superset-showtime
🎪 Apache Superset ephemeral environment management with circus tent emoji state tracking
Decision gist · record as of 2026-08-14
Yes, if you are a Superset maintainer or contributor using GitHub Actions and AWS. The tool solves a specific, well-defined problem—automating ephemeral environment management with minimal operational overhead. Low install friction, no vulnerabilities, and active maintenance make it safe to adopt. Not relevant for users outside the Superset ecosystem or those not using GitHub Actions and AWS.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires GITHUB_TOKEN environment variable set and AWS credentials configured (boto3 will look for them in standard locations).
- Intended for use in GitHub Actions or by developers with AWS access.
- Low friction: pure Python wheel with no compiled dependencies.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license: you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-06-28 (47 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 92,247 downloads/mo, #13,464 on PyPI
Alternatives
Verify before relying
pip install superset-showtime
export GITHUB_TOKEN=your_token
showtime sync PR_NUMBER # Sync to desired state
showtime list # List all active environments- Whether the package works outside GitHub Actions contexts or requires GitHub-specific setup beyond the token.
- Cost implications of AWS resource creation and cleanup behavior under various failure scenarios.
- How the package handles concurrent requests or race conditions when multiple PRs trigger simultaneously.
What it is and what it does
Superset Showtime is a CLI tool that automates the lifecycle of ephemeral Apache Superset testing environments. It uses GitHub PR labels as a visual state machine—users add emoji-labeled trigger labels (like 🎪 ⚡ showtime-trigger-start) to request environment creation, and the tool responds by updating labels to show build progress, deployment status, and the environment's IP address. It integrates with GitHub Actions to detect commits, build Docker images, and deploy them to AWS with zero-downtime blue-green deployments.
The tool handles the full environment lifecycle: building Docker images, deploying to AWS, managing state transitions, and cleaning up resources when done. It supports freezing environments to test specific commits without auto-updating on new pushes, and automatically rolls out new environments when commits are pushed. The label-based state system makes environment status visible directly in the GitHub UI without requiring external dashboards.
Use it for
- Superset maintainers testing PRs in isolated environments without manual AWS provisioning or cleanup.
- Developers validating configuration changes by triggering environment creation with modified superset_config.py.
- Testing specific commits by freezing an environment to prevent auto-updates while continuing development.
- Automating blue-green deployments in CI/CD pipelines with automatic traffic switching and old environment cleanup.
- Debugging environment state and deployment issues using CLI commands like showtime status and showtime list.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are a Superset maintainer or contributor using GitHub Actions and AWS.
The tool solves a specific, well-defined problem—automating ephemeral environment management with minimal operational overhead. Low install friction, no vulnerabilities, and active maintenance make it safe to adopt. Not relevant for users outside the Superset ecosystem or those not using GitHub Actions and AWS.
Install
superset-showtime on PyPI
Before you install
Low friction: pure Python wheel with no compiled dependencies. Actively maintained (latest release 2026-06-28, 47 days old). Supports Python 3.8–3.12. Depends on well-established libraries (boto3, pydantic, typer, rich) with no known vulnerabilities.
Requires GITHUB_TOKEN environment variable set and AWS credentials configured (boto3 will look for them in standard locations). Intended for use in GitHub Actions or by developers with AWS access.
License in practice
Apache-2.0 permissive license: you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install superset-showtime
export GITHUB_TOKEN=your_token
showtime sync PR_NUMBER # Sync to desired state
showtime list # List all active environmentsVerify before relying
- Whether the package works outside GitHub Actions contexts or requires GitHub-specific setup beyond the token.
- Cost implications of AWS resource creation and cleanup behavior under various failure scenarios.
- How the package handles concurrent requests or race conditions when multiple PRs trigger simultaneously.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesboto3botocoregitpythonhttpxpydanticpython-dateutilpyyamlrichtyper |
| Maintenance | Actively maintained 47 days since the last release |
| First released | |
| Downloads | 92,247 / month, #13,464 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Build ToolsTopic :: System :: Systems Administration |
Evidence: superset_showtime-0.7.1-py3-none-any.whl
Tags
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 › “ephemeral environment management”
- superset-showtimeA CLI tool that manages ephemeral Apache Superset environments in…
- blaxelPython SDK for creating, managing, and executing workloads in…
- koyeb-sdkOfficial Python SDK for Koyeb that provides synchronous and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Build Tools packages
Provides reusable utilities for Python packaging interoperability, including version handling, specifiers, markers, requirements, tags, and metadata parsing according to standards like PEP 440 and PEP 425.
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
pip is the standard installer for Python packages, enabling you to download and install packages from the Python Package Index and other indexes into your Python environment.
Hatchling is a standards-compliant Python build backend that handles packaging, metadata, and distribution of Python projects when configured in a project's pyproject.toml file.
Generates Python gRPC service stubs and message classes from Protocol Buffer definitions, enabling developers to build gRPC clients and servers.
pre-commit is a framework for installing and running git hooks written in any language before commits are made, automating code quality and validation checks across multi-language projects.
Install it if your team needs consistent, automated validation at commit time.
See also ansible-core · circus · kantoku · apache-superset · apache-superset-core · fastapi-cloud-cli · sagemaker-serve · reflex-hosting-cli · truss · policyuniverse