Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Cosmograph is a visualization and analytics tool for large-scale network graphs and machine learning embeddings. Its core selling point is that rendering and analysis happen in the browser with “no servers needed,” and data stays local by default. It offers a ready-to-use Web application, a Jupyter Notebook Widget, and JavaScript/React libraries, making it suitable for everything from exploratory analysis to embedding visualizations into your own applications.
Cosmograph 2.0 is built on DuckDB, Mosaic, SQLRooms, and cosmos.gl, with an emphasis on WebGL/GPU-accelerated force-directed layouts and rendering. It supports two modes: Graph and Embedding. The former generates network structures from source/target edge lists, while the latter is designed for exploring embedding data with existing x/y coordinates. Analytics features include timelines, histograms, search, data tables, rectangular selection, subgraph isolation, labels, legends, node/edge color and size mappings, CSV export, shareable URLs, and a QueryString API. In terms of data formats, the Web app documentation lists support for csv, tsv, and ssv, while the 2.0 introduction also mentions native Parquet support.
For developers, Cosmograph provides the npm packages @cosmograph/react and @cosmograph/cosmograph, both with TypeScript support. It also documents fairly detailed component and configuration APIs, including Timeline, Histogram, Search, Legend, button components, and data preparation methods. The Jupyter Widget is well suited to data scientists who want to interactively inspect complex relationships inside notebooks. Its ecosystem is tightly integrated with DuckDB, WebAssembly, React, Mosaic, and cosmos.gl.
Public pricing is split into Free, AI & Team, and Enterprise tiers. Free costs $0 and is limited to personal, educational, and other non-commercial use. AI & Team is in Closed Beta and includes team sharing, comments and discussions, and an AI assistant. Enterprise is custom priced and offers commercial use, on-premise installation, dedicated support, and personal API key access to the AI assistant.
Its strengths include privacy-friendly local processing, a modern performance stack, broad documentation coverage, and usefulness for analysts, researchers, and frontend developers. The drawbacks are that team collaboration and AI features are still in closed beta, commercial pricing is opaque, performance on very large graphs still depends on the local GPU and browser, and the documentation explicitly notes that certain Apple/Safari WebGL extension issues can affect layouts.
The crawled text does not provide information on access from mainland China, payment methods, or compliant deployment options, so this remains unknown. If access is unstable, you could look into self-hosted Enterprise options or evaluate alternatives such as Gephi, Cytoscape, Graphistry, Sigma.js, and cosmos.gl.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on cosmograph.app official site.
cosmograph.app is an Unknown Dev Tools provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach cosmograph.app directly.