Modern TUI with Textual in Python: Building Monokl
2026-07-17 , Conference Hall Complex (S4)

As developers, our daily workflow is scattered across dozens of platforms: GitHub for PRs and issues, Jira or Linear for tasks, GitLab for CI/CD, and Todoist for personal focus. Constant "context switching" between browser tabs is a productivity killer. To solve this, I built Monokl - a unified terminal dashboard that aggregates these services into a single, high-performance interface.

In this talk, we explore how to build complex, API-driven applications using Textual, the rapid application development framework for Python. We will dive into the real-world challenges of building Monokl, including:

  • Async integration: How to fetch data from multiple APIs (GitHub, Atlassian, GitLab, Linear) without freezing the UI.
  • Component architecture: Designing reusable widgets for task lists, progress bars, and status feeds.
  • Reactive UI: Using Textual’s reactive traits to ensure your dashboard updates not long after a PR is approved or a task is completed.
  • The TUI advantage: Why a terminal interface is often faster and more focused than a web-based aggregator.

Attendees will walk away with a clear blueprint for building their own interactive terminal tools and a deep understanding of the Textual framework.

Learning Outcomes

  • Learning Textual: Understand the core architecture of App, Screen, and Widget.
  • Managing async data: Learn patterns for integrating multiple external APIs/CLIs into a single event loop.
  • Modern layouts: How to use TCSS (Textual CSS) to create beautiful, responsive terminal layouts.
  • State & reactivity: How to use @reactive attributes to create a UI that stays in sync with background data.

Expected audience expertise: Beginner

Piotr Grędowski is a software developer with 9 years of experience working mostly with Python and TypeScript. He specializes in building internal tools designed to remove friction from the daily lives of developers. Driven by a natural desire to organize complex systems, he thrives on the challenge of establishing high coding standards and robust automation at scale.

He is a passionate builder who loves tackling difficult challenges and is constantly learning new technologies to expand his toolkit. As an early adopter of AI, he keeps a close eye on every new model coming out to the market, experimenting with how they can be leveraged to solve real-world problems. When he isn’t deep in code or breaking and fixing systems, he stays active by cycling, 3D printing, and tinkering in his workshop.