Spark version and cannot upgrade.
Parses and validates Python project metadata from pyproject.toml files according to PEP 517, 518, 621, and 631 specifications.
However, expect no active maintenance—the last release was 640 days ago—so pin the version and avoid relying on future updates.
A Hatch build hook plugin that automates the build process for Jupyter packages, handling compilation and asset steps during package creation.
However, note the dormant maintenance status—no releases for 885 days—so verify compatibility with your current Hatch and Jupyter versions before relying on it for…
tbump automates version bumping in your project by updating version strings across configured files, creating git commits and tags, and running custom hooks—all with a confirmation step before execution.
Provides AWS CDK constructs for creating and managing CloudWatch Logs resources, including log groups, streams, retention policies, subscriptions, and metric filters.
Defines AWS S3 buckets and related resources as code using the AWS CDK v1 construct library, allowing programmatic creation and configuration of S3 storage infrastructure.
Automatically creates and optionally pushes semantic version git tags following SemVer rules, with support for major/minor/patch increments and pre-release versions.
Extends colcon-core to provide information about packages in a colcon build workspace, enabling queries and reporting on package metadata and properties.
Packages local files and directories for deployment to S3 as part of AWS CDK applications, handling asset bundling, hashing, and CloudFormation parameter injection.
Install only if maintaining legacy v1 infrastructure; for new projects or migrations, use the v2 equivalent instead.
A command-line interface for interacting with Monte Carlo's data observability platform, enabling configuration, integration management, monitor deployment, and data catalog operations.
Adds desktop notifications to colcon build system status updates, displaying build progress and completion messages on Windows, macOS, and Linux.
Install it if desktop notifications would improve your build workflow; skip it if you prefer terminal-only feedback.
Provides AWS CDK constructs for defining and managing AWS Key Management Service (KMS) keys, aliases, and key policies in infrastructure-as-code.
Bundles colcon-core and twenty common colcon extensions into a single meta-package for simplified installation of the colcon build system and its standard plugins.
Extends colcon-core to filter and select a subset of packages for processing during builds or workspace operations.
However, verify compatibility with your colcon-core version first—dormancy since 2020 means it may lag behind current colcon development, and you should confirm it…
Extends colcon-core to customize output formatting and display options for the colcon build system.
Extends colcon-core to execute package builds and tests in parallel rather than sequentially, speeding up multi-package workspace processing.
Extends colcon to load default command-line argument values from a YAML configuration file, reducing repetitive command typing in build workflows.
dbt-loom is a dbt Core plugin that fetches public model definitions from upstream dbt project artifacts and injects them into your dbt project, enabling multi-project deployments to share models across repositories.
However, verify the license terms before adopting in proprietary contexts, as the license metadata is missing from the package.
Parses and modifies tox.ini configuration strings, including environment lists, environment definitions, and conditional dependencies with support for expansion and transformation.
Extends colcon-core to generate PowerShell shell scripts for build environment setup and task execution on Windows, macOS, and POSIX systems.
However, maintenance is aging (last update 185 days ago) and the package is still Alpha, so verify that PowerShell script generation meets your specific build…
Extends colcon-core to expose information about the plugin system, including available extension points and registered extensions.
However, the aging maintenance status suggests the package may be stable but no longer under active development—verify that its plugin introspection features meet…
Converts Golang platform identifiers (GOOS and GOARCH) into Python platform tags for packaging and distributing Go binaries.
Unified interface for detecting, installing, and managing binary and source dependencies across multiple package managers (apt, brew, pip, npm, docker, cargo, and others) from Python code or CLI.
Extends colcon-core to fetch and manage package metadata from remote repositories, enabling build systems to access structured package information during builds.
A command-line interface for managing Azure Service Fabric clusters, applications, services, and related entities through the sfctl command.
Install it if you manage Service Fabric clusters or need to automate fabric operations; it is the standard tool for this purpose and integrates well with Azure…
ccimport builds Python C++ bindings on-the-fly using pybind11 and ninja, letting you compile and import C++ code directly from Python without separate build steps.
However, be aware that the last release was 668 days ago; if you encounter issues with newer Python or compiler versions, community support may be limited.
Salamandra is a Python framework for loading, analyzing, generating, and storing electronic circuit netlists through an object-oriented API.
dbt-autofix scans dbt projects for deprecated configurations and automatically updates them to align with current best practices and dbt Fusion compatibility.
PCCM manages Python-to-C++ code generation and compilation, letting you write C++ code as Python strings and compile it on demand with minimal setup.
Install only if your use case tolerates a frozen codebase and you've verified it works with your C++ compiler and Python version.