Alternatives to metaphactory

Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.

SYNTHIA™ Retrosynthesis software, developed by computer scientists and coded by chemists, allows scientists to quickly and easily navigate novel and innovative pathways for novel and previously published target molecules. You can quickly and efficiently scan hundreds pathways to identify the best options for your needs. Discover the most cost-effective route to your target molecule with the latest visualization and filtering features. You can easily customize the search parameters to eliminate or highlight reactions, reagents, or classes of molecules. Explore innovative and unique syntheses to build your desired molecule. Easy to generate a list for starting materials that are commercially available for your synthesis. ISO/IEC 27001 Information Security Certification will guarantee the confidentiality, integrity and protection of your data.

The process of bringing a new drug to market, from the initial step to the final market introduction can be time-consuming, expensive, and highly regulated. It can take up to a decade. Final success depends on early access to accurate analytical results that are fast enough to make the right decisions during development and minimize late attrition. Today's drug development relies heavily on a rational approach. Typically, identifying the biological target is the first step. To identify the most promising candidates, it is necessary to have a deep understanding about their properties. Finding the most promising lead molecules can be a daunting task once a biological target is established. Lead discovery is typically the identification of potential drug candidates, either small organic molecules or biologic assembly with therapeutic potential.

Polly allows you to harness the power of biomedical information. The Polly Platform allows you to scale batch jobs, workflows and visualization applications. Polly supports resource pooling, optimizes resource allocation based upon your usage requirements, and makes use of spot instances when possible. This results in optimization, efficiency, quicker response time, and lower costs for resources. Access a dashboard that allows you to monitor and track resource usage and costs in real-time. This will allow you to reduce overheads when resource management is done by your IT team. Polly's infrastructure is built around version control. Polly uses a combination dockers and interactive notebooks to ensure version control for your analyses and workflows. We have created a mechanism that allows data, code, and the environment to co-exist. This, along with cloud data storage and the ability for users to share projects, ensures reproducibility in every analysis.

Use AI to accelerate the journey from bench-research and laboratory insights to life-changing therapies. Reduce your reading time to minutes and gain up to 90% more research productivity. With a high-precision and high-accuracy research, you can cut through the noise to navigate the ever-growing amount of scientific literature. Save time, reduce bias, and increase the odds of discovering novel things. Explore disease biology in depth and discover advanced targets. Causaly’s high-precision graph of knowledge consolidates evidence from millions publications, allowing for unbiased, deep scientific exploration. You can navigate cause-and effect relationships in biology without being an expert. Discover hidden connections by viewing all scientific documents. Causaly’s powerful AI machine is able to read millions of published biomedical publications in order to support better research and decision-making.

Advanced molecular modeling can transform drug discovery and materials research. Our physics-based computational platform combines differentiated solutions for predictive modelling, data analytics, collaboration, and collaboration to allow rapid exploration of chemical space. Our platform is used by industry leaders around the world for drug discovery and materials science in fields such as aerospace, energy, semiconductors and electronics displays. The platform powers our drug discovery efforts, from target identification through hit discovery to lead optimization. It also powers our research collaborations to create novel medicines for critical public healthcare needs. Our team includes more than 150 Ph.D. scientists. This allows us to invest heavily in R&D.

ChemDraw®, solutions have been able to provide powerful capabilities and integrations that allow you to quickly transform ideas and drawings into publications you are proud of. ChemOffice+ Cloud is a chemistry communication suite that transforms chemical drawings into chemical knowledge. It facilitates the management, reporting, and presentation of your Chemistry research. ChemOffice+ Cloud is a robust and comprehensive suite that was designed to simplify, facilitate, accelerate, and accelerate chemistry communication. The cloud-native ChemDraw Professional chemistry communication suite adds a powerful set to scientific research by adding a powerful set to the foundations. ChemOffice+ Cloud makes it much easier to create reports to communicate chemical research. Chemists can use ChemOffice+ cloud to create PowerPoint slides and manuscripts that are ready for presentation.

AllegroGraph is a revolutionary solution that allows infinite data integration. It uses a patented approach that unifies all data and siloed information into an Entity Event Knowledge Graph solution that supports massive big data analytics. AllegroGraph uses unique federated sharding capabilities to drive 360-degree insights, and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph offers users an integrated version Gruff, a browser-based graph visualization tool that allows you to explore and discover connections within enterprise Knowledge Graphs. Franz's Knowledge Graph Solution offers both technology and services to help build industrial strength Entity Event Knowledge Graphs. It is based on the best-of-class products, tools, knowledge, skills, and experience.

Genedata Imagence®, allows you to train a deep neural net to classify cellular characteristics in HCS images. This will give you objective, high-quality results. It automates your analysis to allow assay biologists to harness the power of deep learning algorithms. Genedata Imagence allows biologists to immediately and directly analyze HCS imaging data with sophisticated deep learning techniques using no specialized algorithmic knowledge. Don't hide your analysis behind abstract lines of code. Genedata Imagence's intuitive interface makes it easy to QC and explore data at every stage.

3decision®, a cloud-based repository of protein structures, is designed to manage structural data and perform advanced analytics. This allows small molecule and biologicals discovery teams the ability to accelerate structure-based drugs design. It centralizes, standardizes, and integrates experimental and in silico protein structures derived from public sources such as RCSB PDB, AlphaFoldDB as well as proprietary information, including formats like PDBx/mmCIF, and ModelCIF. This allows for easy access to X-Rays, NMRs, cryo-EMs, and modeled protein structures. It also fosters collaboration and enhances research efforts. 3decision®, beyond storage, enriches entries by adding metadata and sequence data, including annotations of antibodies, binding site details, and protein-ligand interaction. Advanced analytical tools can identify druggable site, assess off-target risk, and enable binding sites comparisons. They transform vast structural data into actionable information. Cloud-based platform allows for collaboration between research teams.

BioVinci automatically selects the most effective method to visualize high-dimensional data. Machine learning algorithms allow you to explore high-dimensional data. Convert large datasets into speech graphics without programming. You can visualize research results with a variety of graph types and customization options. The software allows scientists without programming experience to quickly apply state of the art machine learning techniques to their data and visually visualize the results to gain insights otherwise difficult to find. BioVinci 2.0 is designed to be easy for even first-time users. We offer a variety of plot configurations to meet different user needs. However, we aim to bring simplicity, information-revealing, interactive, publication-ready, aesthetics, and transparency to every plot.

These intricate, complex machines are proteins. They are the building blocks of all biological processes, not only in your body, but in every living being. They are the building blocks of all life. There are currently around 100 million distinct proteins. Many more are discovered every year. Each protein has a unique 3D shape, which determines how it functions and what it does. It is expensive and time-consuming to determine the exact structure of each protein. This means that we only have a small number of proteins in our database. This gap is rapidly growing and we need to be able to predict the structure of millions unknown proteins. This could help us not only tackle disease but also help us find new medicines more quickly. It may also help us unlock the mysteries of life.

IT can quickly and easily set up data sources right from the interface. The business user then takes control. All data sources can be viewed in one dashboard. The data is updated in real-time. You can make informed business decisions based upon the most recent intelligence, in an easily digestible and widely accessible format. You need accurate, timely, and clear data to make informed business decisions. It is often difficult and inefficient to request reports from your IT department and then combine them manually to draw conclusions. Insite Analytics makes it easy for IT to create queries from any data source in minutes. Data from queries can easily be visualized on the dashboard of the business user in the most appropriate way to represent the data.

StatPlanet Cloud is the next generation of our award-winning StatPlanet visualization/mapping software. It gives you unprecedented insight into your data. StatPlanet Cloud is cross-platform (HTML5/JavaScript-based). It can be accessed via a web browser from any device, including a tablet, a Mac, a mobile phone, or a PC. StatPlanet Cloud can quickly transform a spreadsheet into an interactive dashboard. The intuitive interface allows even novice users to instantly explore interactive graphs and maps and filter down to specific indicators and areas of interest. It also comes with an Excel-based, open-source Data Manager. This can be used to import and consolidate a wide variety of data in over 60 countries. It is simple to create your first dashboard. If your data is in spreadsheet format it can be automatically imported into StatPlanet and visualized. StatPlanet supports SDMX, an international standard for data interchange.

Eidogen-Sertanty’s Target Informatics platform (TIP), is the first global structural informatics system. It enables researchers to examine the druggable genome from an structural perspective. TIP increases the rapidly expanding body experimental protein structure information and transforms structure based drug discovery from an inefficient, data-scarce discipline to a high-throughput science with rich data. TIP is a tool that bridges the knowledge gap between bioinformatics (bioinformatics) and cheminformatics. It provides drug discovery researchers with a knowledge bank of information that is both unique and highly complementary to existing bio- and cheminformatics platform information. TIP's seamless integration between structural data management technology and unique target-to-lead analysis capabilities enhances every stage of the discovery pipeline.

Graphlytic is a web-based BI platform that allows knowledge graph visualization and analysis. Interactively explore the graph and look for patterns using the Cypher query language or query templates for non-technical users. Users can also use filters to find answers to any graph question. The graph visualization provides deep insights into industries such as scientific research and anti-fraud investigation. Even users with little knowledge of graph theory can quickly explore the data. Cytoscape.js allows graph rendering. It can render tens to thousands of nodes and hundreds upon thousands of relationships. The application is available in three formats: Desktop, Cloud, or Server. Graphlytic Desktop is a Neo4j Desktop app that can be installed in just a few mouse clicks. Cloud instances are great for small teams who don't want or need to worry about installing and need to be up and running quickly.

We are a biotechnology company in clinical stage. We decode biology by integrating technological innovations across biology and chemistry to industrialize drug discovery. CRISPR genome editing and synthetic Biology allow for greater control over biology. Advanced robotics allows for reliable automation of complex laboratory research on an unprecedented scale. Neural network architectures allow for iterative analysis and inference from large, complex, in-house data sets. Cloud solutions increase the flexibility of high-performance computation. To build a next-generation biopharmaceutical business, we are using new technology to create virtuous learning cycles around datasets. A synchronized combination hardware, software, and data that is used to industrialize drug discovery. Redefining the traditional drug discovery process. One of the most extensive, broadest, and deepest pipelines in any technology-enabled drug company.

FCS Express™ gets you from raw data to easily-understandable, beautifully formatted, presentation-ready results more easily and in less time than any other flow cytometry software. You've probably had to copy and paste data tables into another software to make your data more understandable and visually appealing. You've probably had to manage your data in multiple software packages, such as Microsoft Excel™, GraphPad Prism™, or Microsoft Excel™. It was difficult to find everything you needed in one program. Learning flow cytometry software shouldn't be a barrier to getting the best results from your data. FCS Express is designed to look and feel like familiar Microsoft Office™, so you can already be an expert before you even start.

The biopharmaceutical market is complex today. There are growing demands for better specificity and safety, new treatment classes, and more complex mechanisms of disease. To keep up with this complexity, we need to have a better understanding of therapeutic behavior. Simulation and modeling provide unique opportunities to explore biological and physical processes down to the atomic levels. This can be used to guide physical experimentation and accelerate the discovery and development process. BIOVIA Discovery Studio brings together more than 30 years of peer reviewed research and world-class in-silico techniques like molecular mechanics and free energy calculations. It also allows for biotherapeutics developmentability and other related topics into one environment. It gives researchers a complete toolkit to explore the nuances in protein chemistry and to catalyze the discovery of small and big molecule therapeutics, from Target ID to Lead Optimizement.

LigPlot+, a successor to the original LIGPLOT program, allows for automatic generation of 2D interaction diagrams between ligands and proteins. It runs from a simple java interface that allows for easy editing of plots by using mouse click-and drag operations. The program has many major improvements over the previous version, in addition to the new interface. LigPlot+ automatically displays interaction diagrams when two or more ligand protein complexes are sufficiently close. Any conserved interactions will be highlighted. LigPlot+ now includes the updated DIMPLOT program to plot protein-protein and domain-domain interactions. DIMPLOT will generate a diagram showing residue-residue interactions across an interface. Users can select the interface they are interested in. Optionally, residues from one interface can be displayed in sequence to aid in interpretation.

Clara's domain specific tools, AI pretrained models, accelerated applications, and accelerated AI applications are enabling AI advances in many fields, including medical device, imaging, drug discovery and genomics. Holoscan allows you to explore the entire pipeline of medical device deployment and development. With the NVIDIA IGX Developer Kits, you can build containerized AI apps using the Holoscan SDK. The NVIDIA IGX SDK includes pre-trained AI model, healthcare-specific acceleration libraries and reference applications for medical devices.

To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.

AutoDock is a set of automated docking tools. It predicts how small molecules, such sub- or drug candidates, will bind to a receptor with a known 3D structure. It has been improved over the years to add new functionalities and multiple engines were developed. AutoDock 4 is the current version, and AutoDock Vina is the latest. AutoDock-GPU is an accelerated version that runs hundreds of times faster than the original single CPU docking code. AutoDock 4 is actually composed of two main programs. Autodock docks the ligand to a list of grids that describe the target protein. Autogrid pre-calculates the grids. The atomic affinity grids can also be visualized. This can be used to help organic synthetic chemists create better binders.

Our AI engine transforms drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio is co-owned and owned by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. People are the key to redefining drug discovery using AI. We are committed to creating the best AI platform possible and using it to transform small-molecule drug discovery. To help drug developers achieve their goals, we have to tackle the most difficult and seemingly impossible targets. We also need to streamline the drug discovery process in order to make it more efficient. The ability to screen trillions of compounds in silica increases the chance of success. Demonstrates exceptional model accuracy, surpassing the challenge of false negatives.

StarDrop™, a comprehensive suite of integrated software, delivers the best in silico technology within a highly visual interface. StarDrop™, which allows seamless flow between the latest data, predictive modeling, and decision-making regarding the next round or synthesis, improves the speed, efficiency and productivity of the discovery process. A balance of different properties is essential for successful compounds. StarDrop™, which guides you through the multi-parameter optimization challenge, helps you target compounds with the highest chance of success. It also saves you time and resources by allowing you to synthesize fewer compounds and test them less often.

Aurora uses quantum mechanics, thermodynamics and an advanced continuous-water model for solvation effects in order to calculate ligand binding affinities. This approach is significantly different from the binding affinity predictions that are often based on scoring functions. Aurora algorithms are able to produce more precise and reliable binding free energies values by including the entropy as well as the aqueous electrostatic contribution directly into the calculations. The binding free energy is the measure of interaction between a ligand and a protein. The free energy (F), which is a thermodynamic quantity directly related to the experimentally measurable value for inhibition constant (IC50), and depends on the statistical properties of interacting molecules as well as electrostatic, quantum, and aqueous solver forces, is a thermodynamic quantity. Two major contributors to F's non-additivity are 1) the electrostatic and the solvation energy, and 2) the entropy.

NoviSight 3D Cell Analysis Software advances your discovery by providing statistical information for spheroids, and other 3D objects in microplate based experiments. It allows you to quantify cell activity in three dimensions, capture rare events more easily, increase detection sensitivity, and obtain accurate cell counts. NoviSight software has a simple user interface that allows you to perform analysis, recognition, and statistical analyses. NoviSight software's True 3D technology allows you to easily check the morphology and size of your samples. To speed up your research, measure a variety of cell nuclei parameters such as volume and sphericity. You can also analyze 3D cell models that are physiologically relevant to your work. The software can be used to analyze objects of interest and provide spatiotemporal and morphological information in 3D space. You can detect objects from whole structures to subcellular details and analyze changes in spheroids.

BIOiSIMTM, a revolutionary 'virtual drug engine', is the first-in-class tool that allows drug developers to narrow down the number drugs that have potential value in treating or curing specific diseases or illnesses. We offer a variety of translational-based solutions that can be customized for your clinical and pre-clinical programs. All of these solutions are based on our BIOiSIMTM platform, which is a proven and validated platform for small molecules, large molecule, and viruses. Our models are built using data from thousands upon thousands of compounds across seven species, which gives them a robustness that is rare in the industry. The platform is focused on human outcomes and has at its core a translatability tool that transforms insights across species. The BIOiSIMTM platform is available before preclinical animal trials begin, which allows for earlier insights and saves on expensive outsourced experimentation.

VeraChem LLC was established in 2000 to advance computer-aided drug discovery. These methods are implemented in high-performance software and provide comprehensive support to users. This is a key strategy of VeraChem LLC for product development. Current VeraChem software capabilities include host-guest and protein-ligand binding affinity prediction, fast calculation and computation of partial atomic charges for druglike compounds, computation and force of energies and forces using all the most commonly used empirical force field, automatic generation and generation of alternate resonance forms for drug-like substances, conformational search using the powerful Tork algorithm and automatic detection and removal of topological and 3D-molecular symmetries. VeraChem's software packages were built from a modular code base.

Kanteron Platform ingested digital pathology slides, medical images, and patient data from modalities and sequencers. It then provided a complete data toolkit for all hospital network teams. Precision Medicine at the point-of-care: Pharmacogenomics is used to prevent adverse medication events. It also incorporates data sources that have drug-gene interactions that were not previously available in easily accessible formats (e.g. Tables in a PDF document) and implementing the major Pharmacogenomic Databases (like PharmGKB or DGIdb, OpenTargets ...). This allows the user to refine their query to specific gene families, types, interactions, etc. Flexible AI allows you to choose the data set that is most appropriate for your use case and then apply it to your relevant medical images.

Peakboard GmbH offers a low-code platform designed to empower production and logistics companies in overseeing internal processes and engaging with their systems seamlessly. Through this platform, data from various sources such as SAP, machine controls, material flow controls, and Excel can be collected and analyzed in real-time, presenting insights on screens instantaneously. This facilitates easy error detection and enhances productivity. Customers retain control over the displayed key performance indicators on the dashboard, tailoring the interface to their specific needs. With compatibility across over 90 IT interfaces, information can be effortlessly communicated through touchscreens, creating an intuitive interface accessible to production and warehouse staff. Consequently, operating production machinery becomes as straightforward as using a smartphone.

Makya is a user-friendly SaaS-based platform for AI-driven drug design focusing on Multi-Parametric Optimization. It allows the design of novel compounds that are easy to make in accordance with a multiobjective blueprint at unprecedented speeds, performance and diversity. Makya has multiple generative algorithms that cover different use cases, from hit discovery to lead optimizing: fine-tuning to find optimal solutions in your chemical space according to your project blueprint; novelty to find new ideas of high novelty for rescaffolding/hit discoveries; forward to design a focused collection of compounds easily accessible using commercial starting materials. The new Makya 3D Module enhances the user-experience and scientific utility of Makya. Makya 3D offers a wide range of 3D modeling capabilities in both ligand and structure-based pipelines. You can now use these 3D scores to guide generation natively within Makya.

Kibana is a free, open-source user interface that allows you to visualize your Elasticsearch data as well as navigate the Elastic Stack. You can track query load and understand how requests flow through your apps. Kibana allows you to choose how you want to present your data. Start with one question to see what interactive visualizations lead you. Kibana core ships the classics: histograms and line graphs, pie charts and pie charts, as well as sunbursts and sunbursts. You can also search across all your documents. Use Elastic Maps to explore your location data. Or get creative and visualize custom layers or vector shapes. Our curated time series interfaces allow you to perform advanced analysis of your Elasticsearch data. Use powerful, easy to learn expressions to describe queries, transformations, or visualizations.

Analogyx BI (ABI), a real-time streaming platform for data, has a built-in database warehouse and 50+ visualization types. It also offers out-of-the box integrations and many other features. ABI combines industry knowledge and a deep understanding of data systems to enable real-time analytics for your business. Analogyx BI provides a single-stack data integration and analytics platform that provides real-time data, actionable insights and collaborative analyses to each employee. Create custom user experiences, build custom integrations and customize analytics. AI-powered insights and analytics can empower your business. Build robust data pipelines that will enable your business to operate with agility, speed, enterprise-grade security, and high levels of security.

Unmatched speed to market for embeddable charts, dashboards, and graphs GoodData's self service analytics user interface allows business users to create their own dashboards and visualizations in order to get the insights they want. Scaling your business doesn't require you to pay per user. Additionally, your organization's data volume will increase, which will allow you to improve your analytics without affecting your performance. GoodData provides the foundation for flexible data connections and transformation. Advanced data modeling and semantics guarantee integrity and accuracy for each metric. Our platform is secure at all levels, from multi-tenant architectures to regulatory compliance. Avoid common misunderstandings when building a SaaS product that includes embedded analytics. Learn about how analytics integration works in applications and the essential features.

Your structured data can be used to create engaging and connective microsites. Share insights with both internal and external audiences. Simple, intuitive interfaces are available for browsing structured data. You can share analysis by embedding visualizations in reports and articles. Using shared annotations, teams can publish, update, collaborate, and collaborate on data visualisations. By creating data visualization interfaces and browsable galleries, you can understand the depth and breadth of a collection. Engage more with your employees and customers by contextualizing collections using user insights and timely articles. Fluid, interactive data visualizations bring data to life. Engage your audience with eye-catching visualizations online. You can embed visualizations on your website and encourage dialogue with user annotations. Gist is open source under the GNU General Public License.

Revintel offers 55 out-of-the-box reports and Revintel’s BI solution, Compose, to create your own custom brand-matched interactive visualizations in a variety of formats using drag and drop functionality. These allow you to spend more time on strategy and analysis than on acquiring data. You can understand the booking pace and identify issues that are affecting performance while you still have time. Find trends and opportunities in property, market, brand, or portfolio-wide areas. Make faster, better-informed, revenue decisions. You can save time and maximize your profitability by having a uniform portfolio view at your fingertips. You can quickly drill down into details by creating personalized dashboards that give you a comprehensive overview of the most important aspects of your business. To guide your marketing efforts, compare YOY economic conditions and market conditions. Deeper more actionable insights enable faster, more informed revenue decisions.

A simple-to-use interactive tool that allows data exploration, analysis, visualization and machine learning. Cloud Datalab is an interactive tool that allows you to analyze, transform, visualize, and create machine learning models on Google Cloud Platform. It runs on Compute Engine. It connects to multiple cloud services quickly so you can concentrate on data science tasks. Cloud Datalab is built using Jupyter (formerly IPython), a platform that boasts a rich ecosystem of modules and a solid knowledge base. Cloud Datalab allows you to analyze your data on BigQuery and AI Platform, Compute Engine and Cloud Storage using Python and SQL. JavaScript is also available (for BigQuery user defined functions). Cloud Datalab can handle megabytes and terabytes of data. Cloud Datalab allows you to query terabytes and run local analysis on samples of data, as well as run training jobs on terabytes in AI Platform.

Open source machine learning and data visualization. With a wide range of tools, you can create data analysis workflows visually. Simple data analysis can be done with data visualization. Explore statistical distributions, box and scatter plots. Or dive deeper with decision trees and hierarchical clustering, heatmaps and MDS. Smart attribute ranking and selections can make multidimensional data more sensible in 2D. Interactive data exploration allows for qualitative analysis in a quick and efficient manner. The graphic user interface allows you focus on exploratory data analysis and not coding. Smart defaults make prototyping a data analysis workflow very easy. Connect widgets to the canvas, place them on the screen, and then load your data. We like to show data mining rather than just explain it. Orange excels at this.

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.

This platform is the best for anyone to visualize and explore data from all sources. We are the fastest and most expressive web application builder for database backends. Type SQL, get reports applications and put these applications into the elastic dashboard. DbFace is the fastest way to build a SQL database frontend. You don't need to code PHP or any front-end HTML CSS. Follow the robust application builder method to create full features database apps. DbFace's intuitive Drag & Drop interface allows you to create meaningful tables and charts with all the flexibility you need. You can create static charts and reports. You can also create applications that take user input. DbFace can do everything SQL can. Tabular report, Summary Report, Pivot tables and Summary Report.

Basedash is a data visualization, editing, and exploration interface that is AI-generated. Basedash allows teams to collaborate and share insights, so you can help customers and grow without having to build anything. Edit data, create records and monitor how your product runs without having to build or manage customized software. Basedash is a custom CRM that allows you to track, understand, and interact with users of your products. A simple UI that allows you to edit, update, read and delete data. Never waste time again building an internal tool. Create charts quickly and easily, and give your team a place to collaborate on shared metrics and goals. Create gallery views to view the images in your database. No need to code or write JavaScript. Basedash was designed to showcase your media and make images more accessible. Anyone on your team can view and edit your database using the familiarity of spreadsheets.

Create graph visualization products that transform connected data into insight. JavaScript's flexibility and power allows you to quickly and easily create graph visualization applications that can go anywhere. KeyLines allows you to create graph visualization applications in a flexible way. Create interactive graph visualization tools that reveal hidden insights and threats. KeyLines JavaScript graph visual toolkit allows you to create applications that are tailored for your users, your data and the questions you need. It works with any browser, device or server and includes clear tutorials, demos and API documentation. With our developer support, you will quickly discover network insight. KeyLines makes it easy for you to create high-performance JavaScript graph visualization tools which work anywhere. They use HTML5 and WebGL graphics rendering, and carefully crafted code to provide users with quick and insightful visualization.

React graph visualization products can transform connected data into insight. ReGraph's data-driven API makes it easy to add graph visualizations into your React applications. Your users can get high-performance graph visualizations that are custom made, no matter where they are. ReGraph is a simple and easy coding experience for React developers. It features familiar logic, simple state handling, and well-documented Props. You can control where your data is stored and how the component behaves. It can be used in any browser on any device and integrates easily with any server or database. It allows you to create a custom React graph visualization app. ReGraph makes it easy for you to create powerful React graph visualization apps. Everything has been optimized for performance, right from the layout algorithms to the supercharged graphics rendering engine.

Vizzboard is 100% web-based, data visualization software that allows users to create their own reports and analysis tools. Vizzboard connects to your browser via a browser. Once you have imported your data, Vizzboard transforms it to create custom data models for your business. The interface is intuitive and easy to use. We help you choose the best graph, and you can create dashboards by simply drag & dropping. You can also customize visualizations and make presentations beautiful.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

AnswerMiner is a data exploration and visualisation tool for new data. It focuses on simplicity and usability, rather than hard programming or requiring additional knowledge to use. The app's user-friendly interface makes it easy to get used to the features and helps you become familiar with it quickly. AnswerMiner is a cloud-based tool that can be accessed from anywhere, at any time, to find relationships and meaningful insights in data. It is accessible even if users are not programmers or data scientists. We believe that anyone can become a data analyst. All they need is the right tool to make the most of their data. Features *Smart Data View *Automatic Charts *Correlation Matrix & Table *Relation Map *Prediction Tree *Report (Canvas) *Connectors: Mailchimp Analytics, URL, MySQL and Google Drive, FTP and many more

Access, explore, and prepare data while discovering new patterns and trends. SAS Visual Data Science allows you to create and share interactive visualizations and reports using a single interface. It uses machine learning, text analysis, and econometrics to improve forecasting and optimization. Additionally, it registers SAS and open source models within projects and as standalone models. Visualize your data and find relevant relationships. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes for better, data-driven decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions.

SAS technologies combine to provide powerful tools for visual information. You can access, manipulate, analyze, and present information in visual formats. SAS Visual Machine Learning allows you to expand your analytics by using machine learning and deep learning capabilities. This makes it easier to visualize and report better. Visualize and discover relationships in your data. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes to make data-driven, smarter decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions. A comprehensive visual interface allows you to solve complex analytical problems. It handles all aspects of the analytics lifecycle.

Traditional data analytics solutions are often static and tabular and fail to capture complex data relationships. Gemini Data connects disparate data sources to create stories. Gemini Explore transforms data analytics through contextual storytelling that allows anyone to intuitively and easily interact with data. It's about simplifying complex information and making it easy to understand and communicate. This allows people to learn faster and do their jobs more efficiently. Gemini Stream allows organizations seamlessly to collect, transform, parse and route machine data to and from the most popular Big Data platforms using a single interface. Gemini Central is a state-of the-art, turn-key solution for your analytics needs. It integrates and is pre-configured using a lightweight OS as well as other management tools and apps.