A plan put together with small businesses and startups in mind.
Zoho Projects is a cloud-based project management solution that helps teams plan, track, collaborate, and achieve project goals.
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Resco toolkit for building mobile apps
A no-code toolkit for building responsive and resilient mobile business applications for Microsoft Power Platform, Dynamics 365, Dataverse and Salesfo
Deploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.
The Simple, Scalable, Script-based Science Processor for Measurements (S4PM) is a system for highly automated processing of science data, scalable up to large processing systems and scalable down to small, special-purpose processing strings.
Open Screening Environment is a open source system for management of High Throughput Screening related experiments. The platform consists of new research tools that will enhance significantly management and analysis of HTS data. More information can be f
Three software packages to work with RFC2617 digests: libdigest (C library to compute digests), libcppdigest (C++ library to manage /etc/passwd-like files) and libpam-digestfile (PAM module allowing authentication via an /etc/passwd-like file)
...It provides optimized emulation for newer SSE instructions. It also provides a rich set of high performance routines for common operations such as arithmetic, bitwise logic, and data packing and unpacking.
Remote Network Monitoring and Management for an IoT World
The Only RMM Solution You Need
Domotz is the premier Remote Network Monitoring and Management platform for IoT. We offer powerful network management software for MSP's, Integrators, Security Professionals, and Business Owners. Domotz enables the complete solution to cost-effectively manage and monitor your customers’ networks with plug and play setup, a friendly UX, and a comprehensive feature set, accessible from any desktop browser or mobile device. Utilize one interface to manage multiple networks at multiple locations anywhere in the World. One person can deploy remote monitoring and management in less than 15 minutes.
Red-Black Maps and Trees, written in Java. These Classes try to advoid the overhead produced by Sun's implementations. For example Trees are just Trees, nor self mapped Maps. Access on nodelevel is possible, reducing overhead while iterating over an map
OptorSim is a Grid simulator designed to test dynamic replication strategies used in optimising data location within a Grid. Each simulated site contains several storage or computing elements. Simulated jobs run and file accesses may trigger replication.
An easy to extend, highly graphical, easy to use 2D robot simulator specialized for path planning algorithms. Can be used in testing various robotic algorithms, and already used for comparison of path planning algorithms like RRT, RRTConnect, PRM, RboT..
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.
The Flexible Registration and Evaluation Engine (f.r.e.e.) allows the composition, evaluation and optimization of image processing/registration algorithms. It also aims to boost the exchangeability and comparability of data and algorithms in research.
The below is a list of all files released for the Crossbow's MNAV100CA with SPB400. This framework may provide a complete solution for AHRS, Navigation, WiFi Comm, and Data Logging, for various robotic applications.
The goal of this project is to build a co-occurrence network using google n-gram data. This project presents an easy and fast way to analyze Google n-gram data, which is contributed by Google Inc in 2006.
The classes in stdfuncs.inc.php provide general functions you can use while developping a PHP Application / Website or whatever. - Debugging - Time measurment - Sorting and Grouping - JSON Encoding - XML-Reading - FileSystem - Date handling
Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
CGL(C Generic Library) is a stl-like library written in pure C.It implements iterators, memory management,generic containers such as list,map, generic algorithms such as sort() and search(),and it can manipulate any types of data.
A simple PHP parser class that scans through poorly formed html documents as if they were valid XML, and generates calls to customizable callback functions.
The first stage of development is do write a tool to anonymize packet capture files captured with libpcap. After that we will be integrating this with tcpdump to anonymize in real-time and analyze and look for its effect on different IDS's.
An academic project where computer-science students can practice data structures principles. Based on the famous problem of the labyrinth rat, this application has an engine where you can run your own algorithms to help the robot to get out of the laby.
An attempt to design minimum cost broadband networks with the use of a modified version of the Particle Swarm Optimization method. A GIS subsystem is used for the visualization of data and results.
Locality Sensitive Hashing is an improved indexing method for high dimensional data. lshtools provides indexing with LSH and an intelligent non supervised subsampling strategy using this indexing method.