Browse free open source Data Visualization software and projects below. Use the toggles on the left to filter open source Data Visualization software by OS, license, language, programming language, and project status.

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 1
    Metabase

    Metabase

    The simplest, fastest way to share business intelligence and analytics

    Metabase is the easiest way to let everyone in your company access business data and analytics, learn from it and ask questions. Even if you or your colleagues have no experience in SQL, you can easily summarize and visualize your data, share it and let your team ask questions about it. Metabase creates beautiful graphs and charts, with an easy-to-use dashboard where everyone can create, organize and share exceptionally visualized data. It supports a great number of databases, including Postgres, MySQL, Druid, MongoDB, SQLite and more. Setup literally takes 5 minutes.
    Downloads: 41 This Week
    Last Update:
    See Project
  • 2
    DataEase

    DataEase

    Data visualization analysis tool

    An open source data visualization analysis tool available to everyone. DataEase is an open-source data visualization analysis tool that helps users quickly analyze data and gain insight into business trends, so as to achieve business improvement and optimization. DataEase supports rich data source connections, can quickly create charts by dragging and dropping, and can easily share with others. Supports rich chart types (Apache ECharts / AntV), supports drag-and-drop method to quickly create dashboards. Support direct connection mode, local mode (based on Apache Doris / Kettle implementation). Support various data sources such as data warehouse/data lake, OLAP database, OLTP database, Excel data file, API, etc. Open source and open: zero threshold, quick access and installation online; quick access to user feedback, new versions released monthly. pport multiple data sharing methods to ensure data security.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 3
    Davinci

    Davinci

    Davinci is a DVsaaS (Data Visualization as a Service) Platform

    Davinci is oriented towards product managers, business people, data engineers, data analysts, data scientists, etc. It aims to provide a one-stop data visualization solution, which could be both independently used as a public cloud/private cloud and integrated into third-party systems as plugin. A simple configuration on Davinci UI can meet multiple visualization requirements. It also supports other visualization features like advanced interaction, industry analysis, pattern searching, social intelligence, etc. Sharing and intelligence capability means users could share their dashboards with others, which stimulates them to improve the visualization ability both in aesthetic perception and technical skills. In the field of data visualization, Davinci attaches great importance to basic interaction ability and various chart options; meanwhile, it lays more stress on integration and customization capability as well as sharing and intelligence capability.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Visdom

    Visdom

    A tool for creating, organizing, and sharing data visualizations

    A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has a simple set of features that can be composed for various use-cases. The UI begins as a blank slate, you can populate it with plots, images, and text. These appear in windows that you can drag, drop, resize, and destroy. The windows live in envs and the state of envs is stored across sessions. You can download the content of windows, including your plots in svg.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Level Up Your Cyber Defense with External Threat Management Icon
    Level Up Your Cyber Defense with External Threat Management

    See every risk before it hits. From exposed data to dark web chatter. All in one unified view.

    Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
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  • 5
    just-dashboard

    just-dashboard

    Dashboards using YAML or JSON files

    Dashboards using YAML or JSON files. Create a public GitHub gist with a file named dashboard.yml or dashboard.json (depending on your preferred format) As your dashboard is just data, you can generate it instead of repeating yourself. You can do that by generating the YAML or JSON file yourself, or you can use jq queries in your YAML file. And one with a dashboard that contains a component that can fetch the data from other other gist and turn it into 3 different charts. Using the same principle, you can also loads parts from your dashboard from other files, or just JSON/CSV data for specific charts. Suppose you are only interested in comparing foods by how much they contain of a single macronutrient. However, you want to be able to decide which macronutrient.
    Downloads: 0 This Week
    Last Update:
    See Project
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