Pandas VS Bryntum
Compare Pandas VS Bryntum and see what are their differences
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Tired of building scheduling features from scratch? Bryntum’s high-performance components handle the heavy lifting - no more date-time nightmares. Our JavaScript widgets (Scheduler, Data Grid, Gantt, TaskBoard, Calendar) integrate seamlessly with React, Angular, or Vue. They process massive datasets, deliver fast rendering, and adapt to your style. With robust docs, flexible APIs, and dedicated support, Bryntum helps you build top-tier apps without the late-night debugging.
Pandas BryntumPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Bryntum's answer:
Bryntum primarily targets professional software teams - particularly frontend developers, architects, UX, and technical leads who need robust scheduling and project-planning functionality for their web applications. Our products (such as the Scheduler and Gantt components) are designed for organizations that want to integrate sophisticated resource management, timeline visualization, and interactive scheduling into existing or new software solutions.
In practice, these teams often work in industries and use cases where precise scheduling is critical (e.g., project management, construction, healthcare, manufacturing, and IT services). While developers are the day-to-day implementers of Bryntum’s products, managers or product owners (such as PMO leads or development managers) also play a role in evaluating Bryntum’s solutions to ensure they meet the organization’s technical and business requirements.
Bryntum's answer:
What Makes Bryntum Unique?
Bryntum stands out because of its laser focus on high-performance, enterprise-grade JavaScript components—particularly around scheduling and project planning. Here are a few reasons why Bryntum is unique:
Advanced Scheduling Expertise
Bryntum’s Scheduler and Gantt products are widely recognized for their sophisticated scheduling capabilities. Their tools handle complex resource allocations, dependencies, drag-and-drop reordering, and timeline visualizations—making them a go-to choice for project and resource management in large-scale applications.
Pure JavaScript (Framework Agnostic)
All Bryntum components are developed using modern, pure JavaScript. This means they can easily integrate into any tech stack or framework (React, Angular, Vue, etc.) without sacrificing functionality or performance. If you switch frameworks in the future, you can keep using Bryntum’s components with minimal refactoring.
Performance & Scalability
Bryntum components are designed for high-volume data rendering. Whether it’s thousands of tasks in a Gantt chart or a scheduler loaded with numerous resources, Bryntum’s products can handle heavy data loads smoothly and maintain snappy interactions.
Robust Feature Set
From critical-path analysis in Gantt charts to resource histograms and timeline overviews, Bryntum packs advanced features that meet enterprise project-planning requirements. This feature depth is one reason many organizations choose Bryntum over more general-purpose grid libraries.
Extensive Documentation & Demos
Bryntum provides thorough documentation, live examples, and demo apps that showcase how to integrate its components into a variety of environments. This makes it easier for developers to learn the product and quickly build prototypes.
Dedicated Support & Development
A hallmark of Bryntum is its attentive support. Their engineering and support teams are responsive and highly knowledgeable about both front-end development and project-planning logic, which speeds up troubleshooting and feature requests.
By focusing on scheduling and project-planning tools with high performance, great flexibility, and deep functionality, Bryntum has carved out a niche that sets it apart from other libraries and component vendors.
Bryntum's answer:
Performance, UX and abundance of features.
Bryntum's answer:
JavaScript, TypeScript and CSS
Bryntum's answer:
Bryntum was founded by Mats Bryntse, a software developer from Stockholm, Sweden, who had a deep interest in creating advanced scheduling solutions for web applications. Originally, Bryntum began as a consulting and component-development company centered around Sencha Ext JS, one of the leading JavaScript frameworks in the late 2000s.
Early Days (Ext Scheduler & Gantt)
Mats Bryntse developed the first version of Ext Scheduler, a scheduling component based on Ext JS, in response to a growing demand for an interactive resource-scheduling tool in web applications. Building on the success of Ext Scheduler, Bryntum introduced a Gantt component, allowing developers to visualize and manage project tasks, dependencies, and timelines directly in the browser. Transition to Pure JavaScript
Over time, the JavaScript ecosystem expanded to include many popular frameworks (React, Angular, Vue, etc.). Instead of maintaining separate builds for each, Bryntum decided to make its components framework agnostic, rebuilding them as pure JavaScript libraries. This shift allowed Bryntum’s tools to be integrated into virtually any front-end stack while delivering the same level of performance and scheduling sophistication.
Bryntum's answer:
Over 5,000 customers in 80 countries: https://bryntum.com/company/customers/
Based on our record, Pandas seems to be more popular. It has been mentiond 220 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 14 days ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 5 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 6 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 6 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 8 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Mobiscroll - UI controls for great web & mobile developers. Use it for progressive web and hybrid apps with plain JS, jQuery, Angular, React and KO.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DHTMLX - JavaScript Library for cross-platform web and mobile app development with HTML5 JavaScript widgets. Easy integration with popular JavaScript Frameworks.
OpenCV - OpenCV is the world's biggest computer vision library
Schedule-X.dev - Modern JavaScript Event calendar for React, Angular, Vue and plain JS. Modern alternative to Fullcalendar. Drag & drop, dark mode, event resizing and more.