New to Pint? Check out the getting started guides. They contain an introduction to Pint’s main concepts and links to additional tutorials.
README.md Aim Handle 1 Million Concurrent Connections using Ruby App should remain responsive and be able to process at least 100 requests per second App should consume MAX 15GB of RAM and keep load under 10 on a 8 CPU machine App should communicate to clients every 15 seconds without any lags Ruby Software Espresso Framework - fast and easy to use. Rainbows! Web Server - supports streaming and fo
Participate Fork the source code, join the mailing lists, report bugs to the issue tracker or participate in the next coding sprint. Read More... Funding This project is maintained by Muriçoca Labs, and others. Crab - scikits.recommender: Recommender systems in Python Crab as known as scikits.recommender is a Python framework for building recommender engines integrated with the world of scientific
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