Top 10 Alternatives to DHTMLX UI Recently Reviewed By G2 Community
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Syncfusion® Essential Studio is a suite of components and frameworks for developing web, mobile, and desktop applications.
The Most Complete UI Framework to Speed Up Your HTML/JS Development
Work together, everywhere! Gmelius offers a unique collaboration platform that integrates with the tools already used by your company. No need to migrate your data to a different solution or train your teams on how to use another application.
Employee Monitoring Software to enhance your employee productivity. Maximise your profits and increase employee efficiency. Now powered with fast efficient project and task management tools to empower your teams for better collaboration.
DevExpress engineers feature-complete Presentation Controls, IDE Productivity Tools, Business Application Frameworks, and Reporting / Dashboard Systems for Visual Studio, Delphi, HTML5 or iOS & Android development. Our product line includes UI components and libraries for desktop and mobile development (WinForms / WPF / WinUI / MAUI / Xamarin / VCL), the web (ASP.NET Core / Blazor / Web Forms / MVC / JavaScript: Angular, React, Vue, jQuery), Office File API, .NET Application Frameworks, ORM Tools, and End-to-End Web Testing.
Progress Telerik provides controls and reporting for .NET Web (Blazor, ASP.NET Core, ASP.NET MVC, ASP.NET AJAX), JavaScript Web (Angular, React, Vue, jQuery), .NET Desktop (WPF, WinForms, WinUI, UWP), .NET Mobile (Xamarin, MAUI), Embedded Reporting, Automated Testing and Mocking tools.
Zoho Sprints is a free online tool for agile planning and tracking. It allows you to create user stories, add estimation points, schedule agile meetings, and use timesheets to track work hours.
Free and open source, Ionic offers a library of mobile-optimized HTML, CSS and JS components, gestures, and tools for building highly interactive apps. Built with Sass and optimized for AngularJS.
Reclaim is a smart calendar tool for Google Calendar that helps you automatically block time for your tasks and routines across all of your work and personal calendars. Designed for anyone with a busy schedule, Reclaim helps align your priorities with your calendar, understand where your time is going every week, and find the best time for your important solo work sessions through smart time blocking.
Pandas is a powerful and flexible open-source Python library designed for data analysis and manipulation. It provides fast, efficient, and intuitive data structures, such as DataFrame and Series, which simplify handling structured (tabular, multidimensional, potentially heterogeneous) and time series data. Pandas aims to be the fundamental high-level building block for practical, real-world data analysis in Python, offering a wide range of functionalities to streamline data processing tasks. Key Features and Functionality: - Handling Missing Data: Pandas offers easy handling of missing data, represented as `NaN`, `NA`, or `NaT`, in both floating point and non-floating point data. - Size Mutability: Columns can be inserted and deleted from DataFrame and higher-dimensional objects, allowing for dynamic data manipulation. - Data Alignment: Automatic and explicit data alignment ensures that objects can be aligned to a set of labels, facilitating accurate computations. - Group By Operations: Powerful and flexible group by functionality enables split-apply-combine operations on datasets for both aggregating and transforming data. - Data Conversion: Simplifies converting differently-indexed data in other Python and NumPy data structures into DataFrame objects. - Indexing and Subsetting: Provides intelligent label-based slicing, fancy indexing, and subsetting of large datasets. - Merging and Joining: Facilitates intuitive merging and joining of datasets. - Reshaping and Pivoting: Offers flexible reshaping and pivoting of datasets. - Hierarchical Labeling: Supports hierarchical labeling of axes, allowing multiple labels per tick. - Robust I/O Tools: Includes robust tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving/loading data from the ultrafast HDF5 format. - Time Series Functionality: Provides time series-specific functionality, including date range generation, frequency conversion, moving window statistics, and date shifting and lagging. Primary Value and User Solutions: Pandas addresses the challenges of data analysis by offering a comprehensive suite of tools that simplify the process of data manipulation, cleaning, and analysis. Its intuitive data structures and functions allow users to perform complex operations with minimal code, enhancing productivity and enabling efficient handling of large datasets. By providing seamless integration with other Python libraries and tools, Pandas serves as a cornerstone for data science workflows, empowering users to extract insights and make data-driven decisions effectively.