Open Source TypeScript Data Management Systems
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TypeScript Data Management Systems
View 4237 business solutionsBrowse free open source TypeScript Data Management Systems and projects below. Use the toggles on the left to filter open source TypeScript Data Management Systems by OS, license, language, programming language, and project status.
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Build Securely on Azure with Proven FrameworksMoving 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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Azure Data Studio
A data management tool that enables working with other SQL tools
Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data warehouses wherever they are, on your local computer or in the cloud. Azure Data Studio offers a modern, keyboard-focused SQL coding experience that makes your everyday tasks easier with built-in features, such as multiple tab windows, a rich SQL editor, IntelliSense, keyword completion, code snippets, code navigation, and source control integration (Git). -
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Rackula
Drag and drop rack visualizer
Rackula is a browser-based rack layout designer aimed at homelabbers, audio/video technicians, and equipment organizers who want a visual way to plan and document physical device racks. It runs entirely client-side with no backend server required, making it lightweight, fast, and easy to self-host or run locally without external dependencies. Users can drag and drop devices into customizable rack spaces, annotate equipment, set unit sizes, and manage complex layouts as their setup evolves. The tool emphasizes clarity and ease of use so that both hobbyists and professionals can plan wiring, sizing, and space allocation before physically committing to changes. It also supports exporting and sharing of layouts, which is useful for documentation or collaboration across teams. Community contributions focus on persistent storage, self-hosting guides, and UI improvements that make Rackula more adaptable for different environments. -
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Superset
Apache Superset is a data visualization and data exploration platform
Apache Superset is a modern data exploration and visualization platform. Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Quickly and easily integrate and explore your data, using either our simple no-code viz builder or state-of-the-art SQL IDE. Superset can connect to any SQL-based data source through SQLAlchemy, including modern cloud-native databases and engines at a petabyte-scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. Superset ships with a wide array of beautiful visualizations. Our visualization plug-in architecture makes it easy to build custom visualizations that drop directly into Superset. -
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Quadratic
Data science spreadsheet with Python & SQL
Quadratic enables your team to work together on data analysis to deliver better results, faster. You already know how to use a spreadsheet, but you’ve never had this much power before. Quadratic is a Web-based spreadsheet application that runs in the browser and as a native app (via Electron). Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today (Python, Pandas, SQL, JS, Excel Formulas, etc). Quadratic has no environment to configure. The grid runs entirely in the browser with no backend service. This makes our grids completely portable and very easy to share. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. Quickly write code and see the output in full detail. No more squinting into a tiny terminal to see your data output. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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GitNexus
Zero-Server Code Intelligence Engine
GitNexus is a zero-server code intelligence engine that builds an interactive knowledge graph of a codebase entirely within the user’s browser. The tool allows developers to drop in a GitHub repository or ZIP archive and automatically generate a relational map of files, dependencies, and structural relationships. Its core concept centers on precomputed relational intelligence, enabling AI systems to retrieve comprehensive context with minimal queries. GitNexus includes a built-in Graph RAG agent that helps users explore and understand complex repositories through intelligent navigation and querying. Because the system runs client-side, it emphasizes privacy and portability without requiring backend infrastructure. Overall, GitNexus is designed for developers, code reviewers, and AI tooling builders who need fast, visual codebase comprehension. -
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FossFLOW
Make beautiful isometric infrastructure diagrams
FossFLOW is an open-source Progressive Web App for creating visually rich isometric infrastructure and network diagrams directly in the browser. Built with React and the Isoflow library, the application provides a specialized environment for producing 2.5D technical diagrams that are especially useful for DevOps and architecture documentation. The project is structured as a monorepo containing both a reusable React component library and the full web application wrapper. Because it runs fully client-side with offline support, users can design diagrams without sending data to external servers. FossFLOW focuses on usability through drag-and-drop components, connector tools, and automatic saving capabilities. Overall, it serves engineers and technical teams who want a modern, open alternative to traditional diagramming tools with a strong visual infrastructure focus. -
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Excalidraw MCP
Fast and streamable Excalidraw MCP App
Excalidraw-MCP is an open-source Model Context Protocol (MCP) application and server that connects the visual power of Excalidraw’s hand-drawn diagram editor with AI-driven workflows, enabling agents like Claude, ChatGPT, VS Code, and other MCP-compatible hosts to generate and manipulate diagrams programmatically. Rather than being just a static whiteboard, Excalidraw-MCP serves diagrams in real time using an MCP backend and streams interactive visual output back to the client, letting AI tools create shapes, connectors, text, and entire diagrams as part of conversational or task-based sessions. Its design supports fast, streamable rendering with smooth viewport control and optional fullscreen editing so that diagrams feel live and fluid as they evolve. Users can deploy it locally or via services like Vercel, then configure their MCP host to point at the Excalidraw-MCP endpoint, so prompts like “draw an architecture diagram” yield immediate visual results within chat. -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income dataset, used for predicting whether an individual’s income exceeds $50K/yr based on their census data. The census data contains features such as age, education level, and occupation for each individual. Overview gives users a quick understanding of the distribution of values across the features of their dataset(s). Uncover several uncommon and common issues such as unexpected feature values, missing feature values for a large number of observation, training/serving skew and train/test/validation set skew. -
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XState
State machines and statecharts for the modern web
JavaScript and TypeScript finite state machines and statecharts for the modern web. Statecharts are a formalism for modeling stateful, reactive systems. This is useful for declaratively describing the behavior of your application, from the individual components to the overall application logic. XState is a library for creating, interpreting, and executing finite state machines and statecharts, as well as managing invocations of those machines as actors. The following fundamental computer science concepts are important to know how to make the best use of XState, and in general for all your current and future software projects. -
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Foxglove Studio
Robotics visualization and debugging
Foxglove Studio is an open-source visualization and debugging tool for robotics. Use customizable layouts to arrange interactive visualizations and quickly understand what your robot is doing. Use Foxglove Studio's rich interactive visualizations to analyze live connections and pre-recorded data. Experience the world as your robot does. Visualize images and point clouds, overlay bounding boxes, add classification labels and planned movements, and drill down into your data with plots or raw message views. Upload recordings to your private data lake for easy storage, searching, and analysis. Stream recorded data directly into Foxglove Studio to get insights into your robots' behavior. We're long-time fans and beneficiaries of open source software. Join our community on Github and Slack to contribute bug reports, feature requests, or pull requests. -
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Architecture as a code
Visualize, collaborate, and evolve the software architecture
Architecture as a code is an open-source modeling language and toolkit that enables software teams to describe, visualize, collaborate on, and maintain software architecture as code. Inspired by the C4 Model and other architectural DSLs, LikeC4 lets you define your system’s structure in a textual DSL and then automatically generate consistent diagrams that reflect that design, ensuring that architecture documentation stays in sync with source code changes. The project includes command-line tooling, IDE integrations, live preview servers, and diagram exporters, letting developers instantly see architectural diagrams update as the model evolves. By treating architecture as code, teams benefit from version control, live collaboration, consistency across diagrams, and the ability to treat architectural change with the same tooling and workflows used for code. -
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Checkmate
Checkmate is an open-source, self-hosted tool
Checkmate is an open-source, self-hosted infrastructure monitoring platform that provides real-time visibility into server health, uptime, response times, and incident activity through a modern web interface. The application continuously checks whether websites and services are accessible and performing optimally, generating alerts and reports when availability or performance degrades. It supports detailed infrastructure monitoring through an optional agent called Capture, which collects hardware metrics such as CPU, memory, disk usage, and temperature from remote machines. The system is designed to scale, having been stress-tested with more than a thousand active monitors without major performance issues. Checkmate also includes incident tracking and notification capabilities so teams can quickly respond to outages or anomalies. Overall, the platform serves as a comprehensive, developer-friendly alternative to commercial uptime and infrastructure monitoring tools. -
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Data Formulator
Create rich visualizations with AI
To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data transformation barriers via LLMs' code generation ability. However, these systems do not work well for iterative visualization authoring, because they often require analysts to provide, in a single turn, a text-only prompt that fully describes the complex visualization task to be performed, which is unrealistic to both users and models in many cases. In this paper, we present Data Formulator 2, an LLM-powered visualization system to address these challenges. -
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Neuroglancer
WebGL-based viewer for volumetric data
Neuroglancer is a WebGL-based visualization tool designed for exploring large-scale volumetric and neuroimaging datasets directly in the browser. It allows users to interactively view arbitrary 2D and 3D cross-sections of volumetric data alongside 3D meshes and skeleton models, enabling precise examination of neural structures and biological imaging results. Its multi-pane interface synchronizes multiple orthogonal views with a central 3D viewport, making it ideal for analyzing complex brain imaging data such as connectomics datasets. Neuroglancer operates entirely client-side, fetching data over HTTP in a variety of supported formats including Neuroglancer precomputed, N5, Zarr, and NIfTI, among others. The viewer is built with a multi-threaded architecture, separating rendering and data processing to ensure smooth performance even with massive datasets. Extensively used in neuroscience research, Neuroglancer supports integration with tools. -
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Positron
Positron, a next-generation data science IDE
Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding experience along with specialized panes and tooling for variable inspection, data-frame viewing, plotting previews, and interactive consoles designed for analytical work. The IDE supports notebook and script workflows, integration of data-app frameworks (such as Shiny, Streamlit, Dash), database and cloud connections, and built-in AI-assisted capabilities to help write code, explore data, and build models. -
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Backstage
Backstage is an open platform for building developer portals
Powered by a centralized software catalog, Backstage restores order to your infrastructure and enables your product teams to ship high-quality code quickly, without compromising autonomy. At Spotify, we've always believed in the speed and ingenuity that comes from having autonomous development teams. But as we learned firsthand, the faster you grow, the more fragmented and complex your software ecosystem becomes. And then everything slows down again. By centralizing services and standardizing your tooling, Backstage streamlines your development environment from end to end. Instead of restricting autonomy, standardization frees your engineers from infrastructure complexity. So you can return to building and scaling, quickly and safely. Every team can see all the services they own and related resources (deployments, data pipelines, pull request status, etc.) -
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F2
An elegant, interactive and flexible charting library for mobile
F2 is an out-of-the-box visualization engine focused on the mobile terminal, oriented to conventional statistical charts, perfectly supporting the H5 environment and compatible with multiple environments (Node, applet), complete graphics grammar theory, to meet your various visualization needs , professional mobile design guidelines to bring you the best mobile graphics experience. Best practices for moving side charts around design, performance and heterogeneous environments. Based on the grammar of graphics, Flexible construction of various charts (50+), complete components, covering various scenarios. Plugin, graphics, animation and interaction can be flexibly expanded and freely used. Covering business scenarios such as Ant membership, Alipay monthly bills, personal total assets, etc., it helps you understand your consumption data faster and better through visualization. -
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Graffle
Simple GraphQL Client for JavaScript
Graffle is a simple, minimal, and extensible GraphQL client for JavaScript, designed to provide type-safe queries and run in various environments. -
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Jitsu
Jitsu is an open-source Segment alternative
Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time or send it in micro-batches (up to once a minute). Apply any transformation with Jitsu. Just write JavaScript code right in the UI to do anything with incoming data. And yes, the code editor supports code completion, debugging and many more. It feels like a full-featured IDE! -
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RevoGrid
Powerful virtual data grid smartsheet with advanced customization
Support Millions of cells and thousands of columns easy and efficiently for fast data rendering. Easy to use. For large organizations managing massive datasets. Performance and scalability to handle even the most complex data tables. Rapid prototyping with intuitive and extendable codebase. Agility to build robust data-driven applications in no time. Quickly build elegant and efficient data grids. Lightweight yet powerful architecture lets you easily scale as your needs grow. -
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TOAST UI Chart
Beautiful chart for data visualization
The Chart makes your data pop, and it is easy to use. It provides you with multiple charts like Bar, Column, Line, and more. The functionality of TOAST UI Chart is available when using the Plain JavaScript, React, Vue Component. TOAST UI Chart makes your data pop and presents it in a manner that is easy to understand. Furthermore, it provides a wide range of theme options for customizing the charts to be suitable for all of your services. Chart components like the title, axes, legends, tooltips, plots, series, and more can be customized through the options. Add different options and animations according to the charts' sizes by using the responsive option. Make the data presented in the Line, Area, and Treemap Charts zoomable with the zoomable option. View and manage new data as they are added realtime with the addData API and the options.series.shift option. -
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tabix
Tabix.io UI
Open source simple business intelligence application and sql editor tool for Clickhouse. Auto-completion of fields, dictionaries and functions. Tips on fields and functions in Russian and English. Reformatting queries / autoformat. Minimizes brackets and subqueries. Setting the autocompletion / enableLiveAutocompletion. Backlight brackets. The list of functions is loaded based on the capabilities of the server. Displays which query is running. Display the number of tables at the database. The icon of the table depends on its engine. List of fields in the table and inserting the field when clicking in the editor. DB selection via double click in the tree, pop-up window about selection. Search in the tree of objects, filtering the tree. Rebuilding the list of databases / tables after the query is executed. Table with information about completed requests at the end of the list / Requests in the tab are logged for performance comparison. -
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rocket-bi
An open-source web-based self-service BI for analytical databases
Rocket.BI is a free, open-source, web-based business intelligence solution specifically designed for analytical databases. It enables data analysts and business users alike to easily integrate different data sources, perform advanced data analysis, ad hoc, and more. With an easy-to-use editor, you can create personalized reports, build interactive business dashboards and generate actionable business insights. Rocket.BI also allows collaboration as working together with other people in the organization. -
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Alova.js
Workflow-Streamlined next-generation request tools
Extremely streamline API integration workflow. Quickly find APIs in the editor, and enjoy full type hints even in js projects with the API code automatically generated by Alova's extension. Request in various complex scenes by one line of code. Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying. Global interceptor that supports silent token refresh, as well as providing unified management of token-based login, logout, token assignment, and token refresh. -
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Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases.
