Search results for Gnumeric

Numeric supercharges accounting workflows, increasing speed through efficiency, building confidence through accuracy, and delivering insight through detail. Numeric provides accounting teams with a centralized view of their month-end close, so they can work faster and close sooner. More collaborative. More repeatable. More consistent. Numeric is where accounting teams work together and financial data comes together to find order.

Struggling to meet ambitious sales targets? Numerik is the roadmap and rocket fuel that drives teams to smash through goals. We consolidate all sales capabilities so your reps have the data-driven insights and real-time visibility needed to excel in one intuitive mobile platform. By syncing live with your CRM, Numerik offers an engaging way to capture customer interactions while delivering up-to-the-second metrics and forecasts to inform strategic decisions. With in-the-moment coaching, your sellers are set up for peak performance. By eliminating manual reporting and streamlining workflows in an experience designed specifically for field sales needs, Numerik allows you to focus teams on selling rather than jumping between platforms. Target standout opportunities, adjust strategy on the fly, and ensure no revenue potential goes unseen. For sales leaders seeking to operationalize growth through empowered teams, Numerik is the solution.

Scilab is a free open-source software for numerical computation and simulation similar to Matlab/Simulink.

Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

SandboxAQ's Large Quantitative Models (LQMs) are advanced AI systems that utilize quantitative data and fundamental equations from physics, chemistry, and mathematics to simulate complex real-world systems with high precision. These models are designed to process extensive numerical datasets and perform intricate calculations, enabling accurate predictions and analyses across various industries. By integrating neural networks with physics-based simulations, LQMs provide deterministic and reliable outputs, addressing challenges that traditional AI models may not effectively solve.

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.

Numetric, a Traffic Safety Analytics Solution Provider, empowers state and local agencies to achieve greater confidence and consensus around resource investment decisions and save more lives on our roadways. It accomplishes this through its off-the-shelf, configurable, cloud-based Traffic Safety Analytics Platform and its suite of easy-to-use applications which are purpose-built to allow agencies to perform critical analyses faster and with more depth, easily share data with all relevant groups, and make more informed decisions to optimize investments and reduce fatal crashes. To learn more, visit numetric.com.

PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.

The Meteomatics Weather API provides accurate, real-time, historical, and forecast weather data, designed to meet a variety of use cases across industries such as energy, aviation, logistics, and agriculture. Features: - Global Coverage: Access weather data for any location worldwide. - Comprehensive Data Sources: Combines information from over 110 models and data sources, including numerical and AI-based weather models. - High-Resolution Data: Offers fine spatial and temporal granularity, with updates as frequent as every 5 minutes and resolutions down to 90 meters. - Historical Data: Provides historical data from 1979, including historical forecast data. - Forecast Data: deterministic forecasts for up to 15 days, extended forecasts for up to 46 days, ensemble trend forecast for up to 7 months. - Climate Data: Climate projections up to the year 2100. - Integration Support: The RESTful API supports multiple formats (e.g., JSON, CSV) and works with Python, R, Matlab, Excel, and other tools. - Customizable Outputs: Delivers tailored datasets, including temperature, precipitation, wind, humidity, solar radiation, and specialized weather indices. - Real-Time Updates: Includes nowcasts and live updates for time-sensitive applications. - Industry-Specific Applications: Offers datasets relevant to various industries, such as energy forecasting, route planning, and crop management. - Exclusive access to Meteomatics' proprietary weather models with a resolution of 1 kilometer.

Numericcal provides tools to help you reach your implementation goals quickly and effortlessly.

Inkscape is a free and open-source vector graphics editor available for GNU/Linux, Windows, and macOS. It is widely used for creating both artistic and technical illustrations, including cartoons, clip art, logos, typography, diagrams, and flowcharts. By utilizing vector graphics, Inkscape ensures sharp printouts and renderings at any resolution, unlike raster graphics that are limited by pixel count. The software employs the standardized Scalable Vector Graphics (SVG) file format as its primary format, which is supported by many other applications, including web browsers. Key Features and Functionality: - Object Creation: Inkscape offers a variety of tools for drawing and shaping objects, such as the Pencil tool for freehand drawing, the Pen tool for creating Bézier curves and straight lines, and the Calligraphy tool for producing filled paths that mimic calligraphic strokes. It also includes shape tools for rectangles, ellipses, stars, polygons, and spirals. - Object Manipulation: Users can perform transformations like moving, scaling, rotating, and skewing objects both interactively and by specifying exact numeric values. Inkscape supports grouping objects, layering, and aligning and distributing objects for precise design control. - Text Support: The software provides a comprehensive text tool that allows for multi-line text, full on-canvas editing, and the ability to flow text along a path or into a shape. Users can adjust font, spacing, kerning, and more. - File Format Compatibility: Inkscape can import and export various file formats, including SVG, AI, EPS, PDF, PS, and PNG, facilitating interoperability with other graphic design tools. - Extensibility: Designed to be extensible, Inkscape allows users to customize its functionality with add-ons, enhancing its capabilities to meet specific needs. Primary Value and User Solutions: Inkscape provides a powerful, free alternative to proprietary vector graphics editors, enabling users to create high-quality illustrations without financial barriers. Its support for the SVG standard ensures compatibility and ease of sharing across different platforms and applications. The software's comprehensive feature set, combined with its user-friendly interface and multi-lingual support, makes it accessible to a broad audience, from beginners to professional designers. By offering tools for precise object creation and manipulation, robust text support, and compatibility with various file formats, Inkscape addresses the diverse needs of users seeking a versatile and cost-effective solution for vector graphic design.

Breeze is a numerical processing library for Scala.

Cyn.in is a collaboration software that helps teams to communicate faster and build collaborative knowledge by sharing and discussing various forms of digital content within a secure, unified application. It combines the capabilities of collaboration tools like wikis, social networks, blogs, file sharing repositories, micro blogs, discussion boards and other communication applications into one secure enterprise platform. Cyn.in is designed to be used by businesses and institutions of all sizes.

DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning (pessimistic pruning), parallelized bagging (random forests), adaptive boosting (decision stumps), cross validation (n-fold) and support for mixed nominal and numerical data.

Amazon Route 53 is a highly available and scalable cloud-based Domain Name System (DNS) web service designed to route end users to internet applications by translating domain names into numeric IP addresses. It enables developers and businesses to manage domain registration, DNS routing, and health checking, ensuring reliable and cost-effective connectivity for their applications. Key Features and Functionality: - Domain Registration: Allows users to search for, register, and manage domain names directly within the service. - DNS Routing: Provides globally distributed DNS servers that automatically scale to handle varying workloads, ensuring low-latency and reliable routing of end-user requests. - Traffic Management: Offers advanced routing policies, including latency-based routing, geolocation routing, and weighted round-robin, enabling fine-grained control over how traffic is directed to application endpoints. - Health Checks and Monitoring: Continuously monitors the health of application endpoints and can automatically reroute traffic to healthy resources in case of failures, enhancing application availability. - Integration with AWS Services: Seamlessly integrates with other AWS services like Amazon EC2, Elastic Load Balancing, and Amazon S3, facilitating the creation of scalable and robust architectures. Primary Value and User Solutions: Amazon Route 53 simplifies the management of domain names and DNS routing, providing a reliable and scalable solution for directing end-user traffic to internet applications. By offering advanced traffic management capabilities and health monitoring, it enhances application availability and performance. Its integration with other AWS services allows for streamlined operations and the development of resilient, scalable applications, addressing the needs of businesses seeking efficient and dependable DNS management.

PhysicsX is an AI-native engineering platform designed to revolutionize the entire product lifecycle by integrating advanced artificial intelligence into design, manufacturing, and operational processes. By combining rapid AI-driven physics inference with traditional numerical simulations, PhysicsX enables enterprises to accelerate development, reduce risks, and create highly optimized products across critical industrial sectors such as aerospace, automotive, semiconductors, materials, and energy. Key Features and Functionality: - Simulation Workbench: A unified system for managing and orchestrating simulations, facilitating efficient handling of experimental and operational data, including 2D/3D analysis, transformation, labeling, and data lineage. - AI Workbench: An environment dedicated to the development and deployment of Deep Physics Models (DPMs), offering advanced model architectures, optimization tools, built-in uncertainty quantification, and benchmarking capabilities. - Engineering Applications: Intuitive, no-code solutions that allow engineers and technicians to seamlessly deploy AI-powered applications for optimization and process control. - Enterprise-Ready Infrastructure: Features multi-cloud scalability, integration with Computer-Aided Engineering (CAE) software, and robust security measures to protect critical intellectual property. Primary Value and User Solutions: PhysicsX addresses the challenges of slow and costly simulations, fragmented workflows, and the loss of valuable engineering insights. By providing fast, accessible digital engineering solutions supported by deep domain expertise, the platform enables: - Reduced Time to Market: Significantly cuts simulation run times from hours to seconds, accelerating design cycles, optimizing processes, and boosting manufacturing throughput. - Maximized Performance: Enhances the performance of components and systems across multi-physics domains by leveraging simulation and real-world data. - Knowledge Capture: Builds reusable AI and simulation assets that compound over time, fostering continuous improvement and innovation. - Improved Collaboration: Unifies workflows across domains and teams, enabling deep collaboration and innovation at scale. By integrating AI across the engineering lifecycle, PhysicsX empowers organizations to achieve breakthroughs in performance, efficiency, and speed, transforming how products are designed, manufactured, and operated.

Gavel is easy to use legal automation software with powerful document automation for Word, PDF, or other .docx documents. Easily collect client intake, set up robust nested conditional logic, numerical and date calculations, and collect and populate lists. Grow your practice by building legal products. Make your Gavel workflows client-facing to collect client intake data. For the legal tech entrepreneurs, go a step further by building a "TurboTax" for any area of law to sell legal documents to the public. Payment integrations, file uploads, videos, and whitelabeling are also supported.

ALGLIB is a cross-platform open source numerical analysis and data processing library.

IDL is the trusted scientific programming language used across disciplines to extract meaningful visualizations from complex numerical data. With IDL you can interpret your data, expedite discoveries, and deliver powerful applications to market.