๐ฅ Trending Repository: motia
๐ Description: Modern Backend Framework that unifies APIs, background jobs, workflows, and AI agents into a single cohesive system with built-in observability and state management.
๐ Repository URL: https://github.com/MotiaDev/motia
๐ Website: https://motia.dev
๐ Readme: https://github.com/MotiaDev/motia#readme
๐ Statistics:
๐ Stars: 6K stars
๐ Watchers: 47
๐ด Forks: 471 forks
๐ป Programming Languages: TypeScript - MDX - Python - JavaScript - CSS - Ruby
๐ท๏ธ Related Topics:
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๐ง By: https://t.iss.one/DataScienceM
๐ Description: Modern Backend Framework that unifies APIs, background jobs, workflows, and AI agents into a single cohesive system with built-in observability and state management.
๐ Repository URL: https://github.com/MotiaDev/motia
๐ Website: https://motia.dev
๐ Readme: https://github.com/MotiaDev/motia#readme
๐ Statistics:
๐ Stars: 6K stars
๐ Watchers: 47
๐ด Forks: 471 forks
๐ป Programming Languages: TypeScript - MDX - Python - JavaScript - CSS - Ruby
๐ท๏ธ Related Topics:
#javascript #ruby #python #api #framework #ai #backend #agi #developer_tools #agents #genai
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๐ง By: https://t.iss.one/DataScienceM
โค6
๐ JSON Parsing for Large Payloads: Balancing Speed, Memory, and Scalability
๐ Category: DATA ENGINEERING
๐ Date: 2025-12-02 | โฑ๏ธ Read time: 12 min read
When processing large JSON payloads, the choice of a parsing library is critical for system performance. This benchmark analysis explores the trade-offs between various libraries, focusing on key metrics like parsing speed, memory consumption, and overall scalability. Discover which tools offer the optimal balance for high-volume data scenarios, helping you make informed decisions for building efficient and resilient applications.
#JSON #Performance #Benchmarking #DataEngineering #Backend
๐ Category: DATA ENGINEERING
๐ Date: 2025-12-02 | โฑ๏ธ Read time: 12 min read
When processing large JSON payloads, the choice of a parsing library is critical for system performance. This benchmark analysis explores the trade-offs between various libraries, focusing on key metrics like parsing speed, memory consumption, and overall scalability. Discover which tools offer the optimal balance for high-volume data scenarios, helping you make informed decisions for building efficient and resilient applications.
#JSON #Performance #Benchmarking #DataEngineering #Backend
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