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Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket 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.
daddyQ, written in Python, monitors and logs disk usage on file servers, and take actions on excessive disk usage. Users that are often over their quota or are over the quota with excessive disk usage get their files deleted.
RRFiller provides an easy-to-use solution for logging statistics into an RRDTool database. Designed to complement RRGrapher, the project also provides configurations for creation and updating RRD databases using standard tools like vmstat and netstat.
Pymoodss is a multithreading python extension library for
the moodss server monitoring system. Modules for mod_backhand, df, psgrep,
ping, mdstat are avaible.
Award-Winning Medical Office Software Designed for Your Specialty
Succeed and scale your practice with cloud-based, data-backed, AI-powered healthcare software.
RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
The Secure Remote Log Monitor (SRLM) project provides client and server
utilities that collect application or system log files from multiple systems over an untrusted network onto a central server for analysis and action.
Sarvant (SAR Visual ANalysis Tool) is a python script that will analyze a sar file (from the sysstat utility, 'sar') and produce graphs using gnuplot of the collected data.
DPytHOS is a means for administrators of large networks to both
monitor and manage the servers under their control.
DPytHOS is implemented in python and uses a generic database
back-end (with MySQL supported and MS-SQL 2000 supported via
XML)
Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.
By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
Logpecker is a tool for syslog files like /var/log/messages. More flexible than a simple regexp matcher, you can use syslog facility and priority. Messages that appear too often are sieved out. Generates root-tail tickers, reports, active event lists
Originally written by Paul Vixie in 1986 and distributed through mod.sources, "display" is a program which will repeatedly execute a command and display the output through curses. The purpose of this project is to maintain and extend display.
Shadow Watcher is a Peer to Peer log sharing tool for the security analyst. Consider it a "community watch" program which allows you to keep your system secure from the threats on the internet and help others do the same.
Mutant is a multi-threaded command line monitoring tool, written in Python, using the ncurses library. With it, you can watch the output from multiple commands in a single terminal. Each command has a specific interval and color.
This project offers a client/server tool to analyze the /var/log/auth.log in order to gather information about the login attempts. The information is sent to a server side where the datas are stored in a sqlite database.