science apps
Astronomers and hobbyists alike can benefit from a wide array of open-source software for stargazing and research. These free tools cover everything from sky mapping to image processing, offering alternatives to expensive commercial options. Why Choose Open-Source? 1. Free to use 2. Community-driven improvements 3. Transparent and trustworthy 4. Customizable
Developer Tools
VTable, developed by VisActor, is a powerful open-source table component for data visualization projects. It offers a high-performance, customizable, and interactive solution for handling large datasets. VTable's flexibility and efficiency make it an excellent choice for developers creating visually appealing and interactive tables for dashboards, analytics, and complex
Python
Python is a top choice for building data applications due to its versatility, ease of use, and strong ecosystem of libraries. For data scientists and business developers, Python offers powerful tools for data analysis, machine learning, and data visualization, making it ideal for tackling complex data science projects and delivering
data science
Evidence is an open-source, code-based alternative to drag-and-drop business intelligence tools. It is a lightweight framework for building data apps. It's open source and free to get started. Evidence can be easily self-hosted at Netlify, Vercel or even your own server. Generate a Feature-rich website Evidence generates a
Python
For Python developers, mastering these visualization tools can significantly enhance their skill set, making them more valuable in the job market and enabling them to tackle a broader range of data-driven projects. Benefits of Data Visualization for Python Projects, Data Science, and Analytics: 1. Enhanced Data Understanding: Visualizations simplify complex
Visualization
Visualization help end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes. Type of Charts * Area Chart * Bar Chart * Column Chart * Line Chart * 3D Tilt Effect * 3D Bars Effect * Stacked Columns * Multi-dataset charts Features * Semantic Structure * Highly Customizable * Responsive * Accessible * Many
Visualization
Data visualization is crucial for understanding complex datasets, and Microsoft’s SandDance takes it to the next level. With its ability to create 3D visualizations and smooth animations, SandDance enables users to interact with their data in ways that traditional tools can't offer. What is SandDance? SandDance by
data science
Mercury is a free and open-source app that allows you to add interactive widgets in Python notebooks, so you can share notebooks as web applications. Mercury offers a set of widgets with simple re-execution of cells. Features * Easy to use * add widgets with Python code - no frontend experience needed!
data science
Streamlit is an open-source Python self-hosted platform that makes it incredibly easy to create and share web applications for machine learning and data science. With Streamlit, you can transform data scripts into interactive web apps in just a few minutes, without needing to have deep expertise in web development. You
Visualization
Gephi is an award-winning open-source platform for visualizing and manipulating large graphs. It runs on Windows, Mac OS X and Linux. Gephi is a robust software application designed for network visualization and analysis. It allows users to manipulate the structure, shape, and color of networks in real time, helping to
Tutorials
Data visualization is an essential aspect of data analysis, enabling you to understand and communicate your data's underlying patterns and insights. Julia offers several powerful packages for creating various types of visualizations, from basic plots to complex interactive charts. In this tutorial will introduce you to some of
Open-source
Designing and visualizing interior spaces has never been more accessible, thanks to a plethora of innovative tools available today. From powerful open-source applications to web-based platforms, there's something for everyone, whether you're a professional designer or a DIY enthusiast. Open-source and self-hosted projects offer significant benefits,
programming
Julia is a high-level, high-performance programming language developed specifically for numerical and scientific computing. Launched in 2012, it combines the ease of use of Python with the speed of C. Julia's design revolves around performance, with a just-in-time (JIT) compiler, allowing it to execute code efficiently. While Julia
React
As a React developer, there's a high probability that you've encountered scenarios where you needed to incorporate some form of visualization into your applications. This could be anything from simple graphs to complex interactive visuals. The question then arises - which library should you choose for
List
Welcome to an exhaustive list of over 30 data visualization libraries, frameworks, and applications. These tools span across a myriad of platforms and programming languages, providing you with the capability to present complex data in visually appealing and accessible ways. These solutions cater to a wide range of needs, whether
Self-hosted
Apache Superset™ is an open-source modern data exploration and visualization platform.
devops
Sampler: Transform Any Shell Command into Stunning Visualizations
Python
Before we start, it is important to add the following Disclaimer by the project creators. Disclaimer for Google Maps Scraper Project This Google Maps Scraper is provided for educational and research purposes only. By using this Google Maps Scraper, you agree to comply with local and international laws regarding data
List
What is a Visual Novel? A visual novel is a storytelling medium that uses text, visuals, and audio to convey a narrative. They often involve player choices that can lead to different story outcomes, similar to "choose your own adventure" books. Usage of a Visual Novel In education,
Open-source
Lathraea Rhodopaea is a powerful C++ console application specifically designed for efficiently managing a wide range of historical events. With this application, users can effortlessly add, remove, edit, and visualize historical events, storylines, and users. The program offers a user-friendly and intuitive interface, making it the ultimate tool for organizing
Visualization
For the sales manager, organized traveler or efficient mother, interactive maps software has become an equally fundamental tool to add to your arsenal. At a very basic level, it offers a user-friendly means to navigate location data, enabling users to zoom in and out, alter map types, and access diverse
Tutorials
In this tutorial, we will explore how to use Pandas to visualize data. We will cover various techniques and code snippets to create insightful visualizations. Let's dive in! 1- Import the necessary libraries: import pandas as pd import matplotlib.pyplot as plt 2- Load the data into a
Productivity
Mind mapping software is a tool that allows users to visually organize their thoughts, ideas, and information in a hierarchical and interconnected manner. It is based on the concept of mind maps, which are graphical representations of concepts or ideas linked together by branches. Mind maps typically start with a
Visualization
Open-source web platform used to create live reporting dashboards from APIs, MongoDB, Firestore, MySQL, PostgreSQL, and more 📈📊