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slack

a DI container

SkipPyPI Software DevelopmentReleased Mar 2014153.6K downloads / moMITSource build

Decision gist · record as of 2026-08-14

sdist only — builds from source
v0.0.3 · released 2014-03-26

No. The package is abandoned (last commit 2014-05-27) and targets only Python 2.7 and 3.4, both unsupported. High install friction and no runtime dependencies suggest potential packaging issues. Modern alternatives with active maintenance exist for dependency injection in Python. Only consider if you are maintaining legacy Python 2.7 code and have verified compatibility.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Package targets Python 2.7 and 3.4 only; compatibility with modern Python versions is unverified.
  • High install friction with no runtime dependencies.
  • The package is abandoned—last commit was 2014-05-27, over a decade ago—and classified as Pre-Alpha.

License · maintenance · safety

MIT (permissive) — MIT license is permissive and imposes no restrictions on use, modification, or distribution.

last release 2014-03-26 (4524 days) · last repo commit 2014-05-27

0 known vulnerabilities (OSV.dev, 2026-08-14) · 153,577 downloads/mo, #10,876 on PyPI

Verify before relying

from slack import Container

c = Container()
c.register('component', MyClass)
instance = c.provide('component')
  • Whether the package actually works on modern Python versions despite targeting only 2.7 and 3.4
  • Whether the high install friction is due to a missing wheel or other packaging issue
  • Real-world usage patterns and whether the singleton-by-default behavior matches modern DI expectations
Same gist for agents: .md · .json

What it is and what it does

Slack is a lightweight dependency injection container that manages object lifecycle and dependency resolution. It registers components (classes or factory functions) by name and provides singleton instances on demand, automatically resolving declared dependencies from the container. It also supports partial injection to bind some dependencies while leaving others for later, decorator-based registration, and grouped lifecycle management with reset capabilities.

The package is designed for straightforward DI patterns in Python applications where you need centralized component registration and retrieval. However, it has been abandoned since 2014 and targets only Python 2.7 and 3.4, making it unsuitable for modern Python projects without significant verification of compatibility.

Use it for

  • Building small applications that need centralized dependency management without a full framework
  • Registering and retrieving singleton services in a monolithic application
  • Partial application of functions by pre-binding some dependencies while leaving others open
  • Organizing component lifecycle with grouped resets for test isolation or state management

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Skip

No.

The package is abandoned (last commit 2014-05-27) and targets only Python 2.7 and 3.4, both unsupported. High install friction and no runtime dependencies suggest potential packaging issues. Modern alternatives with active maintenance exist for dependency injection in Python. Only consider if you are maintaining legacy Python 2.7 code and have verified compatibility.

Install

slack on PyPI

Before you install

High install friction with no runtime dependencies. The package is abandoned—last commit was 2014-05-27, over a decade ago—and classified as Pre-Alpha. It targets Python 2.7 and 3.4, both long out of support.

Package targets Python 2.7 and 3.4 only; compatibility with modern Python versions is unverified.

License in practice

MIT license is permissive and imposes no restrictions on use, modification, or distribution.

Quickstart

from slack import Container

c = Container()
c.register('component', MyClass)
instance = c.provide('component')

Verify before relying

  • Whether the package actually works on modern Python versions despite targeting only 2.7 and 3.4
  • Whether the high install friction is due to a missing wheel or other packaging issue
  • Real-world usage patterns and whether the singleton-by-default behavior matches modern DI expectations

Package facts

LicenseMIT permissive
Python supportNot specified
Install frictionHigh. Source build required
Runtime dependenciesNone
MaintenanceAbandoned 4,524 days since the last release
Last repo commit
First released
Downloads153,577 / month, #10,876 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 2 - Pre-AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2.7Programming Language :: Python :: 3.4

Tags

Capabilities
dependency injection containerDI container pythonsingleton instance providerservice locator patterninversion of control container
Topics
di-containerabandoned
PyPI keywords
DIContainer

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See also dependency-injector · dishka · punq · injector · kink · simple-di · wireup · rodi · pinject · picobox