todoist-analytics
streamlit
todoist-analytics | streamlit | |
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2 | 266 | |
22 | 32,668 | |
- | 2.9% | |
6.2 | 9.8 | |
3 months ago | 7 days ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
todoist-analytics
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Todoist Analytics MVP is out (:
It was actually easy, in this file you can see how I handle user's first access and in this file you can see how I handle sessions.
streamlit
- Streamlit: A faster way to build and share data apps
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Build your AI Travel Agent with GPT-4o using Python
You'll use some amazing tools to make this happen. Streamlit will help you create a friendly and interactive interface; Phidata will handle your data; OpenAI's GPT-4 will provide smart conversational abilities; and Google Search-Results will fetch the best travel options. Together, these tools will allow you to build smart, responsive AI to plan your trips as if you had a personal travel guardian.
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WizSearch: 🏆 Winning My First AI Hackathon 🚀
UI: Streamlit for creating an interactive and user-friendly interface.
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Learnings from GenAI on AWS at Deloitte workshop
Streamlit - quickly creates web UI from Python without much frontend skills, great for POCs (Streamlit API Reference)
- A quick comparison: Streamlit, Dash, Reflex and Rio
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Build A Dual-Purpose App: Text-to-Image and Custom Chatbot Using Comet, GPT-3.5, DALL-E 2, and Streamlit
Streamlit is a platform that enables you to build web applications that can be hosted in the cloud in just minutes. It helps you build interactive dashboards, generate reports, or create chat applications. Once you’ve created an app, you can use the Community Cloud platform to deploy, manage, and share your application.
- Streamlit: Créer des apps en Python très simplement
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Create a Python app easily with Streamlit
Go to the Streamlit website, and you'll see written in front of you: "A faster way to build and share data apps". That seems to be what we're looking for 😄. A few minutes browsing the documentation confirms it. It's simple to install, use, and deploy, and it's all in Python. Let's see if it fits the bill!
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Developing a Generic Streamlit UI to Test Amazon Bedrock Agents
I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.
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Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
Streamlit (https://streamlit.io/)
What are some alternatives?
Media-Analysis - Data Science Exercises based on real-world scenarios with explanatory comments and prettified output.
PyWebIO - Write interactive web app in script way.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
nicegui - Create web-based user interfaces with Python. The nice way.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
reflex - 🕸️ Web apps in pure Python 🐍
PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
datapane - Build and share data reports in 100% Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
panel - Panel: The powerful data exploration & web app framework for Python