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Python dependency isolation
for multi-module projects.
Written in C++ · ~1ms overhead · Zero conflicts
curl -sSL https://raw.githubusercontent.com/NoahPodcast/adiboupk/main/install.sh | bash
Group Isolation¶
One venv per directory. Each module gets its own dependencies without conflicts.
Package Isolation¶
Fine-grained control — isolate individual packages when needed.
Native Performance¶
C++ binary with ~1ms overhead. No Python runtime needed for the CLI.
Dependency Audit¶
Detect version conflicts across groups before they break production.
Smart Lock File¶
Reinstalls only when requirements.txt changes. No wasted time.
Cross-Platform¶
Linux and Windows from the same codebase.
The Problem¶
When a project contains multiple Python modules each with their own requirements.txt, a global pip install causes version conflicts — the last install wins, silently breaking other modules.
project/
├── Analytics/
│ ├── script1.py
│ └── requirements.txt ← requests==2.28.0
├── Notifications/
│ ├── script2.py
│ └── requirements.txt ← requests==2.32.5
script1.py expects requests 2.28.0 but gets 2.32.5 (or vice versa).
The Solution¶
adiboupk creates an isolated venv per group of scripts and transparently routes each execution to the correct environment.
graph LR
A[adiboupk run script1.py] --> B{Which group?}
B -->|Analytics| C[".venvs/Analytics/"]
B -->|Notifications| D[".venvs/Notifications/"]
C --> E["python script1.py<br/>requests==2.28.0"]
D --> F["python script2.py<br/>requests==2.32.5"]
Quick Start¶
# Install
curl -sSL https://raw.githubusercontent.com/NoahPodcast/adiboupk/main/install.sh | bash
# Initialize & run
cd my-project/
adiboupk setup
adiboupk run ./Analytics/data_fetch.py hostname123
Each script automatically uses the correct dependencies.
Integration¶
Replace python with adiboupk run in your orchestration scripts: