In just a few days, you can integrate and customize a lightning-fast financial table with your product. You can make changes or create a completely new interface. You want more? We offer a full access alternative. Data feeds with futures and indices, equities, FX and cryptocurrencies by default. Sign up now to get your data feeds. DXcharts can be integrated with any market data source, as it is data feed-agnostic. Native libraries for all platforms. Native web, native mobile & desktop. Get a solution that is specifically tailored to your product. Analyzing statistics from trading activity can help you evaluate securities and predict their future movements. You can create custom studies with the intuitive dxScript. You can adjust the layout of charts however you like and sync them by instrument, chart type and timeframe, range, studies & appearance.
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Anaconda is an AI-native development platform that gives teams a governed path from early experimentation to production AI deployment. The platform is built around trusted open-source packages, secure Python package management, controlled environments, and production-grade orchestration. Anaconda helps organizations avoid broken environments, dependency conflicts, security gaps, and deployment delays that can slow AI initiatives. Anaconda Core provides validated packages, automated security scanning, and intelligent dependency conflict resolution for Python and data science teams. Its platform capabilities support AI orchestration, trusted distribution, and enterprise workflows for building and scaling models. Anaconda is widely used across the AI, data science, Python, and enterprise developer communities. The company positions open source as a foundation for AI innovation and emphasizes Python as a core language for the next era of AI development. Anaconda also provides learning courses, certifications, reports, guides, professional services, documentation, and support resources. By combining package governance, environment management, open-source security, and AI development workflows, Anaconda helps teams build trusted AI systems on their own terms.
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Surpass
Surpass is a comprehensive and cohesive suite of applications designed to effortlessly streamline the everyday operations of various types of libraries. It caters to a wide range of institutions, including primary and secondary school districts, colleges, public libraries, corporate facilities, and specialized libraries. The suite consists of four main applications: Surpass Select, Surpass SL, Centriva, and Surpass CL. Moreover, Surpass offers a unique package specifically tailored for church libraries, and its hosting service enables libraries to fully transition their systems online without the need for IT personnel or in-house servers. This flexibility and ease of use make Surpass an invaluable resource for managing library functions efficiently.
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Google Opal
Opal is an experimental platform from Google Labs that empowers users to create AI mini-apps through simple natural language prompts. Instead of writing code, builders describe what they want, and the system generates a functional application. The platform supports both blank-slate creation and ready-made templates from a curated gallery. Its rapid prototyping capabilities allow ideas to transform into working tools in a fraction of the usual development time. A visual node-based editor provides intuitive control over workflows and logic adjustments. Users can refine app behavior, test outputs, and iterate seamlessly within the interface. Opal encourages experimentation and creativity by removing technical complexity. Community engagement through Discord offers support, feedback, and shared learning. The combination of no-code simplicity and visual editing makes it accessible to both beginners and experienced creators. Overall, Opal streamlines the process of building and sharing lightweight AI applications.
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