p-org/p

The P programming language.

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Summary Information

Updated 6 minutes ago
Added to GitGenius on September 18th, 2026
Created on June 21st, 2015
Open Issues & Pull Requests: 32 (+0)
GitHub issues: Enabled
Number of forks: 223
Total Stargazers: 3,687 (+0)
Total Subscribers: 103 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.5 days
Mean response time: 64.6 days
90th percentile: 217.7 days
Tracked items: 35

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Issue Activity (beta)

Open issues: 12
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 293 days
Stale 30+ days: 10
Stale 90+ days: 7

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • BUG: P Compiler (1)
  • Feature Request (1)
  • P Language Enhancement (1)

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Detailed Description

P is a state machine based programming language for formally modeling and specifying complex distributed systems.

P addresses the challenge of reasoning about correctness in distributed systems by allowing developers to express system designs as collections of communicating state machines and then apply automated model checking to verify that implementations satisfy desired correctness properties. The language treats state machines as a natural abstraction for microservices and service-oriented architectures, enabling developers to catch design flaws through formal verification before implementation begins rather than discovering them through testing or in production.

Teams building microservices, storage systems, databases, and other distributed services should consider P when correctness is critical and design complexity makes informal reasoning unreliable. The tool suits projects where early detection of corner-case bugs justifies the upfront investment in formal modeling. The framework includes PeasyAI for AI-powered generation of P models and specifications from design documents, and PObserve for runtime monitoring that validates production systems against their formal specifications. The language provides multi-error compilation that reports all type errors in a single pass, which accelerates iteration when using AI-assisted code generation.

The project maintains active development with recent additions of AI-powered code generation capabilities integrated with mainstream development tools, runtime monitoring features that bridge design-time verification with production behavior, and compiler improvements targeting modern development workflows. The tool has seen adoption across multiple teams building flagship distributed systems, indicating sustained real-world validation of its approach to eliminating critical bugs early in the development process.