Best Data Visualization Software for Scala

AnyChart is an award-winning, flexible JavaScript (HTML5) charting library designed to cover all your needs in data visualization across platforms. Create interactive, beautiful charts, maps, and dashboards for any web, mobile, or standalone project. Designed for developers and businesses alike, AnyChart offers massive out-of-the-box capabilities, supporting 90+ chart types — from line and bar charts to Gantt charts, stock charts, and geospatial visualizations. It easily integrates with any technology stack and connects to any data source. Whether enhancing reports, embedding dashboards into SaaS or on-premises systems, or building entirely new solutions, AnyChart delivers flexibility, simplicity, and powerful results fast. Fully customizable and responsive, it ensures your visuals look great on any device. Trusted by Fortune 500 companies and thousands of developers worldwide. Start creating professional charts, maps, and dashboards with ease — download AnyChart JS today!

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.

Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems.