Checksum generates, runs, and maintains end-to-end tests automatically so your team ships with confidence as code output grows.
Coding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
Learn More
The CI/CD Platform built for Mobile DevOps
For mobile app developers interested in a powerful CI/CD platform for mobile app development and mobile DevOps
Save time, money, and developer frustration with fast, flexible, and scalable mobile CI/CD that just works. Whether you swear by native or would rather go cross-platform, we have you covered. From Swift to Objective-C, Java to Kotlin, as well as Xamarin, Cordova, Ionic, React Native, and Flutter: Whatever you choose, we will automatically configure your initial workflows and have you building in minutes.
A wireless push-type networksimulator that considers locality of demand for performance improvement. The network environment consists of multiple directed emitters for parallel data broadcasting. Performance depends on the mean response time of clients.
The program Virtual NetworkSimulator for Web 2.0 is a tool that allows the simulation of assembly and configuration of computer network projects, virtual or physical. It also simulate the sending of a package between the hots of origin and destinati
For new versions, check https://github.com/Darkkey/javaNetSim
javaNetSim (Java NetworkSimulator) - it's a fork of a project jFirewallSim. The main goal of javaNetSim is creating a software to simulate various TCP/IP networks based on Ethernet, WiFi, PPP, etc...
This educational software simulates an Ad-hoc network with AODV algorithm, it uses a high level view and only works in Routing layer. it has a user-friendly graphical user interface and has been written in java language.
The top-rated AI recruiting platform for faster, smarter hiring.
Humanly is an AI recruiting platform that automates candidate conversations, screening, and scheduling.
Humanly is an AI-first recruiting platform that helps talent teams hire in days, not months—without adding headcount. Our intuitive CRM pairs with powerful agentic AI to engage and screen every candidate instantly, surfacing top talent fast. Built on insights from over 4 million candidate interactions, Humanly delivers speed, structure, and consistency at scale—engaging 100% of interested candidates and driving pipeline growth through targeted outreach and smart re-engagement. We integrate seamlessly with all major ATSs to reduce manual work, improve data flow, and enhance recruiter efficiency and candidate experience. Independent audits ensure our AI remains fair and bias-free, so you can hire confidently.
NoCsim is a base library and front end for simulating Network On Chip environments utilizing Wormhole or Virtual Cut-Through routers. The current usage of the simulator includes experimentation with various routing protocols and functional unit mappings.
The goal of this project is to be an improvement of the original Network Animator (NAM) module provided as part of the NetworkSimulator 2 (NS2). This tool provides topology visualization, TCL script generation, and enhanced simulation animation.
A java based network and firewall simulator that allows users to set and test the effectiveness of firewall rules using either a command line interface or graphical user interface.
Netsim is a mobile ad hoc networksimulator targeted at large heterogeneous node configurations. It is written in Java and is easily extensible through its modular concept.
JNS is a Java version of the ns-2 networksimulator originally from Berkeley.
It allows developers of routing and other network protocols to simulate their protocols under various conditions.
For AI teams and Computer Vision team in organizations of all size
AI-Assisted features of the Ango Hub will automate your AI data workflows to improve data labeling efficiency and model RLHF, all while allowing domain experts to focus on providing high-quality data.
Simple GUI tool for creating and manipulating WSN topologies
TOPO is a simple tool that allows the user to create and manipulate arbitrary Wireless Sensor Network (WSN) topologies without worrying about the anomalies that could arise using a text-base topology description. It is fast and easy to use and can accelerate small scale projects such as network simulation.
The tool is still undergoing development stage and is open to extension. One the candidate component to be soon integrated is a WSN discrete event simulator.