Highcharts, a Javascript-based charting library, makes it easy to add interactive charts and graphs to web or mobile projects of any size.
Highcharts is used by more than 80% of the 100 biggest companies in the world, as well as thousands of developers from a variety of industries, including finance, publishing, application development, and data science.
Highcharts is in active development since 2009. It remains a favorite among developers due to its robust feature set and ease-of-use documentation, accessibility features and vibrant community.
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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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Seaborn
Seaborn is a versatile data visualization library for Python that builds upon matplotlib. It offers a user-friendly interface for creating visually appealing and insightful statistical graphics. To gain a foundational understanding of the library's concepts, you can explore the introductory notes or relevant academic papers. For installation instructions, check out the dedicated page that guides you on how to download and set up the package. You can also explore the example gallery to discover various visualizations you can create with Seaborn, and further your knowledge by diving into the tutorials or API reference for detailed guidance. If you wish to examine the source code or report any issues, the GitHub repository is the place to go. Additionally, for general inquiries and community support, StackOverflow features a specific section for Seaborn discussions. Engaging with these resources will enhance your ability to effectively use the library.
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Altair
Insurance companies run AI to review, adjust, and deny claims. Most practices still work them by hand. Altair closes that gap: an AI-native, done-for-you medical billing service that runs your full revenue cycle, from eligibility and prior authorization to claims, denials, and appeals, backed by a US-based team of expert billers. This is a service that does the work, not software your staff operates. Your practice hires and manages no one.
Altair scrubs every claim against payer edits and medical-necessity policies before it goes out, works denials to root cause, and files appeals. It learns how each payer behaves, so first-pass acceptance and net collection rate climb the longer you use it. Coding and charge capture stay with your practice; Altair runs everything else in the cycle.
Altair also runs patient billing and collections on your behalf: it sends statements, sends payment reminders by text and email, sets up and manages payment plans, follows up on unpaid balances, and pursues aged patient accounts receivable, so the patient share is collected in full, not just invoiced.
A live financial view shows what is billed, in flight, paid, and at risk, surfaces underpayments, and forecasts the cash to come, so you always know where your money is without waiting for a monthly report.
Altair integrates with every EHR, practice management system, and clearinghouse on the market, with onboarding in hours. Independent practices, medical groups, and billing companies get the billing firepower of a large organization without hiring an army.
Payers built their AI to pay you less. Altair gets you paid in full.
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