MPCPy Alternatives

Epicor Connected Process Control (CPC), formerly eFlex Systems, provides manufacturers a flexible, no-code/low-code MES solution. No programming or special skills required. Digital work instructions, with multi-media capabilities, along with the ability to integrate virtually any device with communication capabilities, provides 100% historical record of the product and the process. Providing data insight, from production reports, to part history, quality summary and more — address issues quickly, minimize waste and disruptions. Whether you start small in subassembly areas, an entire line, or apply enterprise wide - we work with manufacturers of all sizes and needs. Hosted on prem or in the cloud, you decide what's best for your operations.

Cybernetica delivers Nonlinear Model Predictive Control (NMPC) based on mechanistic models. Our software product, Cybernetica CENIT, offers a flexible architecture that can meet any industrial challenge with optimal solutions. Multivariable optimal control, predictive control, intelligent feed forward, optimal constraint handling. Adaptive control through state and parameter estimation, and feedback from indirect measurements through the process model. Nonlinear models are valid over larger operating ranges. Improved control of nonlinear processes. Less need for step-response experiments and improved state and parameter estimates. Control of batch and semi-batch processes, control of nonlinear processes operated under varying conditions. Optimal grade transition in continuous processes. Safe control of exothermal processes and control of unmeasured variables, such as conversion rates and product quality. Reduced energy consumption and carbon footprint.

Model Predictive Control Toolbox™ provides functions, an app, Simulink® blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC. For nonlinear problems, you can implement single- and multi-stage nonlinear MPC. The toolbox provides deployable optimization solvers and also enables you to use a custom solver. You can evaluate controller performance in MATLAB® and Simulink by running closed-loop simulations. For automated driving, you can also use the provided MISRA C®- and ISO 26262-compliant blocks and examples to quickly get started with lane keep assist, path planning, path following, and adaptive cruise control applications. Design implicit, gain-scheduled, and adaptive MPC controllers that solve a quadratic programming (QP) problem. Generate an explicit MPC controller from an implicit design. Use discrete control set MPC for mixed-integer QP problems.

Closed-loop universal multivariable optimizer for Model Predictive Control (MPC) performance and Model Predictive Control (MPC) quality improvements. Use data in Excel files from DMC (Dynamic Matrix Control) from Aspen Tech, or from RMPCT (Robust Model Predictive Control Technology) from Honeywell, or Predict Pro from Emerson and use it to generate and improve correct models for the various MV-CV pairs. Amazing new optimization technology does not need step tests as required by Aspen tech, Honeywell, and others. It Works entirely in the time domain, is easy to use, compact, and practical. Model Predictive Controls (MPC) can have 10s or 100s of dynamic models. One or more could be wrong. Bad (wrong) Model Predictive Control (MPC) dynamic models produce a bias (model prediction error) between the predicted signal and the measured signal coming from the sensor. COLUMBO will help you to improve Model Predictive Control (MPC) models with either open-loop or completely closed-loop data.

Advanced Process Control (APC) is a very cost-effective way to optimize your plant performance without changing the hardware. An APC application stabilizes the operation and optimizes production and/or energy consumption. A very valuable side effect also results in a better understanding of your production process. Advanced process control (APC) refers to a broad range of techniques and technologies that interact with the base layer process control systems (built up with PID controls). Some APC technologies are e.g. LQR, LQC, H_infinity, Neural, fuzzy, and MPC (Model-Based Predictive Control). An APC application optimizes your plant every minute, over and over again, 24 hours per day, 7 days per week. MPC is the most popular APC technology used in the industry. The Model Predictive Control software uses a model of the process to predict the behavior of the plant in the foreseeable future. Typically a couple of minutes to even several hours ahead.

AVEVA APC is model predictive advanced process control that improves your process economics. In today’s economic environment, manufacturers are faced with reduced capital budgets and overhead, rising manufacturing and energy costs, and intense global competition. Comprehensive Advanced Process Control from AVEVA, helps you address complex manufacturing challenges with state-of-the-art automatic control solutions that can extract maximum value from your processes. It can improve production yield and quality and reduce energy consumption. It can help you optimize manufacturing operations and make the performance improvements you need to improve your bottom line continuously. AVEVA APC is a comprehensive model predictive advanced process control software that improves process profitability by enhancing quality, increasing throughput, and reducing energy usage. It uses modern, state-of-the-art technology to provide automatic control systems that are capable of releasing process potential.

Complex industrial processes make it challenging to be both market-driven and sustain profitable operations. Manufacturers must adjust their production methodology to introduce a greater variety of higher-value products and shorter production runs. They need to produce more, run efficiently and improve product quality to the limits of available equipment. For this, they must ensure maximum uptime and more efficient transitions with less waste. In addition, manufacturers are facing stronger public demand to reduce their environmental impact and operate within regulated emissions limits. Rockwell Automation Pavilion8® Model Predictive Control (MPC) technology is an intelligence layer on top of automation systems that continuously drives the plant to achieve multiple business objectives—cost reductions, decreased emissions, consistent quality, and production increases—in real-time.

Producers like you are adept at navigating the complexities and challenges of staying competitive. This is true in a variety of industries ranging from pharmaceuticals, consumer packaged goods, and food and beverage to mining and chemical. That’s why it’s so important to implement the latest technological advancements to continue your ever-evolving digital transformation journey. From the control room to the board room, process system users face the persistent challenges of balancing productivity against budget and resource constraints as well as proactively addressing evolving operational risks. Meet these challenges and experience real productivity gains in all areas of your plant with the PlantPAx distributed control system (DCS). System features positively impact the lifecycle of your plant operations by ensuring that plant-wide and scalable systems drive productivity, improve profitability, and reduce overall risks for operations.

Develop more accurate and sustainable APC models covering a wider operational range by combining linear and nonlinear variables with deep learning. Improve ROI with rapid controller deployment, continuous model improvement and simplified workflows to enable easier use by engineers. Revolutionize model building with AI and streamline controller tuning with step-by-step wizards to specify linear and nonlinear optimization objectives. Increase controller uptime by accessing, visualizing and analyzing real-time KPIs in the cloud. In today’s ever-evolving global economy, energy and chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 is a next-generation digital technology helping companies sustain a 2-5% improvement in throughput, a 3% increase in yield and 10% reduction in energy consumption. Learn more about next-generation advanced process control technology.

Pitops is the only software product that performs truly closed-loop system identification with PID controllers in Auto mode or even of secondary PID controllers in a Cascade mode, without the need to break the cascade chain and to conduct additional time-consuming and intrusive plant step tests. No other competitor tool can do successful transfer function identification using data with PID controllers in Cascade mode (Pitops is the only one). Furthermore, Pitops performs transfer function identification entirely in the time domain whereas all other competitor tools use the more complicated Laplace (S) or Discrete (Z) domain. Pitops can even handle multiple inputs and identify multiple transfer functions simultaneously. Pitops performs multiple inputs closed-loop transfer function system identification in the time domain using a new proprietary breakthrough algorithm, far superior to the older methods like the ARX/ARMAX/Box and Jenkins methods that are used in competitor tools.

System 800xA is not only a DCS (Distributed Control System) it’s also an Electrical Control System, a Safety system, and a collaboration enabler with the capacity to improve engineering efficiency, operator performance, and asset utilization. With the built-in electrical control system, ABB Ability System 800xA provides ways to be in control of the complete electrical system, from high-voltage switchgear to low-voltage motor control. Whether together with 800xA DCS or not, ABB Ability System 800xA is the ideal solution as your Electrical Control System. Reduce hardwired cabling on switchgear by connecting to intelligent devices, no matter which standard protocol you have. The high reliability on digital communication improves the information flow from the devices and additional electrical measurement equipment can be removed.

DeltaV S-series Electronic Marshalling with CHARMs lets you land field cabling wherever you want, regardless of signal type or control strategy. The DeltaV™ Distributed Control System (DCS) is an easy-to-use automation system that simplifies operational complexity and lowers project risk. The state-of-the-art suite of products and services increases plant performance with intelligent control that is easy to operate and maintain. The DeltaV DCS adapts to meet your needs, scaling easily without adding complexity. The inherent integration of the DeltaV system extends to batch, advanced control, change management, engineering tools, diagnostics, and more.

Apromon is an online software product for monitoring the PID loop control performance of primary and Advanced Process Control (APC) loops. Apromon evaluates single loops, cascade loops, any Advanced Process Control (APC) loops and even signals that have PV only but no controller associated with them. Apromon has the unique power to automatically convert flow controllers, pressure controllers, temperature controllers, level controllers, online analysis controllers, and any Advanced Process Control (APC) controller into a single “grade” factor, just like the grade given by a professor to a student on a test or an examination. 100 indicates the best performance and 0 indicates the worst. Runs automatically every set period so that performance is always being calculated and archived. Runs all the time, and does not skip any period for any tag like some competitor products.

Modelon’s OPTIMICA Compiler Toolkit, the most advanced Modelica-based mathematical engine on the market, offers users a powerful solution for the automation, simulation and optimization of system behaviors throughout the model-based design cycle. Trusted as the compiler for Modelon Impact, OPTIMICA enables users to build multi-domain physical systems by choosing from thousands of available model components. OPTIMICA’s state-of-the-art solvers empower evaluation of complex physical systems – supporting transient simulations as well as steady-state computations and dynamic optimization. The sophisticated mathematical engine can manipulate and simplify models to improve performance and robustness, serving industries and applications ranging from automotive and active safety to energy and power plant optimization. To meet the increased need for regulating power in today’s energy market, start-up optimization of thermal power plants is a key industrial need.

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.

DemandPlanner helps generate accurate sales and demand forecasts for your products and stores, which is enriched with customer & market dynamics. As a category planner, you gain a clear foresight to prepare optimum replenishment and inventory plans. Demand Planner provides you with accurate sales forecasts, by estimating impacts of a Wide range of external drivers that influence your product demand. The system makes use of advanced quantitative analytics tools, such as Bayesian regression, machine learning and time series modeling; to develop informed estimates over short and long time periods. Its collaborative features streamline demand planning activities with optimized replenishment and procurement along with inventory management. Assess and understand accurately customer demand patterns for your products with the help of advanced predictive analytics models. Balance the net working capital that is tied up in the inventory with immaculate data-driven strategies.

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.

DPGO is a dynamic pricing tool for airbnb hosts, vacation rental owners, and short-term rental managers. Our AI-driven software analyzes over 200 market data parameters and increases your occupancy rates by up to 90%. Manage prices and availability rates easily with data-driven insights and extensive knowledge of your target market. Develop a pricing strategy based on daily market insights. Expand our AI-recommendations with your own strategy preferences. We offer market insights specific to your target area. Take advantage of discounts, plus seasonal and weekend price adjustments. Make use of market supply and demand modelling, trend forecasting and holiday predictions. Track and improve the success of a single listing or an entire portfolio with integrated metrics. A smart algorithm that learns more every day and offers greater profitability and effective pricing strategies.

Turing optimizes, streamlines, and intelligently guides CPG product development. Eliminate manual and physical analysis. Go from idea to production in one place, and faster than ever before. Organizations spend millions endlessly collecting and aggregating data to build accurate models. Turing best-in-class algorithms require significantly less data than generic ML/AI. No more months spent on data aggregation. Turing empowers R&D and product development to combine typically disparate, incompatible data from varying systems into a single platform. Leverage Turing’s AI to discover unique insights and combinations previously buried in siloed data. Develop better prototypes faster. With Turing, you can collaborate and co-create across all stages of product development, from concept to commercialization, within a single platform. Make data-driven product, packaging, or process decisions in real-time, and skip the physical trial-and-error roundabout.

Solver is a cloud-based extended financial planning and analysis solution (xFP&A) that increases access to actionable insights beyond the finance department to accelerate better decisions. Patented QuickStart integration technology enables immediate access to a collection of ready-to-use reports and budget models for finance and management users. Users can get up and running quickly, leveraging familiar Excel-based functionality to create any report and planning model. Solver transforms organizational data into a strategic advantage for data-driven success. The all-inclusive Solver Suite consolidates information from any data source to provide a single source of truth. Connected with Solver’s budgeting and forecasting, Solver’s comprehensive planning tool enables organizations to manage budgets, create detailed reports and automate forecasts all in one place. These insights are then presented in easily shareable graphs and dashboards.

Radiance is intended to aid lighting designers and architects by predicting the light levels and appearance of a space prior to construction. The package includes programs for modeling and translating scene geometry, luminaire data and material properties, all of which are needed as input to the simulation. The lighting simulation itself uses ray tracing techniques to compute radiance values (ie. the quantity of light passing through a specific point in a specific direction), which are typically arranged to form a photographic quality image. The resulting image may be analyzed, displayed and manipulated within the package, and converted to other popular image file formats for export to other packages, facilitating the production of hard copy output. The major portion of the Radiance package, and the part that is of chief interest to users, is the lighting simulation engine that calculates light levels and renders images.

Ansys Icepak is a CFD solver for electronics thermal management. It predicts airflow, temperature, and heat transfer in IC packages, PCBs, electronic assemblies/enclosures, and power electronics. Ansys Icepak provides powerful electronic cooling solutions that utilize the industry-leading Ansys Fluent computational fluid dynamics (CFD) solver for thermal and fluid flow analyses of integrated circuits (ICs), packages, printed circuit boards (PCBs), and electronic assemblies. The Ansys Icepak CFD solver uses the Ansys Electronics Desktop (AEDT) graphical user interface (GUI). Perform conduction, convection, and radiation conjugate heat transfer analyses, with many advanced capabilities to model laminar and turbulent flows, and species analysis including radiation and convection. Ansys’ complete PCB design solution enables you to simulate PCBs, ICs, and packages and accurately evaluate an entire system.

GAMS (General Algebraic Modeling System) is a best-in-class mathematical modeling software known for its high performance, scalability, and ease of use. The official release of GAMSPy now allows users to integrate GAMS with Python, enabling flexible and powerful model creation directly within Python. GAMS simplifies the expression of optimization problems with its efficient algebraic modeling language, offering optimal solutions using top-tier mathematical solvers. GAMS MIRO provides graphical interfaces for GAMS models, facilitating local and cloud deployment with advanced visualization features. For scalable model solving, GAMS Engine offers a reliable SaaS solution, allowing models to be solved on-premises or in the cloud. Additionally, GAMS provides workshops, training, and consulting services to help users develop, improve, and deploy decision-support solutions.

Aera's Cognitive Operating System™ is the digital brain of your organization - bringing agility, scale, and accuracy to your decision-making processes. This is achieved by dynamically orchestrating the four foundational architectural pillars required for Cognitive Automation: data, science, process, and change. Aera’s patented, real-time crawling technology collects, harmonizes and augments billions of transactions from complex enterprise systems and external data sources, all while preserving context. As a result, 100% of internal and external data required for decision automation and augmentation are made available - in real-time. Aera operationalizes advanced techniques including optimization, predictions, modeling and artificial intelligence (AI) within the decision context. Domain expertise is integrated in patented models with thousands of predefined measures for all areas of the business. Bring your own, build your own, or use our pre-packaged algorithms.

With our executive management system, we create value in a truly data-driven way. Everything you need in one executive management system. Get automatic recommendations optimized by our artificial intelligence in combination with industry benchmarks. Streamline your planning according to your data. Fully integrated & intelligent executive management suite​. One system for planning, reporting & executing. Deep industry-specific content & best practices and community. Relevant semantic data model, KPIs/dashboards, deep-drills, benchmarks, recommendations, etc. The off-the-shelf solution is cheaper, easier, and faster to set up. No internal IT or BI team is needed for rapid setup and operations. Super simple and flexible user experience optimized for executives (simpler than Excel) No matter whether it is setting up a new product or new country entity. With root cause analysis and recommendations, P&L prediction and intelligent integration technology powered industry-specific data schema.

BMC AMI Cost Management provides data-driven reporting, budget forecasting, and impact modeling—easily identifying cost optimization areas by translating technical cost data into insightful business metrics. Transparent cost reporting with intuitive, interactive dashboards that track history and efficiency improvements, and analyze system and total cost data. Identification of workloads driving mainframe software costs so you can align cost optimization strategies with business demand. Predictive analytics evaluating the impact of IBM software license cost optimization activities for planning and ongoing budget management. Proactive reporting on planned vs. actual costs, variances, and forecasts of whether costs will put the budget at risk. Tailored Fit Pricing (TFP) reporting support giving you visibility into your monthly TFP cost drivers to allow you to control your TFP costs.

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

We empower people and organizations to make data-driven decisions about any location related problem. Visualize and assess locations with your specific audiences according to your parameters. Analyze attractiveness of a given location based on mobility. Does your company operate business locations such as stores, pickup points or branches? Branch Network Optimization will help you to improve ROI, increase sales and control costs. COVID has caused many problems for retailers. Take a data-driven approach to re-opening and recovery process for brick and mortar and omnichannel commerce. Leverage Location Intelligence to optimize your supply chain and reduce delays in deliveries. Location Intelligence will help you to plan, manage, and monitor the first and last-mile. CleverMaps Stories for data storytelling and building data delivery systems. Embedded Analytics for seamless integration with other tools.

Integration of applications for virtually every conceivable input and output channels via open interfaces ("API First"). High performance even with large document volumes through consistent optimization of communication processes. Extensibility through the use of NodeJS (NPM packages), documented, web-based APIs and customer-specific process modules. Customer-specific modeling of document control processes according to freely definable parameters. Your business, your rules. Our professional services team will work with you. Availability of all configured (partial) processes as a web service to be called by third-party solutions. DocBridge® Gear is a platform with which all processes of document creation, conversion, modification and output can be easily configured customer-specifically - independent of a specific (given) page format and based on raw data. Typical quality assurance processes (document check/comparison, validation, release workflows, etc.) can also be modeled.

An implementation of the WebSocket Protocol (RFC 6455 & 7692). websockets is a library for building WebSocket servers and clients in Python with a focus on correctness, simplicity, robustness, and performance. Built on top of asyncio, Python’s standard asynchronous I/O framework, it provides an elegant coroutine-based API. websockets is heavily tested for compliance with RFC 6455. Continuous integration fails under 100% branch coverage. websockets is built for production. For example, it was the only library to handle backpressure correctly before the issue became widely known in the Python community. Memory usage is optimized and configurable. A C extension accelerates expensive operations. It’s pre-compiled for Linux, macOS, and Windows and packaged in the wheel format for each system and Python version. websockets takes care of everything under the hood so you can focus on your application!

The first step to improving a process is to understand it. Bloomfilter uses process mining to analyze time-series data from your entire stack and build a model of your team's unique software development process – and then helps you optimize it. Visualize cost breakdown between build, run, and maintain. While software development is both an art and a science, data-driven teams ship more often and innovate faster. Translate sprints and points into dollars and cents. Understand where your process breaks down, and get best practices on how to improve it. Increase predictability when scoping work and estimating when new features will ship. Get objective analysis on your development process in a language everyone understands.

ProShop Management System Package is comprised of 14 modules designed to provide your print shop with various information. The Package allows for all modules in the Junior package plus inventory, scheduling, job costing, and more! ProShop Management System is comprised of four modules that allow you to schedule, control raw and finished good inventory, and track and view job statuses. You can easily follow the progress of a job through your shop and view costing variables to make sure you are making a profit on each job. ProShop Scheduling allows you to view all of you jobs in the shop from start to finish. Move and manipulate the schedule as needed using the on screen progress table or by clicking and dragging scheduled operations. Update and change estimated time with ease. You can allow estimating to schedule the job for you, or schedule each job individually. With ProShop Scheduling, you can follow all of your work flow and plan your days with the simple click of the mouse

LeanCOST is an innovative software solution that simplifies and speeds up the estimation of manufacturing times and costs from the earliest design stages. Thanks to the integration with the most popular commercial 3D CAD systems, it automatically obtains the geometrical product specifications and defines the relative manufacturing processes. Ensuring speed and control, LeanCOST optimizes the cost-estimating activities and thereby helps to make the most convenient choices. LeanCOST provides you with the ability to calculate detailed cost estimates using nearly any major 3D CAD model as a primary input. This dramatically reduces the amount of manual input required and allows a cost estimator to respond faster to customer RFQs. LeanCOST allows choosing the technologies to be implemented during the manufacturing process and selecting the cheapest strategy by simulating the manufacturing costs based on the quantity, machine availability, and technological feasibility.

Drive business value from predictive analytics. Make informed decisions and improve processes. Create predictive models in seconds for faster and better forecasting & anomaly detection. TIM InstantML is a hyper-automated, augmented machine learning solution for time series data for better, faster, and more accurate forecasting, anomaly detection, and classification. TIM helps you to discover the business value of your data and enables you to leverage the power of predictive analytics. High-quality automatic feature engineering while simultaneously adapting the model structure and model parameters. TIM offers flexible deployment options. Easy integration with some of your favorite platforms. TIM offers a wide array of interfaces. Users looking for a streamlined graphical interface can find this in TIM Studio. Become truly data-driven with powerful, automated predictive analytics. Discover the predictive value in your data faster and easier.

Integrated database-driven design for P&IDs, preliminary and detailed 3D modeling, pre-outfitting, and production data. CADMATIC Outfitting and Piping lets you easily coordinate your complex multidisciplinary engineering projects. Organize and verify the work of your designers and their 3D models wherever their location thanks to our powerful data-driven application. The intelligent system automatically selects the correct components, materials, and sizes in your machinery, outfitting, and piping design. Our optimized user interface combined with industry-leading customer service makes CADMATIC Outfitting and Piping easy to learn and implement, making your projects run smoothly and efficiently. Ensure consistency of your diagrams in multi-user and multi-site projects. Compare diagrams with the 3D model to identify variations and safeguard reliability. Seamlessly produce 3D models and documentation for approval. Complete and accurate design at all assembly and production stages.

A generative AI platform that provides actionable insights from internal and external data in real time. By automating repetitive tasks and providing intelligent suggestions, Maya saves valuable time and effort by adding specific and personalized insights. You no longer need to spend hours manually organizing, filtering, and manipulating data. Make data-driven decisions confidently with Maya. Using Maya’s advanced models to provide insights and recommendations in different perspectives, formats, images, and personalization for success. Unlock valuable insights with Maya to generate accurate predictions, plans, and recommendations from new and historical data. Value from any external and historical data. Voice-activated data retrieval is made easy with Maya. Talk or text to get the insights you are looking for. Maya AI is proficient in multiple languages and can effectively process and respond to queries in various linguistic contexts.

Discover from a variety of assets to jump-start your AI project. The AI hub provides a rich collection of artifacts that your project may need - industry AI starter kits, datasets, notebooks, pre-trained models, deployment-ready solutions & pipelines. Get access to the best resources from external parties, or created by your organization. Prepare and manage your data for model training. Collect, organize, tag, or select features, and prepare datasets for training with simple drag and drop UI. Collaborate with multiple team members to tag large datasets. Implement a quality control process to ensure dataset quality. Build models with simple clicks using the model wizards. No data science knowledge required. The system selects the best models for the problem and optimizes their training parameters. Advanced users, however, can fine-tune the models and their hyper-parameters. One-click deployment to production inference enviornments.

This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of “object interfaces” for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as an implementation of the Design By Contract methodology support in Python. Interfaces are objects that specify (document) the external behavior of objects that “provide” them. An interface specifies behavior through informal documentation in a doc string, attribute definitions, and invariants, which are conditions that must hold for objects that provide the interface. Attribute definitions specify specific attributes. They define the attribute name and provide documentation and constraints of attribute values. Attribute definitions can take a number of forms.

Tellurium is a Python package that knits together a variety of important packages for carrying out simulation studies in systems biology and other disciplines. Tellurium provides an interface to the powerful high-performance lib roadrunner simulation engine. Tellurium allows you to build your models using an easy-to-use human-readable version of SBML called Antimony. Antimony Tutorial. Tellurium supports all the major standards such as SBML, SED-ML, and COMBINE archives. Tellurium can be used via GUI front-ends such as Spyder, PyCharm, or Jupyter Notebooks (including CoLab) with support for advanced productivity and interactive editing features. Installation is via standard pip installation. We also provide a one-click installer for Windows users which provides a complete environment for systems biology modeling. Tellurium relies on open-source contributions from many people.

Equifax Ignite is a unified environment that combines the best of data and analytics with decisioning execution, providing: - Rapid access to unique, differentiated data for more predictive insights - Advanced attribute and modeling tools for automated deployment - Automated feedback to evaluate and optimize results - Flexible, modular applications that support your existing technology platforms Equifax Ignite® for Financial Services allows you to create optimized attributes and scores for more predictive analytics within your specific industry. Create powerful analyses, understand trends within financial services, and discover how well you are performing in certain areas relative to your peer groups. Explore many of our powerful data assets by using industry standard tools such as Python® and BigQuery. Then leverage even more automation power with Attribute Engine and Advanced Model Engine from Equifax.

Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be easily expressed and backtested against historical data (with daily and minute resolution), providing analytics and insights regarding a particular strategy’s performance. Catalyst also supports live-trading of crypto-assets starting with four exchanges (Binance, Bitfinex, Bittrex, and Poloniex) with more being added over time. Catalyst empowers users to share and curate data and build profitable, data-driven investment strategies. Please visit catalystcrypto.io to learn more about Catalyst. Catalyst builds on top of the well-established Zipline project. We did our best to minimize structural changes to the general API to maximize compatibility with existing trading algorithms, developer knowledge, and tutorials. Join us on the Catalyst Forum for questions around Catalyst, algorithmic trading and technical support.

Seamlessly integrate COMSOL Multiphysics® with MATLAB® to extend your modeling with scripting programming in the MATLAB environment. LiveLink™ for MATLAB® allows you to utilize the full power of MATLAB and its toolboxes in preprocessing, model manipulation, and postprocessing. Enhance your in-house MATLAB code with powerful multiphysics simulations. Base your geometry modeling on probabilistic or image data. Use multiphysics models together with Monte Carlo simulations and genetic algorithms. Export COMSOL models on state-space matrix format for incorporating into control systems. Interface in the COMSOL Desktop® environment enables the use of MATLAB® functions while modeling. Manipulate your models from the command line or script to parameterize the geometry, physics, or the solution scheme.

Establish a powerful AI blueprint to make marketing effortlessly intelligent, agile and scalable. Orchestrate data-driven actions across your marketing efforts with the world’s only hyper-contextual AI infrastructure. Discover flexible AI models trained on diverse datasets across multiple siloes that cater to the broadest use cases. Trained on 3B+ cross-industry data points, the infrastructure houses models that need no training and churns efficiency out-of-the-box. Leverage our proven algorithms or build customized rule-based strategies with our easy-to-use UI. Enhance your campaigns across platforms with the best strategies tailor-made based on dozens of parameters. Leverage self-evolving AI models that inform and interact with one another to perform at the highest level of efficiencies. Access dedicated artificial intelligence systems that constantly learn, communicate and optimize your marketing efficiency.

While every enterprise experiences data challenges, we can help you maximize the value of your marketing data. We work as an extension of your marketing team and extended partners to make MarTech work better by integrating people, processes and platforms. When all three of those are in place, you can experience true data-driven decision power. Built from the ground up, the MSIGHTS platform is a suite of applications and integrated services that ensure your data is enterprise and analytics-ready. Take control and enjoy greater transparency while maximizing the value of your marketing data. Our solution packages can be leveraged individually to address specific challenges or combined to realize the full power of MSIGHTS across the marketing and data operations value chain. From implementation through ongoing services, each solution comes with our data expertise and collaborative customer support team.

Our Marketing Analytics and optimization software provides a modern, integrated environment for advanced marketing investment analytics. In the data visualization module, users, including those without advanced analytic skills, can examine and understand the sets of visuals and statistics needed to both verify the data and form initial insights and hypotheses on what's driving demand. The core Modeling module provides a comprehensive user interface (UI) for specifying a range of dynamic linear panel models at all levels of the client business. User-specified model structures are integrated with the model database to perform any required variable transformation which is then transferred to the proprietary model estimation algorithm housed within the OxMetrics analytics package.

Develop defensible, fact-based cost estimates. Unison Cost Engineering provides the framework, models, and data required for accurate, on-time estimates. Streamline the process from data to basis-of-estimate using an integrated suite of applications. Minimize uncertainty by dynamically linking your technical solution to cost, schedule, and uncertainty estimates. Automatically generate hundreds of critical development, production, and O&S decision support metrics such as T1 cost, unit production cost, and cost/flight hour. Build complex estimates in weeks, not months, and make changes in requirements in minutes, not days, with a highly optimized mathematical modeling application designed for performance. Create linkage between relevant historical data and predictive models to improve estimation accuracy. Report and retain data and history from each estimate, including SME notes, cost estimating relationships, historical data points, sensitivity, and hours by activity and more.

ROIVENUE™ is a marketing intelligence suite built to maximize ROI through data-driven attribution and integration. All your advertising, CRM, and web analytics data in one place. Harness the power of multi-touch attribution to get the most out of your ad spend. The customer journey does not consist of just a single touchpoint. Data-driven attribution enables you to understand the true contribution of each channel. It gives you the datapoints to allocate budgets for maximum performance. Our AI-based predictive model tells you how to reallocate your budget among channels for maximum performance. Depending on your marketing goals, you can optimize advertising channels for profit or revenue,

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The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.

Public perceptions of the level of risk caused by trees are often exaggerated. Concerns about health or property sometimes lead to the felling of trees that simply grow a little bit on their own. Such fellings leads not only to removals of biologically valuable micro-habitats but also incurs unnecessary costs. Thanks to Adbian software, you can make data-driven decisions reducing financially and environmentally unsound preventive felling practices. To assess the stability of a particular tree, we use an analysis that combines the knowledge of applied tree biomechanics with the clarity of 3D environment. The analysis takes place on several levels. The output of the calculation is, in addition to the 3D model, an expression of the overall stability of the tree in the form of a safety coefficient. The safety coefficient indicates whether a tree with specific parameters can safely exist in a given location, even under the onslaught of statistically expected gale force.