Open Source TypeScript Data Management Systems - Page 2
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TypeScript Data Management Systems
View 4226 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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Create engaging surveys on your tablet or computer with ease.Create great-looking surveys, forms, polls, voting, questionnaires, NPS, customer satisfaction, customer experience, employee satisfaction surveys... on your computer or tablet, customize the look of your survey however you like, & display collected data with eye-catching and insightful graphics.
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The only CRM built for B2CKlaviyo unifies your customer profiles by capturing every event, and then lets you orchestrate your email marketing, SMS marketing, push notifications, WhatsApp, and RCS campaigns in one place. Klaviyo AI helps you build audiences, write copy, and optimize — so you can always send the right message at the right time, automatically. With real-time attribution and insights, you'll be able to make smarter, faster decisions that drive ROI.
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BizCharts
Powerful data visualization library based on G2 and React
BizCharts is Alibaba's general charting component library, dedicated to creating efficient, professional and convenient data visualization solutions in the middle and backend of enterprises. Based on the React charting library packaged by G2 and G2Plot, it has experienced three years of baptism in Alibaba's complex business scenarios. In terms of convenience, ease of use, and richness, it satisfies the business implementation of conventional charts and highly customized charts. After years of accumulation and continuous polishing, BizCharts 4.0 has been newly upgraded; in addition to having a flexible graphics syntax, it has added an interactive syntax and a better animation experience. At the same time, it enhances the React coding ability, and the writing is freer. The built-in encapsulation of responsive chart g2-plot works out of the box and complements the atomic capabilities of BizCharts to keep moving forward on the visual path of flexibility and ease of use. -
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Briefer
Dashboards and notebooks in a single place
Briefer is an open-source collaborative data platform that brings notebooks, dashboards, and interactive data apps into a unified workspace that combines the flexibility of code with the simplicity of visual exploration. It’s designed so technical users can write Markdown, SQL, and Python side by side for data analysis, visualization, and reporting, while non-technical viewers can interact with results through inputs, dropdowns, and date pickers without writing any code. Users work in a Notion-style interface where they can build, organize, and share pages that contain executable code blocks, charts, text explanations, and interactive elements within the same document, enabling rich data storytelling and reproducible analytics. Briefer supports real-time collaboration, meaning multiple teammates can edit the same notebook or dashboard simultaneously and see changes live, which encourages shared analysis and decision making. -
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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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DataStation Community Edition
App to easily query, script, and visualize data from every database
DataStation is an open-source data IDE for developers. It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your data, wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable. -
Unrivaled Embedded Payments Solutions | NMINMI Payments is an embedded payments solution that lets SaaS platforms, Software companies and ISVs integrate, brand, and manage payment acceptance directly within their software—without becoming a PayFac or building complex infrastructure. As a full-stack processor, acquirer, and technology partner, NMI handles onboarding, compliance, and risk so you can stay focused on growth. The modular, white-label platform supports omnichannel payments, from online, mobile and in-app to in-store and unattended. Choose from full-code, low-code, or no-code integration paths and launch in weeks, not months. Built-in risk tools, flexible monetization, and customizable branding help you scale faster while keeping full control of your experience. With NMI’s developer-first tools, sandbox testing, and modern APIs, you can embed payments quickly and confidently.
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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. -
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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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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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G2
Interactive data-driven visualization grammar for statistical charts
G2 is a highly interactive data-driven visualization grammar for statistical charts. with a high level of usability and scalability. It provides a set of grammar, and takes users beyond a limited set of charts to an almost unlimited world of graphical forms. With G2, you can describe the visual appearance and interactive behavior of visualization just by one statement, and generate web-based views using Canvas or SVG. We have summarized a series of story design templates from lots of real data visualization cases so that users can use them directly. Any chart can be drawn flexibly based on graphical grammar to meet your unlimited creativity. A large number of product practices, providing a graphics engine, complete graphical grammar, and professional design specifications.Powerful interactive grammar to help visual analysis and make charts vivid. -
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HiPlot
HiPlot makes understanding high dimensional data easy
HiPlot is an interactive visualization toolkit for exploring high-dimensional experiments, especially those produced during hyperparameter search or ablation studies. Its core view is a parallel-coordinates plot that lets you brush, filter, and highlight runs to spot trade-offs, correlations, and Pareto fronts at a glance. You can load results from simple CSV/JSON logs or programmatically push “experiments” with typed fields, metrics, and tags. The UI supports dynamic filtering, color mapping, and tooltip details so you can iteratively narrow to the most promising configurations. Because it renders as self-contained HTML, you can embed the visualization in notebooks, export it, or serve it as a lightweight web app for teammates. HiPlot also offers summary statistics, correlation hints, and outlier highlighting to surface patterns that aren’t obvious from raw tables. -
Accounting practice management softwareCanopy is a cloud-based practice management software for accounting and tax firms, offering tools for client engagement, document management, workflow automation, and time & billing. Its Client Engagement platform centralizes interactions with a secure portal, customizable branding, and email integration, while the Document Management system enables organized, paperless file storage. The Workflow module enhances visibility into tasks and projects through templates, task assignments, and automation, reducing human error. Additionally, the Time & Billing feature tracks billable hours, generates invoices, and processes payments, ensuring accurate financial management. With its comprehensive features, Canopy streamlines operations, reduces stress, and enhances client experiences.
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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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Link-Preview-JS
Extract web links information: title, description, images, videos, etc
link-preview-js is a lightweight TypeScript library that extracts metadata from URLs or HTML content to generate rich link previews. By parsing Open Graph tags and other metadata, it retrieves information such as titles, descriptions, images, and videos. Designed primarily for Node.js and mobile environments, it facilitates the creation of link previews similar to those found on social media platforms. -
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MTTK Open BI
A user-friendly lightweight BI tool.
A user-friendly lightweight BI tool. It is a set of plugins of MTTK Lowcode Engine, so the user manual and develop manual are combined together with MTTK Low Code Engine. Code repository: https://github.com/jamie-mttk/mttk-lowcode-designer Online demo available at http://139.129.210.30:8825 (First visit may be slow) Username: admin Password: 123456 Lightweight No data processing engine offered, all the data processing depends on the target Databse Server. Easy to use For example ,to build an echart need to provide many many configurtaions/options, such as title location, grid position,etc. To simplified the usage ,only the important options should be configured by user with default setting, other options are set by BI system automatically. -
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Outerbase
A lightweight Database GUI in your browser
Outerbase Studio is an open-source, browser-based database GUI designed for simplicity and versatility. It supports connecting to various relational databases, providing an intuitive interface for managing and querying data without the need for complex setups. -
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Querybook
Big Data Querying UI, combining collocated table metadata
Querybook is Pinterest’s open-source big data IDE via a notebook interface. Querybook’s core focus is to make composing queries, creating analyses, and collaborating with others as simple as possible. Organize rich text, queries, and charts into a notebook to easily document your analyses. Work collaboratively with others in a DataDoc and get real-time updates. The Query Editor is aware of your tables and their columns, as such it provides autocompletion, syntax highlighting, and the ability to hover or click on a table to view its information. No need to leave Querybook to create charts to quickly visualize your results. With a familiar interface easily create line, bar, stacked area, pie, horizontal bar, donut, scatter, and table charts. Add them then to your DataDoc to complete your data narrative. -
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React Chart.js
React components for Chart.js, the most popular charting library
React components for Chart.js, the most popular charting library. With v4, this library introduces a number of breaking changes. In order to improve performance, offer new features, and improve maintainability, it was necessary to break backwards compatibility, but we aimed to do so only when worth the benefit. You will find that any event which causes the chart to re-render, such as hover tooltips, etc., will cause the first dataset to be copied over to other datasets, causing your lines and bars to merge together. This is because to track changes in the dataset series, the library needs a key to be specified. If none is found, it can't tell the difference between the datasets while updating. Specify a different property to be used as a key by passing a datasetIdKey prop to your chart component. -
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Repatch
Dispatch reducers
Repatch is just a simplified Redux, that let you create actions more briefly by dispatching reducers directly. Redux has verbose action management. Most of redux projects do not need sctrict action administration. Action types, action creators and the reducer's action handlers are mutually assigned to each other. Repatch's purpose is to create actions briefly. The simplest way to keep the immutable action-controlled dataflow and define actions briefly is by dispatching pure functions (as reducers) to the store. -
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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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SGraph
Create charts by retrieving data from Stata on-the-fly
SGraph is a web application that interacts with Stata for creating graphs. It is a demo application that demostrates how to exploit SWire for creating web applications that communicate with Stata. SGraph is an open source project and you can download the code from the project web site web site or try the app on-line here: http://sgraph-with-swire.sourceforge.net/ The source project is hosted in GitHub: https://github.com/lomagno/sgraph -
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SandDance
Visually explore, understand, and present your data
By using easy-to-understand views, SandDance helps you find insights about your data, which in turn help you tell stories supported by data, build cases based on evidence, test hypotheses, dig deeper into surface explanations, support decisions for purchases, or relate data into a wider, real world context. SandDance uses unit visualizations, which apply a one-to-one mapping between rows in your database and marks on the screen. Smooth animated transitions between views help you to maintain context as you interact with your data. This new version of SandDance has been rebuilt from scratch with the goal of being modular, extensible, and embeddable into your custom applications. We are open and driven by the community through contributions, feature requests, and discussion. SandDance was created by the Microsoft Research VIDA Group which explores novel technologies for visualization and immersive data analytics. -
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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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Vue Clock Visualizer
Simple clock component written in Vue
Simple clock component is written in Vue. -
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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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arcgis-rest-js
compact, modular JavaScript wrappers for the ArcGIS REST API
Compact, modular JavaScript wrappers for the ArcGIS REST API that run in Node.js and modern browsers. ArcGIS REST JS is supported in Node.js 8.x and above. It requires additional packages to polyfill Fetch and FormData. ArcGIS REST JS is supported in the same browsers as the ArcGIS API for JavaScript. ArcGIS REST JS takes advantage of web standards that are supported in all modern desktop browsers and most mobile browsers. ArcGIS REST JS can be deployed with a variety of build tools. -
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billboard.js
Re-usable, easy interface JavaScript chart library based on D3.js
billboard.js is a re-usable, easy interface JavaScript chart library, based on D3.js. The name "billboard" comes from the famous "billboard chart" which everybody knows. billboard.js provides the easiest way to create a 'chart' instantly. Chart generation is super easy. With extensive options, you can create a chart instantly! Yes, billboard.js works on D3 v4+; what everybody was waiting for! All of the code was written as an ESM(ES Module) with ES6+ syntax. Combine hundreds of options to satisfy your needs. Checkout the examples to see in action! Play with the diverse options generated on the fly! If you want to use 'billboard.js' without installation, load files directly from one of the CDN providers. -
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data-table-filters
Faceted filters, sorting & infinite scroll for React data tables
data-table-filters is a frontend utility designed to simplify the implementation of advanced filtering capabilities in data tables within web applications. It provides a set of reusable components and hooks that allow developers to quickly add filtering, sorting, and search functionality to tabular data. The library is built with modern JavaScript frameworks in mind, ensuring compatibility with React-based applications. It emphasizes performance and usability, enabling efficient handling of large datasets while maintaining responsive interfaces. The tool also supports customization, allowing developers to tailor filtering logic and UI behavior to their specific needs. Its modular design makes it easy to integrate into existing projects without major refactoring. Overall, Data Table Filters enhances data-driven applications by providing flexible and scalable filtering solutions.
