Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Data2viz positions itself as “the best open-source multiplatform data visualization library.” Its goal is to build data visualizations across deployment targets such as JVM, Android, and browsers, with iOS also mentioned as a future target. It is inspired by D3.js, but aims to reduce the complexity of developing advanced visualizations through an internal DSL, and to provide a higher-level DSL so that data2viz can be used as a charting library.
Functionally, Data2viz is not just a standard chart component, but a low-level capability library for custom visualization. The website examples include world temperature color scales, Hexbin, GeoJson map projections, Chord diagrams, force effects, natural log scales, and more, indicating a focus on complex graphics, scales, paths, maps, and interactive visualization. In terms of supported languages and frameworks, the text repeatedly mentions Kotlin and covers JVM, Android, browser, as well as consulting scenarios involving Kotlin/JS and Spring. Its open-source nature is clear, but the license, repository, versions, and maintenance cadence are not disclosed. At the API/SDK level, only fragments such as DSL, geo module, LogScale, and ContinuousScale are visible, with no complete API documentation available from the captured text.
The official website describes a vision for an online editor: users can load data, have the editor analyze it and assist with code binding, automatically detect errors, quickly get started with open data sources and public streaming APIs, and share, fork, link, and discover visualizations. However, the captured text does not confirm whether these features are fully live. Beyond the library itself, Data2viz SA also provides custom data visualization services, including requirements analysis, software architecture, UX/UI, prototyping, or full development, as well as consulting for Kotlin projects.
Pricing information is insufficient. The text only states that projects can be delivered at a fixed price or through an agile approach, and that customers can also be supported through consulting, but it does not list subscriptions, licensing terms, service quotes, or payment methods. For commercial procurement, direct contact is required to confirm contract terms, delivery scope, and support arrangements.
Its strengths are that it is open source, multiplatform, and clearly oriented around Kotlin, making it suitable for teams that need highly customized graphics rather than template-based charts. The team’s capabilities also cover business analysis, technical architecture, and UX/UI. The downside is that public information is incomplete: documentation, license, installation, versions, community ecosystem, and the status of the online platform are all unclear. It is better suited to developers with Kotlin/visualization engineering expertise, or companies looking to outsource or co-build complex data visualizations. If you only need a mature, ready-to-use general-purpose charting solution, ECharts, D3.js, Vega, Plotly.js, or Chart.js may be safer choices.
The captured content does not provide information about access from mainland China, network nodes, or payment options, so the access status is rated unknown. Enterprise users considering adoption should first verify the availability of the official website, code repository, and examples on their local network, and prepare the alternatives mentioned above.
⚠ 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 data2viz.io official site.
data2viz.io is an France Dev Tools provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach data2viz.io directly.