data science
Observable Framework: A Free Static Site Generator Tailored for Data Engineers
Transform Data into Interactive Dashboards with Observable Framework
data science
Open-source data science application
Python
23 Projects and Frameworks to Build Python Data Apps for Data Scientists and Business Developers
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, Generate Rich Reports With SQL and Markdown
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
Top 25 Python Libraries and Frameworks for Stunning Data Visualizations in 2024
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
data science
Mercury:Convert Python Jupyter Notebook to Web App
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: Build Data Apps from Simple Python Scripts
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
data engineering
ArchieML: Create Structured Easily from Static Files
What is ArchieML? ArchieML (Archie Markup Language) is a simple and human-readable markup language designed for managing content in a structured format. It was developed by the Interactive News team at The New York Times to simplify the process of working with structured data in a way that is easy
Python
19 Free Python UI Libraries for Building GUI Desktop Apps
Python is a versatile programming language known for its simplicity and readability, making it a popular choice for various applications, including GUI desktop apps. With libraries like Tkinter, PyQt, and PySide, developers can create cross-platform graphical user interfaces that are both functional and visually appealing. Tkinter, included with Python, is
Rust
The Rust Revolution in Data Science: Why It's a Game Changer and 10 Projects to Prove It
Rust, a systems programming language, is gaining traction in various fields, including data science. Rust is known for its performance, safety, and concurrency capabilities, Rust offers several advantages for data engineering, databases, real-time data processing, and data analytics. Why Rust? Rust is designed to be fast and reliable, making it
Pathology
18 Free and Open-source Whole Slide Imaging Pathology Projects and Libraries, a Comprehensive Guide for Bioengineers and Bio Data Scientists (2024)
Digital pathology is a cutting-edge field that transforms traditional pathology by digitizing glass slides into high-resolution whole slide images (WSIs). These WSIs capture the entire tissue sample on a slide, enabling detailed analysis and diagnostics through digital means. By using advanced imaging techniques, digital pathology allows pathologists to view, analyze,
mathematic
15 Free Mathematics Apps for Windows, Linux and macOS
Mathematics apps are essential tools used by engineers, scientists, educators, and researchers to perform complex calculations, simulations, and data analysis. These applications provide functionalities like symbolic computation, numerical analysis, data visualization, and more. Professionals in academia, industry, and research rely on these tools for tasks ranging from simple calculations to
data science
Best 15 Julia Packages for Data Engineering
Data engineering is the backbone of any data-driven project. With the right tools, you can streamline your data workflows, from collection and transformation to storage and retrieval. Julia, known for its high performance and ease of use, offers a plethora of packages tailored for data engineering tasks. Getting Started with
Tutorials
Data Visualization in Julia Language for Data Engineers
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
programming
Julia Language: A Hidden Gem for Data Science and Data Engineering
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
data engineering
DIVA: Empowering Secure and Compliant Data Sharing in the Digital Age
Exploring DIVA: A Deep Dive into Secure and Privacy-Aware Data Usage