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It is a popular open-source reporting engine. It is entirely written in Java and it is able to use data coming from any kind of data source and produce pixel-perfect documents that can be viewed, printed or exported in a variety of document formats including HTML, PDF, Excel, OpenOffice and Word. | Skimle helps researchers, analysts and consultants turn interviews, reports and other qualitative data into structured insights. Upload your PDFs, documents, audio, video or other data and have our tool analyse them, extract themes and build a transparent and editable Skimle table showing insights for each category from each document with transparent quotes. You can edit and analyse the spreadsheet together with our AI tool and then export to your tool of choice including Word, Excel and Powerpoint slides. Skimle is used by consultants (e.g., due diligence), market researchers (e.g., group interview analysis), academics (e.g., thematic analysis), public sector (e.g., policy feedback analysis), legal professionals (e.g., litigation discovery) and other knowledge workers wanting to harness responsible AI to improve the depth and speed of their work. |
| - | Upload interviews, transcripts, reports, PDFs, audio, or video (100+ languages supported), AI analyses each document and identifies key insights, Insights are automatically organized into 20-30 thematic categories, View all data in intuitive spreadsheet-like interface showing what each document says about each theme with full transparency, Edit, merge, split, or reorganize categories to match your analytical framework, Export organized insights with supporting quotes to your desired format (Word reports, Excel tables, PowerPoint slides etc.) |
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It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.