#typescript #augmented_analytics #automated_data_analysis #automated_visualization #autovis #causal_discovery #causal_inference #causality #data_analysis #data_exploration #data_visualization #datamining #eda #k6s #kanaries #machine_learning #tableau #tableau_alternative #visualization

https://github.com/Kanaries/Rath

#r_lang #data_visualization #r

https://github.com/cxli233/FriendsDontLetFriends

#typescript #analytics #apache #apache_superset #asf #bi #business_analytics #business_intelligence #data_analysis #data_analytics #data_engineering #data_science #data_visualization #data_viz #flask #python #react #sql_editor #superset

Superset is a powerful business intelligence tool that helps you explore and visualize data easily. It offers a no-code interface for building charts, a robust SQL Editor for advanced queries, and support for nearly any SQL database or data engine. You can create beautiful visualizations, define custom dimensions and metrics quickly, and use a lightweight caching layer to reduce database load. Superset also provides extensible security roles and authentication options, an API for customization, and a cloud-native architecture designed for scale. This makes it easier to analyze and present your data in a user-friendly way, replacing or augmenting proprietary BI tools effectively.

https://github.com/apache/superset

#python #data_analysis #data_science #data_visualization #deep_learning #deploy #gradio #gradio_interface #hacktoberfest #interface #machine_learning #models #python #python_notebook #ui #ui_components

Gradio is a Python package that helps you quickly build and share web demos for your machine learning models or any Python function. You don't need to know JavaScript, CSS, or web hosting to use it. With just a few lines of Python code, you can create a demo and share it via a public link. Gradio offers various tools like the `Interface` class for simple demos, `ChatInterface` for chatbots, and `Blocks` for more complex custom applications. It also allows easy sharing of your demos with others by generating a public URL in seconds. This makes it easy to showcase your work without technical hassle.

https://github.com/gradio-app/gradio

#jupyter_notebook #data_analysis #data_science #data_visualization #pandas #python

This curriculum is designed to help beginners learn data science over 10 weeks with 20 detailed lessons. Each lesson includes pre- and post-lesson quizzes, step-by-step guides, knowledge checks, and assignments to ensure you retain the information. You'll learn about data ethics, statistics, working with different types of data, data visualization, and the entire data science lifecycle. The project-based approach helps you build practical skills while learning. Additionally, there are resources for students and teachers to make the learning process flexible and engaging. This curriculum is beneficial because it provides a structured and interactive way to gain hands-on experience in data science, making it easier to understand and apply these skills in real-world scenarios.

https://github.com/microsoft/Data-Science-For-Beginners

#typescript #api #app #cms #composable #data_visualization #database #directus #graphql #headless_cms #javascript #mariadb #mssql #mysql #no_code #node #postgresql #sql #sqlite #typescript #vue

Directus is a tool that helps you manage your SQL database content in real-time. It's open source, so you don't have to pay extra or get locked into a specific vendor. You can use it with many different databases like PostgreSQL, MySQL, and more. Directus provides a fast API and a user-friendly dashboard that doesn't require coding skills. You can run it locally, on your own servers, or use their cloud service starting at $15/month. This makes it easy to manage your data without needing technical expertise, and you can customize it to fit your needs.

https://github.com/directus/directus

#javascript #charting_library #charts #d3 #data_visualization #plotly #plotly_dash #regl #visualization #webgl

Plotly.js is a powerful tool for creating various types of charts and visualizations using JavaScript. It allows you to make statistical charts, 3D graphs, scientific charts, and more. You can easily load it into your project using a script tag or as a Node module. This library is beneficial because it offers a wide range of visualization options, making it easy to present data in an interactive and engaging way. Additionally, it is well-documented and has a strong community support, which helps if you need help or want to contribute to its development.

https://github.com/plotly/plotly.js

#java #bi #bigscreen #birt #data_analysis #data_visualization #dataease #datav #echart #echarts #finereport #highcharts #ireport #jasperreport #jfreechart #metabase #print #redash #report #superset #tableau

JimuReport is a free data visualization tool that helps you create reports, dashboards, and large screens easily online. Here’s what you need to know:

- It's free and supports complex reports with a user-friendly, drag-and-drop design interface similar to Excel.
- You can design various types of reports, including data reports, print designs, and graphical reports.
- It supports multiple data sources like MySQL, Oracle, and SQL Server, and offers 28 different types of charts.
- The tool is highly efficient, allowing you to design a report in just a minute.
- It also supports large screen designs with many components, similar to those used by big companies like Baidu and Alibaba.
- You can register with your phone number and start using it online for free.

This tool simplifies report development, reduces development time, and saves costs, making it a great choice for businesses needing professional yet easy-to-use reporting solutions.

https://github.com/jeecgboot/JimuReport

#python #artificial_intelligence #dag #data_science #data_visualization #dataflow #developer_tools #machine_learning #notebooks #pipeline #python #reactive #web_app

Marimo is a powerful tool for Python users that makes working with notebooks much easier and more efficient. Here’s what it offers When you run a cell or interact with UI elements, marimo automatically updates dependent cells, keeping your code and outputs consistent.
- **Interactive** Marimo ensures no hidden state and deterministic execution, making your work reliable.
- **Executable** Notebooks are stored as `.py` files, making version control easy.
- **Modern Editor**: It includes features like GitHub Copilot, AI assistants, and more quality-of-life tools.

Using marimo helps you avoid errors, keeps your code organized, and makes sharing and deploying your work simpler.

https://github.com/marimo-team/marimo

#python #agent #ai #data_visualization #database #llm #rag #sql #text_to_sql

Vanna is a tool that helps you generate SQL queries easily. Here’s how it works: you train a model with your database information, and then you can ask questions to get the corresponding SQL queries. This process is simple and doesn't require you to know the technical details underneath. The benefits include high accuracy, security since your data stays local, and the ability to use it with any SQL database. You can also customize the interface to suit your needs, such as using Jupyter Notebooks, Slack, or web apps. This makes it easier and faster to work with your database without writing complex SQL queries manually.

https://github.com/vanna-ai/vanna

#typescript #alerting #analytics #business_intelligence #dashboard #data_visualization #elasticsearch #go #grafana #hacktoberfest #influxdb #metrics #monitoring #mysql #postgres #prometheus

Grafana is a free tool that helps you monitor and understand your data. You can use it to create graphs, dashboards, and alerts for your metrics and logs. It allows you to mix data from different sources and explore your data in various ways. You can also share dashboards with your team and set up notifications for important changes. This helps you make better decisions based on your data and keeps your team informed. To get started, you can download Grafana and follow the installation guides.

https://github.com/grafana/grafana

#java #apache_doris #business_intelligence #data_analysis #data_visualization #echarts #kettle #superset #tableau

DataEase is a free, open-source tool that helps you analyze data and see business trends easily. It connects to many types of data sources like databases and files, and you can create charts quickly by dragging and dropping. It's easy to use, even if you're not tech-savvy, and it has an AI feature that answers your data questions in natural language. You can also share your data safely with others. This tool is beneficial because it's simple, powerful, and free, making it accessible to everyone who needs to analyze data.

https://github.com/dataease/dataease

#csharp #asp_net_core #blazor #blazor_application #blazor_components #blazor_ui #blazor_ui_components #blazor_webassembly #bootstrap #bootstrap5 #charts #component_library #components #csharp #data_grid #data_visualization #datagrid #fluent #material #netcore #wasm

Radzen Blazor Components offer over 90 free and open-source UI controls for Blazor applications. These components are native to Blazor, meaning they are written in C# and don't rely on JavaScript frameworks. This makes them efficient and easy to use. You can install them from NuGet or build your own copy from source. The components are constantly updated with new features, and you have access to community support and optional dedicated support with a Radzen Professional subscription. This helps you develop Blazor applications quickly and effectively, with tools like a WYSIWYG design canvas and scaffolding for CRUD applications, making your development process smoother and more productive.

https://github.com/radzenhq/radzen-blazor

#typescript #apache #canvas #charting_library #charts #data_visualization #data_viz #echarts #svg #visualization

Apache ECharts is a free and powerful tool for creating interactive and customizable charts. It is written in JavaScript and easy to use, making it great for adding charts to your products. You can download it from the official website, use npm, or a CDN. It has lots of documentation and examples to help you get started. Using ECharts benefits you by allowing you to create professional-looking charts quickly and easily, which can enhance your data visualization and make your products more engaging.

https://github.com/apache/echarts

#clojure #analytics #bi #business_intelligence #businessintelligence #clojure #dashboard #data #data_analysis #data_visualization #database #metabase #mysql #postgres #postgresql #reporting #slack #sql_editor #visualization

Metabase is a simple, open-source tool that helps everyone in your company ask questions and learn from data without needing to know SQL. You can set it up in just five minutes and create interactive dashboards, define key metrics, and send data to Slack or email. It also allows you to set alerts for data changes and embed charts into your app. Metabase supports various databases and can be run almost anywhere. Using Metabase, you can make better decisions with your data easily and quickly, making it a valuable tool for your team.

https://github.com/metabase/metabase

#c_lang #alerting #cncf #data_visualization #database #devops #docker #grafana #influxdb #kubernetes #linux #machine_learning #mongodb #monitoring #mysql #netdata #observability #postgresql #prometheus #raspberry_pi #statsd

Netdata is a powerful monitoring tool that helps you keep an eye on your servers, containers, and applications in real-time. Here’s what you need to know Netdata collects data every second, giving you immediate insights into your system's behavior.
- **Zero-Configuration** Netdata uses ML to detect anomalies and patterns in your metrics, helping you identify issues before they become critical.
- **Scalability** Netdata monitors everything from system resources to application logs, providing a complete view of your infrastructure.
- **Energy Efficiency**: Studies have shown that Netdata is the most energy-efficient monitoring tool, consuming fewer resources than other solutions.

Using Netdata benefits you by providing real-time, high-resolution monitoring, automated anomaly detection, and advanced visualization tools, all while being highly scalable and energy-efficient. This makes it easier to manage and troubleshoot your systems effectively.

https://github.com/netdata/netdata

#python #ai #csv #data #data_analysis #data_science #data_visualization #database #datalake #gpt_4 #llm #pandas #sql #text_to_sql

PandaAI is a tool that lets you ask questions about your data using natural language. It's helpful for both non-technical and technical users. Non-technical users can interact with data more easily, while technical users can save time and effort. You can load your data, save it as a dataframe, and then ask questions like "Which are the top 5 countries by sales?" or "What is the total sales for the top 3 countries?" PandaAI also allows you to visualize charts and work with multiple datasets. It's easy to install using pip or poetry and can be used in Jupyter notebooks, Streamlit apps, or even a secure Docker sandbox. This makes it simpler and more efficient to analyze your data.

https://github.com/sinaptik-ai/pandas-ai

#shell #chart #charts #d3 #data_visualization #svg #visualization

D3.js is a free JavaScript library that helps create interactive and custom data visualizations. It offers great flexibility, allowing developers to make dynamic graphics using web standards. This means you can easily customize how your data looks and behaves on the web. The benefit of using D3.js is that it allows users to explore complex data in an engaging way, making it easier to understand and analyze information. Whether you're working with simple charts or complex networks, D3.js provides tools to bring your data to life interactively.

https://github.com/d3/d3

#typescript #data_visualization #database #database_schema #documentation #documentation_tool #entity_relationship_diagram #er_diagram #erd #nodejs #orm #postgresql #prisma #react_flow #reactjs #ruby_on_rails #sql #tbls #typescript #visualization #webassembly

Liam ERD is a tool that helps you create easy-to-understand diagrams of your database. It makes interactive diagrams that you can zoom in and out of, filter, and explore easily. This tool is useful for both small and large projects, handling over 100 tables with ease. It's simple to set up and is open-source, meaning you can contribute to it. Using Liam ERD helps you visualize complex database structures quickly, making it easier to understand and work with your data. This saves time and reduces errors compared to drawing diagrams manually.

https://github.com/liam-hq/liam

#other #automl #chatgpt #data_analysis #data_science #data_visualization #data_visualizations #deep_learning #gpt #gpt_3 #jax #keras #machine_learning #ml #nlp #python #pytorch #scikit_learn #tensorflow #transformer

This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently.

https://github.com/ml-tooling/best-of-ml-python