DashThis

Basedash is an AI-native business intelligence SaaS platform developed by Basedash. It connects to customer data sources and translates natural-language questions into charts, dashboards, and reports, while supporting reporting workflows for teams. Its governed semantic layer defines approved metrics and links them to answers, dashboards, and reports, providing a controlled basis for data queries and outputs without extensive BI setup.

Dashwise is an open-source, self-hosted homelab dashboard that combines links, search, RSS news, notifications, wallpapers, glanceables, widgets, and integrations with self-hosted services in configurable pages. It includes built-in authentication and SSO/OIDC support, a Spotlight-like search opened with Ctrl+K, and an HTTP endpoint for receiving push notifications by topic. Dashboards are configured through the user interface rather than configuration files; page configurations and user preferences are stored in PocketBase and read by the React frontend through its page-configuration API. Integrations are defined as YAML files that provide widgets, glanceables, and shortcuts. The application uses a React single-page frontend bundled with Bun, a Bun/Hono API layer, and a PocketBase backend, and can be deployed with Docker Compose. The repository warns that the project was partly rewritten after its last major release and recommends backing up the PocketBase directory before upgrading.

Databox is an agentic analytics platform for agencies and teams. It connects data from tools, spreadsheets, databases, and APIs, defines governed metrics through a semantic layer, and combines dashboards, reports, goals, and KPIs with AI analysis. Its AI Analyst answers questions using live data, while agents and automations run recurring analysis and follow-up workflows; its MCP capability grounds AI tools in Databox data and business context. The platform states that data is encrypted and access-controlled and is not used to train AI models.

Helical Insight is an open-source business intelligence and embedded analytics platform for self-hosted, cloud, on-premises, and hybrid deployments. It combines natural-language, chat-driven AI analytics with bring-your-own-LLM support, automatic SQL generation, report summarization, and insight discovery; interactive dashboards with filters, KPI widgets, drill-down and drill-through interactions, maps, charts, pivot tables, and custom JavaScript visualizations; and paginated, pixel-perfect reports for invoices, financial statements, operational reports, and regulatory reporting. Dashboards, reports, and the AI chatbot can be embedded in web applications, SaaS platforms, customer portals, and enterprise applications. Reports and dashboards can be exported to PDF, Excel, CSV, Word, HTML, JSON, and XML, scheduled for delivery by email, and distributed as personalized reports. The platform supports white labeling, multi-tenancy, row-, column-, and table-level security based on user context, and SSO through JWT, Okta, Keycloak, OAuth, and custom token-based mechanisms. It connects to relational databases, NoSQL and big-data systems, flat files, cloud storage, and APIs through native connectors, JDBC, REST APIs, custom integrations, and uploaded JDBC drivers. Docker, Kubernetes, caching, pagination, virtualization, load balancing, clustering, and REST APIs support deployment and extension, while developers can customize it with Java, JavaScript, CSS, HTML, Liquid Template Language, plugins, and custom workflows. The project states that its enterprise features are available in the free open-source version.

Dasher is DoorDash's driver-facing program and mobile app that allows independent couriers to sign up, accept and complete delivery orders, track earnings, and manage availability. It is operated by DoorDash, Inc.