scooby
A Great Dane turned Python environment detective
Decision gist · record as of 2026-08-14
Yes. Scooby is lightweight, has zero runtime dependencies, carries a permissive MIT license, and is actively maintained. Install it if you need to report Python environment details—either directly for debugging or as a dependency in your own library to help users submit better bug reports.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction with no runtime dependencies.
- Active maintenance with recent commits and stable production status.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions.
last release 2026-04-22 (114 days) · last repo commit 2026-08-10 · 61 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,704,651 downloads/mo, #3,638 on PyPI
Alternatives
Verify before relying
pip install scooby
import scooby
scooby.Report()
# or use the alias
scooby.doo()- Whether scooby can detect all modern hardware configurations (GPU, specialized accelerators) beyond CPU/RAM/architecture
- Performance impact when reporting on projects with hundreds of dependencies
What it is and what it does
Scooby is a lightweight environment reporting tool that captures your Python setup—OS, Python version, CPU count, RAM, architecture, and installed package versions—and formats it as an HTML table in Jupyter notebooks or plain text elsewhere. It has no runtime dependencies and is designed to be added as a dependency to other projects so users can easily generate diagnostic reports when debugging issues.
The package is commonly used by library maintainers to let users quickly report their environment when filing bug reports. You can customize reports by specifying core packages (mandatory for your project), optional packages, and additional packages users want to include. It also supports soft-dependency patterns so projects can use scooby without making it a hard requirement.
Use it for
- Generate environment snapshots in bug reports to help maintainers diagnose version conflicts and platform-specific issues.
- Embed in a library's Report class so users can call your_package.Report() to see all relevant versions at once.
- Display system resources and Python environment in Jupyter notebooks for reproducibility and documentation.
- Implement as a soft dependency in projects that want environment reporting without forcing scooby on all users.
- Audit package versions and hardware specs across different machines or CI/CD environments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Scooby is lightweight, has zero runtime dependencies, carries a permissive MIT license, and is actively maintained. Install it if you need to report Python environment details—either directly for debugging or as a dependency in your own library to help users submit better bug reports.
Install
scooby on PyPI
Before you install
Low install friction with no runtime dependencies. Active maintenance with recent commits and stable production status.
Requires Python 3.10 or later.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions.
Quickstart
pip install scooby
import scooby
scooby.Report()
# or use the alias
scooby.doo()Verify before relying
- Whether scooby can detect all modern hardware configurations (GPU, specialized accelerators) beyond CPU/RAM/architecture
- Performance impact when reporting on projects with hundreds of dependencies
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 114 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,704,651 / month, #3,638 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: Science/ResearchNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: scooby-0.11.2-py3-none-any.whl
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