1 रिपॉजिटरी
Awesome GitHub RepositoriesSchema-Agnostic Aggregators
Normalizes disparate log formats from multiple coding assistants into a unified internal representation.
Distinct from Data Normalization and Schema Enforcement: Focuses on log normalization for analysis, distinct from general schema enforcement.
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Awesome Schema-Agnostic Aggregators GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- ryoppippi/ccusage
ryoppippi/ccusage
10,826GitHub पर देखेंThis project is a command-line utility designed to monitor and analyze token consumption and financial expenditure for AI coding assistants. By parsing local session logs directly on the user's machine, it provides a privacy-focused way to track development activity without transmitting sensitive data to external servers. The tool distinguishes itself through its ability to aggregate disparate log formats from multiple coding assistants into a unified, schema-agnostic representation. It features a decoupled pricing engine that allows users to apply custom model-specific cost multipliers, over
Normalizes disparate log formats from multiple coding assistants into a unified internal representation for consistent analysis.
TypeScript
