Pipulate is Local First AI SEO Software
In an era dominated by cloud subscriptions and complex frameworks, Pipulate champions a local-first revolution. Itβs a free, open-source framework that transforms how you build AI-assisted applications by embracing a radical philosophy: explicit code is better than abstract code when you have AI to help manage it. Think notebooksβ¦ but without having to look at the Python code π«π!
Your data. Your AI. Your machine. Your control.
No subscriptions, no vendor lock-in, no cloud costs.
Quick Start: Be Running in 5 Minutes
This guide shows you how to install Pipulate using two main commands in your terminal. This works on macOS or on Windows using WSL (Windows Subsystem for Linux) with an Ubuntu (or similar Linux) terminal.
π¦ Your Machine π§ Add Foundation π Complete Environment
Today with Nix Ready to Go!
βββββββββββββββ βββββββββββββββ βββββββββββββββ
β Sad Computerβ Step 1 β ποΈ Nix β Step 2 β π― Pipulate β
β Without β βββββββββββΊ β Foundation β βββββββββββΊ β + AI + β
β Nixπ’ β β Installed β β Jupyter β
βββββββββββββββ βββββββββββββββ βββββββββββββββ
β
Step 3 β
βΌ
βββββββββββββββ
β π Browser β
β Opens β
βAutomaticallyβ
βββββββββββββββ
Simple as 1-2-3! No Docker, no build steps, no cloud dependencies.
Everything runs locally with complete privacy and control.
1. Install Nix (One-Time Setup)
curl --proto '=https' --tlsv1.2 -sSf -L https://install.determinate.systems/nix | sh -s -- install
Close your terminal and open a new one after installation.
2. Install Pipulate
With a custom name
curl -L https://pipulate.com/install.sh | sh -s Botifython
Or default installation
curl -L https://pipulate.com/install.sh | sh
3. Run It
cd ~/Botifython
nix develop
These few commands:
- β Updates to the latest version automatically
- β Starts JupyterLab and the Pipulate server
- β Opens web interfaces in your browser
- β Provides a complete, reproducible development environment
Thatβs it! You now have a local-first development environment with AI integration.
4. Run It Again!
- You can just forcibly exit out of that Terminal itβs running from.
- Open a new Terminal, and once again:
cd ~/Botifython
nix develop
5. The Big Reset (If Necessary)
Things sometimes go wrong. This is how you do a full Pipulate reset. This will also delete anything you downloaded with Pipulate. Adjust custom install name to what you used.
rm -rf ~/Botifython
curl -L https://pipulate.com/install.sh | sh -s Botifython
cd ~/Botifython
nix develop
Wait for BOTH TABS to auto-open in your browser.
The Local-First Revolution in AI-Assisted Development
π― For SEO Practitioners
Use apps that produce SEO βdeliverablesβ with AI assistance.
- Step-by-step interfaces that guide users through complex processes
- Local data processing with no cloud limits or costs
- AI-assisted analysis using your own local models
- Export capabilities for reports and data visualization
Integrated Data Science Environment
Jupyter Notebooks run alongside the FastHTML server, allowing developers to prototype workflows in a familiar environment before porting them to Pipulateβs step-based interface for end-users. The same Python virtual environment (.venv
) is shared, and ad-hoc package installation is supported. If youβre using Cursor, VSCode or Windsurf, set your Ctrl
+Shift
+P
βPython: Set Interpreterβ to βEnter Interpreter Pathβ ./pipulate/.venv/bin/python
. You might have to adjust based on the folder you use as your workspace. But then youβll have a Python environment unified between Cursor, JupyterLab and Pipulate.
ββββββββββββββββββββ ββββββββββββββββββββ
β Jupyter Lab β β FastHTML β
β Notebooks β β Server β
β ββββββββββββ β β ββββββββββββ β
β β Cell 1 β β β β Step 1 β β
β β β β--->β β β β
β ββββββββββββ β β ββββββββββββ β
β ββββββββββββ β β ββββββββββββ β
β β Cell 2 β β β β Step 2 β β
β β β β--->β β β β
β ββββββββββββ β β ββββββββββββ β
β localhost:8888 β β localhost:5001 β
ββββββββββββββββββββ ββββββββββββββββββββ
π οΈ For Developers
Transform your Jupyter Notebook experiments into production-ready workflows:
- Reproducible environments with Nix Flakes
- Simple architecture that one person can understand
- Future-proof stack using web standards
- Integrated development with JupyterLab and local AI
What You Can Build
Pipulate excels at data processing workflows and AI-assisted applications:
- SEO Analysis Tools: Process search console data, analyze competitors, generate reports
- Content Generation: AI-powered writing assistants with local models
- Data Dashboards: Transform spreadsheets into interactive web applications
- Automation Workflows: Step-by-step processes for repetitive tasks
- Research Tools: Analyze data with local AI without privacy concerns
How It Works: Simplicity Meets Power
Pipulate runs like a desktop app but uses web technologies. Think Electron, but better:
- π Local-First: Everything runs on your machine - data, AI, and processing
- π Auto-Updating: One command keeps everything current
- π Cross-Platform: Identical experience on macOS, Linux, and Windows (WSL)
- π§ AI-Integrated: Local LLM integration with full privacy
Why Local-First Wins
Cloud-First | Pipulate Local-First |
---|---|
πΈ Monthly subscriptions | π Free forever |
π Vendor lock-in | π Full control |
π‘ Internet required | π Works offline |
π API rate limits | β‘ No limits |
ποΈ Data mining | π Complete privacy |
π Constant updates break things | π‘οΈ Stable, reproducible environment |
Why Pipulate? The Philosophy That Changes Everything
Traditional development follows the DRY (Donβt Repeat Yourself) principle, creating abstract, complex systems that are hard to understand and modify. Pipulate embraces WET (Write Everything Twice) - explicit, readable workflows that are:
- π Observable: See exactly whatβs happening at every step
- π§ Customizable: Modify workflows without breaking abstractions
- π€ AI-Friendly: Clear code that AI assistants can easily understand and maintain
- π Future-Proof: Built on durable web standards that wonβt become obsolete
Learn more about the WET Philosophy β
The Technical Magic
# This is how simple Pipulate code looks
@rt("/process-data")
def process_data():
return Div(
H1("Processing Complete β
"),
P("Your data has been analyzed locally"),
hx_get="/next-step",
hx_trigger="load"
)
No template languages. No build steps. No client-side JavaScript frameworks. Just Python functions that generate HTML, powered by HTMX for seamless interactivity.
Architecture Overview Diagram
This diagram illustrates the high-level components and their interactions
βββββββββββββββ Like Electron, but full Linux subsystem
β Browser β in a folder for macOS and Windows (WSL)
βββββββ¬ββββββββ
β HTTP/WS
βΌ
βββββββββββββββββββββββββββββββββββββββββ
β Nix Flake Shell β - In-app LLM (where it belongs)
β βββββββββββββββββ ββββββββββββββββ β - 100% reproducible
β β FastHTML β β Ollama β β - 100% local
β β HTMX App β β Local LLM β β - 100% multi-OS
β βββββββββ¬ββββββββ ββββββββββββββββ β
β β β
β βββββββΌββββββ ββββββββββββββ β
β βMiniDataAPIββββββΊβ SQLite DB β β
β βββββββββββββ ββββββββββββββ β
βββββββββββββββββββββββββββββββββββββββββ
This complete, self-contained environment runs identically on any operating system, providing the foundation for all Pipulate workflows and AI interactions.
The Complete Guided Experience
Ready to dive deeper? Our Guide takes you through the complete journey:
- The WET Blueprint - The philosophy that changes everything
- Understanding Pipulate - Architecture and approach
- Building Your First Workflow - Hands-on development
- Advanced Patterns - Expert-level techniques
System Requirements
- macOS: 10.15 or later
- Linux: Most modern distributions
- Windows: WSL2 with Ubuntu 20.04+
- Memory: 8GB RAM recommended
- Storage: 2GB free disk space
Join the Local-First Revolution
The future of software development is looking more like the past, but with AI capabilities that make it even better. Itβs a future where:
- One person can understand and manage the whole stack
- Privacy is the default, not an afterthought
- Tools are simple but powerful
- Users have complete control
Start your revolution today.
Install Pipulate β | Read the Guide β | View the Code β |
Pipulate is free and open source software created by Mike Levin. Join the movement toward local-first, AI-assisted development.