Search Results for "asynchronous"
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Showing 5 open source projects for "asynchronous"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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NautilusTrader
A high-performance algorithmic trading platform
NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the... -
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M. Vezelis Bits Visualiser
It helps you track your personal budget and visualises income/expenses
The application helps you track your personal budget income and expenses, and visualises the in and out flows. The visualiser lets you set the targets that you expect to reach in the budget, and the asynchronous transactions scheduler keeps a track of such budget changes in the background. The observations summary panel gives you information on the current status of the budget. The data gets seamlessly highly encrypted underneath the system. -
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SlickGrid
A lightning fast JavaScript grid/spreadsheet
...The grid also adapts to the direction and speed of scroll to minimize the number of rows that need to be swapped out and to dynamically switch between synchronous and asynchronous rendering. -
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The Vyper Dynamic Server framework is a pure-java library for use in the creation of backend / server platforms. VDS is specifically tailored for financial applications, and suited for many high-throughput, asynchronous and distributed environments.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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Software for"job management" for manage people with engagement to your customers.Employers can use it to create day-report,and store it and upload it asynchronous to central repository.Management can consult central repository for billing cycle
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