Search Results for "chat"
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Showing 5 open source projects for "chat"
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All-in-one security tool helps you prevent ransomware and breaches.Blumira’s detection and response platform enables faster resolution of threats to help you stop ransomware attacks and prevent data breaches. We surface real threats, providing meaningful findings so you know what to prioritize. With our 3-step rapid response, you can automatically block known threats, use our playbooks for easy remediation, or contact our security team for additional guidance. Our responsive security team helps with onboarding, triage and ongoing consultations to continuously help your organization improve your security coverage.
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Financial reporting cloud-based software.The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
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YakYak
Desktop chat client for Google Hangouts
Yakyak is an open-source, unofficial Hangouts desktop client built in CoffeeScript and Electron/Node.js. It emulates an iOS device to connect to Google Hangouts APIs, enabling messaging, status indicators, and notifications on Windows, macOS, and Linux—eliminating the need for a Chrome-based Hangouts app. -
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Talk-OS
Open source version of jianliao
...Because it’s self-hostable, organizations can run it on their own infrastructure and customize authentication, integrations, and UI behavior to match internal policies. Its architecture demonstrates a typical modern chat stack with a JavaScript front end and a real-time backend, suitable for small companies and hobby teams that want Slack-style workflows without a hosted dependency. -
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Hubot Scripts
Optional scripts for hubot, opt in via hubot-scripts.json
hubot‑scripts is a now‑deprecated repository containing a curated collection of community‑contributed scripts for Hubot, GitHub's chat‑ops bot, allowing users to extend its functionality easily. Any third-party dependencies for scripts need the addition of your package.json otherwise, a lot of errors will be thrown during the startup of your hubot. You can find a list of dependencies for a script in the documentation header at the top of the script. The best way is to take a look at an existing script and see how things are set up. ... -
4
At.js
Add Github like mentions autocomplete to your application
...It allows developers to bind actions to character triggers (like @ or #) and display suggestion dropdowns with customizable behavior. The plugin is especially useful for building social platforms, chat apps, or collaborative editors. -
AI-First Supply Chain ManagementLogility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.
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5
Bone.io
Realtime HTML5 Framework
...It organizes communication into channels and events, so the server can push data to the browser and the browser can send commands back without boilerplate. The framework focuses on mapping server-side logic to UI updates directly, which makes patterns like live dashboards, chat, and collaborative editing easier to implement. Abstracting transport details, it lets developers concentrate on domain messages and state transitions rather than wiring up socket handlers repeatedly. The client side integrates cleanly with common frontend architectures, enabling incremental adoption in existing projects. Overall, bone.io targets teams who want a minimal, understandable real-time layer that keeps codebases small while still supporting rich, low-latency interactions.
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