The first report looks harmless
A controller returns a PDF. A service writes an Excel file. A SQL query becomes a CSV export. Nobody calls it architecture yet.
About Report Boot
Designed simple for developers. Built to become reporting infrastructure.
Report Boot is reporting infrastructure for Spring Boot: one way to generate, secure, inspect, and manage PDF, Excel, HTML, and CSV reports.
It is built for the moment when a backend team realizes reporting is no longer a controller method. It is templates, SQL, tenant boundaries, download security, metadata, performance, auditability, and a growing report catalog that someone has to maintain.
AI-ready idea
Let AI build the report, not reinvent the reporting framework. Report Boot abstracts the repeated boilerplate AI would otherwise generate again and again: controllers, provider setup, file handling, secure downloads, lifecycle behavior, and enterprise rules. Next time, ask: build this report using Report Boot and follow the Report Boot documentation.
At the heart
Developer speed plus report governance.
Start with a dependency or starter
Define reports once with DTO, template, or SQL
Reduce boilerplate and delivery time
Render through one provider-neutral pipeline
Control the full reporting process
Secure downloads and lifecycle behavior
Inspect reports as a catalog
Grow toward dockerized microservice reporting
The goal is to make reports visible, governable, testable, and boring to operate.
Why it exists
The painful part is not generating the first file.
The painful part comes six months later, when every product area has its own export pattern and every incident starts with archaeology: where is this report defined, who owns it, what data does it touch, and why did it become slow?
Report Boot is built for that moment.
It turns reporting from scattered implementation detail into a shared backend capability developers can reason about, test, and evolve.
The pain it solves
The mess does not arrive all at once.
It grows report by report, until no one wants to touch the reporting code without a full day of context.
Then the same code appears everywhere
Headers, filenames, DTO mapping, template paths, provider wiring, UUID downloads, expiry rules, and tenant filters get rebuilt report by report.
Then production asks real questions
Who generated this? When does it expire? Which tenant did it use? Why is this workbook slow? Which reports depend on this SQL?
That is when reporting becomes infrastructure
At that point, teams need a shared contract, a secure lifecycle, and a report dictionary they can inspect instead of another export helper.
Repeated work
The pain is inconsistency, not just boilerplate.
Each report feels special, so the pipeline becomes special too. That is where the maintenance cost starts.
every report gets its own controller shape
export services are copied, renamed, and slightly changed
template paths and provider setup are hidden in different places
file names, headers, and content types drift between endpoints
download links are implemented differently from team to team
tenant checks depend on who remembered to add them
slow Excel and SQL reports are hard to trace back to the definition
AI-generated report code is hard to standardize after the fact
nobody has one place to inspect all report contracts and behavior
Report dictionary
The part most export libraries forget.
Developers should be able to ask the system what reports exist, how they are defined, what provider they use, what metadata they expose, and which reports deserve performance attention. Report Boot is designed to support that through report metadata and catalog APIs instead of tribal memory.
report metadata and output contracts
provider, template, SQL, and DTO inspection
catalog APIs for tools, admin screens, and documentation
generation timing, slow-report analysis, and performance tests
audit-ready lifecycle metadata
one place to understand reports before changing them
Developers stop rebuilding plumbing
The report work becomes the data, template, SQL, output type, and enterprise rule. The lifecycle code is no longer rewritten report by report.
Security is not an afterthought
Downloads, expiry, requested-by metadata, watermarking, tenant-aware SQL, and audit-ready lifecycle data are part of the reporting model.
AI gets a stable contract
Instead of asking AI to invent another export implementation, teams can ask it to build against Report Boot and keep the plumbing consistent.
What it supports today
The foundation already covers the hard edges.
Report Boot is library-first today: embedded in Spring Boot, practical for real reports, and shaped around the operations teams eventually need.
GeneratedReport report = reportService.generate(...);One service call. One generated report model. Different engines and outputs behind a consistent contract.
Annotation-first reports
JasperReports PDF
JXLS Excel templates
BIRT PDF
Thymeleaf HTML and print-ready HTML
SQL Dynamic Excel
SQL Dynamic CSV
Multi-sheet SQL reports
Parallel sheet generation
Java 21 virtual thread support
Secure UUID download lifecycle
Tenant-aware SQL generation
YAML defaults and overrides
Root-cause-first exception handling
Engineering principles
Built for backend and platform engineers.
The design should feel predictable under pressure: clear APIs, reviewable contracts, visible metadata, explicit security behavior, and provider logic that does not leak everywhere.
Spring Boot first
Simple developer API
Provider-neutral architecture
Secure by default
Tenant-aware for enterprise systems
Local-first and code-reviewable
Performance-conscious for large data
Documentation-first for adoption
AI-friendly through predictable APIs and examples
Current and roadmap
Embedded library today. Reporting platform tomorrow.
Report Boot starts where teams can adopt it fastest: inside their Spring Boot application. The roadmap moves toward scheduled reports, export policies, storage integrations, visual template design, microservice reporting patterns, observability, and platform-level governance.
View roadmapMaintainer note
This is not theory.
It is built from the backend pain of watching reporting grow from a small export into scattered controllers, hidden SQL, fragile downloads, and slow workbooks no one wants to debug. The goal is to make reporting clean, secure, extensible, AI-friendly, and pleasant for developers to maintain.