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Showing 4 open source projects for "cpu"
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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1
caffeine Database
A basic REST service for JSON data - enough for prototyping and MVPs
Caffeine is an open-source, lightweight application that provides real-time monitoring of server resource usage. It is designed for DevOps teams to track CPU, memory, disk, and network utilization in real time, helping diagnose performance bottlenecks. -
2
pgCenter
Command-line admin tool for observing and troubleshooting Postgres
pgCenter is a command-line monitoring and troubleshooting tool for PostgreSQL, inspired by tools like top. It provides real-time insight into query activity, locks, I/O, and system resources directly from the terminal. With its interactive UI, pgCenter helps DBAs diagnose performance issues and manage server health without switching tools. -
3
pg_flame
A flamegraph generator for Postgres EXPLAIN ANALYZE output
...The pg_flame program reads a JSON query plan from standard input and writes the flamegraph HTML to standard output. Therefore you can pipe and direct input and output however you desire. Flamegraphs were invented by Brendan Gregg to visualize CPU consumption per code-path of profiled software. They are useful visualization tools in many types of performance investigations. Flamegraphs have been used to visualize Oracle database query plans and query executions, proving useful for debugging slow database queries. Pg_flame is an extension of that work for Postgres query plans. ... -
4
tiedot
A rudimentary implementation of a basic document database in Go
tiedot is a document database engine that uses JSON as document notation; it has a powerful query processor that supports advanced set operations; it can be embedded into your program, or run a stand-alone server using HTTP for an API. It runs on *nix and Windows operating systems. tiedot has fault-tolerant data structures that put your data safety first, while easily scales to 4+ CPU cores. tiedot has very stable performance, even with millions of records! It consistently achieves high throughput, swallow more than 120k records or 80k complicated queries per second with confidence. The newest version 3.4 comes with general performance and compatibility improvements. tiedot is a very small project in the large open source community, it is growing fast thanks to the 800+ stars and watchers, as well as many contributors for their feedback, comments, ideas and code. -
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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