Tableflow - Railway Template

This example template to deploy a self-hosted version of Tableflow.

IMPORTANT: This repository is fork of Tableflow's official Repository. Since Tableflow code doesn't support path based routing for admin-ui and viewer-ui we have added nginx configuration to support path based routing.

What is Typebot?

TableFlow is a powerful data management and visualization tool designed to streamline your data processing needs. Whether you're a business user, data analyst, or developer, TableFlow provides a user-friendly interface and robust backend services to simplify data organization, transformation, and visualization. This README will guide you through TableFlow's features, services, and how to get started.

Features

TableFlow offers a wide range of features to help you manage and work with your data effectively:

• Admin UI: A user-friendly web-based administration interface to manage your data tables, users, and permissions.
• Backend Services: A powerful backend that handles data storage, retrieval, and processing.
• Importers: Built-in and customizable data importers to easily bring data into TableFlow.
• Data Manipulation: Tools for data cleaning, transformation, and manipulation.
• Visualization: Create stunning visualizations to gain insights from your data.
• Collaboration: Share data tables and visualizations with team members.
• Permissions: Fine-grained access control to protect sensitive data.
• Export: Export data tables and visualizations in various formats.
• Customization: Customize the appearance and behavior of your tables and visualizations.
• Automation: Automate repetitive tasks using scripting and scheduling.

✨ Services

• Admin UI
• Backend
• Importer UI

💁‍♀️ How to use

• Click the Railway button 👆
• Add the required environment variables.
• Deploy.
• Deployment will take some time. Once scylla DB is deployed and running backend service should start.
• Access the Admin UI by clicking on Railway's public URL.
• You can create a new importer by clicking on the "Create New" button on the top right corner.
• You can add necessary infomration and add new columns to importer based on the data type you want to import.
• You can view the created importer by clicking on the importer name .
• Once you save the importer, you can also modify the columns which you created.
• Table flow also giving example code block which you can add into your website to use the importer.
• Tableflow importer gives feature to import data from CSV with example CSV file which you can download. if you want to preview the importer you can click on preview button.
• Once you import the CSV file you can choose the header column and preview the data.
• After previewing the data you can import the data into the tableflow.
• You can view the imported data on data tab.
• There are more features of managing data in tableflow which you can explore by yourself.
• Enjoy 🎉

📝 Notes

• Source repo: https://github.com/tableflowhq/tableflow
• Docs: https://tableflow.com/docs/introduction