Apps with 'Data visualization' feature

Grafana provides a powerful and elegant way to create, explore, and share dashboards and data with your team and the world.

Teable is a super fast, real-time, professional, developer friendly, no-code database built on Postgres. It uses a simple, spreadsheet-like interface to create complex enterprise-level database applications.

Highly customizable, user-friendly tool for creating relational databases that you can edit like a spreadsheet. Organize anything, with grids, forms, views, filters and grouping, calendars, Kanban, templates, collaboration, and integrations.

Track daily expenses with a simple UI, featuring modern pie-chart visuals and single-user focus. Supports CSV export, REST API, and Docker deployment.

Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.

Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications.

AI-powered platform with customizable client portals, unlimited accounts, internal workspaces, collaborative editing, task management, and no-code knowledge bases.

Scilab is free and open source software for numerical computation providing a powerful computing environment for engineering and scientific applications. Scilab includes hundreds of mathematical functions.

Openpanel is a simple analytics tool for logging events on web, apps and backend. We have tried to combine Mixpanel and Plausible in the same product.

Track your habits and build lasting habits. Start with simple yes/no habits. Perfect for daily routines like meditation or reading.

Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing. Includes 100+ of the most popular Python packages for science, math, engineering, data analysis. Cross platform on Linux, Windows, Mac.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

Provides a versatile architecture for interactive computing featuring dynamic shell, data visualization, and parallel computing capabilities.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Gnuplot is a portable command-line driven interactive data and function plotting utility. It was originally intended as to allow scientists and students to visualize mathematical functions and data. It does this job pretty well, but has grown to support many non-interactive...

Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design...

Tableau helps the world’s largest organizations unleash the power of their most valuable assets: their data and their people.

Wazuh is a free and open source platform used for threat prevention, detection, and response. It is capable of protecting workloads across on-premises, virtualized, containerized, and cloud-based environments.

AI business intelligence tool for rapid dashboard creation, enabling data analysis without SQL and facilitating real-time insights and collaboration.

RAWGraphs is an open source app built with the goal of making the visualization of complex data easy for everyone. Born as tool for designers and vis geeks, RAWGraphs aims at providing a missing link between spreadsheets and vector graphics editors.

LabPlot is a free, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies like Apache Flume, Fluentd, and many others.

Pretzel is an open-source, offline browser-based tool for fast and intuitive data exploration and visualization. It can handle large data files, runs locally in your browser, and requires no backend setup.

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software.

Enhance your decision-making by transforming diverse data sources into engaging, interactive visual insights with tools like Power BI Desktop and a web service.