Data Analysis Agent wraps an LLM-based agent around a Pandas DataFrame to let users perform exploratory data analysis via natural language. When a user asks a question, the agent generates the required Python code, executes it, and returns results or charts. If a query is ambiguous, it asks clarifying questions before proceeding. It supports filtering, grouping, aggregation, summary statistics, and visualization libraries like Matplotlib or Seaborn for immediate insights, streamlining the analytics workflow and reducing the need to write boilerplate code.

Genkin is a modern financial tracking tool designed for users who wish to manage their finances easily. Unlike traditional spreadsheets, Genkin utilizes a chat-based interface, allowing users to log their transactions with ease. It provides detailed insights into spending patterns through interactive analytics. By integrating AI technology, the system learns user behaviors over time, offering personalized financial advice and tips to help users optimize their budgets. Whether for personal use or small business, Genkin's user-friendly design and functionality make it a top choice for effective money management.

Latitude is an open-source framework that enables developers to create and embed interactive data applications directly on top of their existing databases or data warehouses. With Latitude, you can build and customize API endpoints using only SQL, offering seamless integration and unparalleled customization. This tool enhances data teams' efficiency by reducing the need for extensive back-and-forth communication, thus streamlining data handling and visualization.

OpenDerisk provides a modular, extensible platform to evaluate and mitigate risks in AI systems. It includes fairness evaluation metrics, privacy leakage detection, adversarial robustness tests, bias monitoring, and output quality checks. Users can configure pre-built probes or develop custom modules to target specific risk domains. Results are aggregated into interactive reports that highlight vulnerabilities and suggest remediation steps. OpenDerisk runs as a CLI and Python SDK, allowing seamless integration into development workflows, continuous integration pipelines, and automated quality gates to ensure safe, reliable AI deployments.