Search Results for "work time"

...Made for efficient data access, the ObjectBox Flutter database is 10x faster than any alternative. See the performance benchmarks below. No need to learn SQL, as our NoSQL database uses a pure Dart API that is easy to work with and can be integrated in minutes. Plus: We built a data synchronization solution that allows you to choose which objects to sync when and keep data easily and efficiently in sync across devices. Improving response rates and enabling real-time applications. Atomic, Consistent, Isolated, Durable. Grows with your app, handling millions of objects with ease. ...

The AWS IoT Device SDK for Embedded C (C-SDK) is a collection of C source files under the MIT open source license that can be used in embedded applications to securely connect IoT devices to AWS IoT Core. It contains MQTT client, HTTP client, JSON Parser, AWS IoT Device Shadow, AWS IoT Jobs, and AWS IoT Device Defender libraries. This SDK is distributed in source form and can be built into customer firmware along with application code, other libraries, and an operating system (OS) of your...

EPESI BIM (Business Information Manager) is a fully functional web CRM/ERP application to store, organize, access and share business records. Manage your data precisely, flexibly and easily, simplifying internal communication and making work-flow more efficient. Epesi has been designed as a Kickstarter project and provides "no code" and "low code" environment for developers. You can quickly create your own modules: https://epesi.org/devtutorial/helloworld Setting up EPESI Web Application...

...The monkey remembers previous states and can show you exactly what changed, and when. Security Monkey can be extended with custom account types, custom watchers, custom auditors, and custom alerters. It works on CPython 2.7. It is known to work on Ubuntu Linux and OS X. Security Monkey accesses accounts to scan via credentials it is provided.

Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. ...