Open Source TypeScript Data Visualization Software - Page 2
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TypeScript Data Visualization Software
View 452 business solutionsBrowse free open source TypeScript Data Visualization Software and projects below. Use the toggles on the left to filter open source TypeScript Data Visualization Software by OS, license, language, programming language, and project status.
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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D-Tale
Visualizer for pandas data structures
D-Tale is the combination of a Flask backend and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently, this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. D-Tale was the product of a SAS to Python conversion. What was originally a perl script wrapper on top of SAS's insight function is now a lightweight web client on top of Pandas data structures. To help guard against users loading the same data to D-Tale multiple times and thus eating up precious memory, we have a loose check for duplicate input data. If you are running ipython<=5.0 then you also have the ability to adjust the size of your output cell for the most recent instance displayed. JupyterHub has an extension that allows to proxy port for user, JupyterHub Server Proxy. -
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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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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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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. -
The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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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. -
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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. -
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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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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. -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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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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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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ipyvolume
3d plotting for Python in the Jupyter notebook
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL. Create quiver plots (like scatter, but with an arrow pointing in a particular direction). Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page). Render in stereo, for virtual reality with Google Cardboard. Animate in d3 style, for instance, if the x coordinates or color of a scatter plots changes. Animations / sequences, all scatter/quiver plot properties can be a list of arrays, which can represent time snapshots. -
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mapcn
Beautiful map components, 100% Free, Zero config, one command setup
mapcn is a research-oriented project centered on mapping continuous control in reinforcement learning to structured policies using neural networks. It explores how high-dimensional action spaces can be decomposed into structured primitives that can be learned, composed, and reused across different tasks. The core idea is to enable agents to generalize learned behavior by representing continuous control policies in a compact, interpretable form that preserves smoothness and controllability. The project includes implementations that experiment with policy encoding, action decomposition techniques, and sample efficiency analysis in classic reinforcement learning environments. By organizing action outputs into meaningful, lower-dimensional manifolds, MapCN attempts to improve both learning convergence and transfer performance when compared to unguided continuous control baselines. -
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md2googleslides
Generate Google Slides from markdown
Generate Google Slides from markdown & HTML. Run from the command line or embed in another application. This project was developed as an example of how to use the Slides API. While it does not yet produce stunningly beautiful decks, you are encouraged to use this tool for quickly prototyping presentations. The first time the command is run you will be prompted for authorization. OAuth token credentials are stored locally in a file named ~/.md2googleslides/credentials.json. Each time you will run the above comment, new slide deck will be generated. In order to work on exactly the same deck, just get the ID of the already generated slides. md2googleslides does not edit or control any theme-related options. Just set a base theme you want on Google Slides directly. Even if you will use, append option for deck reuse, theme will be not changed. Images can be placed on slides using image tags. Multiple images can be included.
